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### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Parties Involved, Confidential Information Definition, Use of Confidential Information, Duration of Confidentiality, Disclosure to Third Parties, Protection of Confidential Information, Confirmation of Confidential Information, Oral Information, Employee Access.
This is the Text: Premise: CONFIDENTIALITY AND NON-DISCLOSURE AGREEMENT THIS AGREEMENT dated the ___ day of _________________. BETWEEN: _________________________________ _________________________________ _________________________________ _________________________________ OF THE FIRST PART AND: KERBER APPLIED RESEARCH INC. 53 Isaac Brock Drive, Stoney Creek, Ontario Canada L8J 2P1 OF THE SECOND PART WHEREAS: A. The parties contemplate entering into business and technical discussions concerning both current and planned products; and B. It may be necessary or desirable for each party to disclose to the other party certain confidential or proprietary technical information in order to enable discussions to freely take place between them concerning the subject matter mentioned above. NOW THEREFORE in consideration of the premises, covenants and agreements herein set forth, the parties agree as follows: 1. For the purpose of this Agreement, “Confidential Information” means information, technical or commercial, whether in visual or machine readable form, received by one party from the other which is marked “Confidential” or “Proprietary”, or which would logically be considered confidential or proprietary in view of its relationship to the whole disclosure. Information initially furnished orally and identified by the disclosing party as confidential or proprietary at the time of disclosure will be confirmed by the disclosing party as Confidential Information in writing within thirty (30) days. 2. The receiving party will not use, manufacture or sell any document, schematic, drawing, photograph, specification, specimen or any other material making up any part of the Confidential Information, or use any Confidential Information as a basis for the design or creation of any items or other means without the prior written consent of the disclosing party. 3. For a period of five (5) years from the date of receiving it, all Confidential Information will be maintained in confidence by the receiving party, will not be disclosed to any third party or to any persons employed in its business other than those having a need to know for the purposes set forth above, and will be protected with the same degree
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees..
### Response: {"Parameters": ["Parties Involved", "Confidential Information Definition", "Use of Confidential Information", "Duration of Confidentiality", "Disclosure to Third Parties", "Protection of Confidential Information", "Confirmation of Confidential Information", "Oral Information", "Employee Access"], "Values": ["Party 1: Multiple individuals/organizations", "Party 2: Kerber Applied Research Inc.", "Information marked as 'Confidential' or 'Proprietary' or logically considered confidential or proprietary", "Cannot be used, manufactured, sold, or used as a basis for design without written consent from disclosing party", "Confidential Information must not be disclosed to third parties or employees except for those with a need to know for the purposes set forth", "Confidential Information must be protected with degree of care as if it was the receiving party's own information", "Oral Confidential Information must be confirmed in writing within 30 days of disclosure", "Oral Confidential Information can be identified as confidential by disclosing party at time of disclosure", "Employees with a need to know for the purposes set forth can access Confidential Information"]} | {"Parameters": ["Parties Involved", "Confidential Information Definition", "Use of Confidential Information", "Duration of Confidentiality", "Disclosure to Third Parties", "Protection of Confidential Information", "Confirmation of Confidential Information", "Oral Information", "Employee Access"], "Values": ["Party 1: Multiple individuals/organizations", "Party 2: Kerber Applied Research Inc.", "Information marked as 'Confidential' or 'Proprietary' or logically considered confidential or proprietary", "Cannot be used, manufactured, sold, or used as a basis for design without written consent from disclosing party", "Confidential Information must not be disclosed to third parties or employees except for those with a need to know for the purposes set forth", "Confidential Information must be protected with degree of care as if it was the receiving party's own information", "Oral Confidential Information must be confirmed in writing within 30 days of disclosure", "Oral Confidential Information can be identified as confidential by disclosing party at time of disclosure", "Employees with a need to know for the purposes set forth can access Confidential Information"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Parties Involved, Confidential Information Definition, Use of Confidential Information, Duration of Confidentiality, Disclosure to Third Parties, Protection of Confidential Information, Confirmation of Confidential Information, Oral Information, Employee Access.
This is the Text: Premise: CONFIDENTIALITY AND NON-DISCLOSURE AGREEMENT THIS AGREEMENT dated the ___ day of _________________. BETWEEN: _________________________________ _________________________________ _________________________________ _________________________________ OF THE FIRST PART AND: KERBER APPLIED RESEARCH INC. 53 Isaac Brock Drive, Stoney Creek, Ontario Canada L8J 2P1 OF THE SECOND PART WHEREAS: A. The parties contemplate entering into business and technical discussions concerning both current and planned products; and B. It may be necessary or desirable for each party to disclose to the other party certain confidential or proprietary technical information in order to enable discussions to freely take place between them concerning the subject matter mentioned above. NOW THEREFORE in consideration of the premises, covenants and agreements herein set forth, the parties agree as follows: 1. For the purpose of this Agreement, “Confidential Information” means information, technical or commercial, whether in visual or machine readable form, received by one party from the other which is marked “Confidential” or “Proprietary”, or which would logically be considered confidential or proprietary in view of its relationship to the whole disclosure. Information initially furnished orally and identified by the disclosing party as confidential or proprietary at the time of disclosure will be confirmed by the disclosing party as Confidential Information in writing within thirty (30) days. 2. The receiving party will not use, manufacture or sell any document, schematic, drawing, photograph, specification, specimen or any other material making up any part of the Confidential Information, or use any Confidential Information as a basis for the design or creation of any items or other means without the prior written consent of the disclosing party. 3. For a period of five (5) years from the date of receiving it, all Confidential Information will be maintained in confidence by the receiving party, will not be disclosed to any third party or to any persons employed in its business other than those having a need to know for the purposes set forth above, and will be protected with the same degree
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Effective Date, Sanmina Corporation, Recipient, Purpose, Confidential Information, Samples and Prototypes, Information Disclosure, Termination of Agreement, Destroy/Return of Information.
This is the Text: Premise: Supplier Non-Disclosure Agreement This Nondisclosure Agreement (“Agreement”) is made and entered into as of this ____ day of __________ 20__ (“Effective Date”) by and between Sanmina Corporation a Delaware corporation having a principal place of business at 2700 N. First Street, San Jose, California 95134 and its subsidiaries and affiliates (collectively “Sanmina”) and ____________________________ a __________________ company/corporation (“Recipient”) having a principal place of business at _________________________________. 1. Purpose of Disclosure. The purpose of this Agreement is to permit the parties to evaluate whether to enter into a business relationship and related projects (the “Purpose”). In connection with such discussions, Sanmina may disclose Confidential Informa-tion (defined below) to Recipient. 2. Confidential Information Defined. “Confidential Information” shall mean and include (i) samples and prototypes, (ii) all information disclosed in any form or medium (e.g., written, verbal, electronic, visual) which (a) has been identified by Sanmina as “Confidential,” “Proprietary” or other appropriate legend indicating the confidential nature of the information or (b) would reasonably be understood to be confidential. Confidential Information includes, but is not limited to, information regarding pricing, customers and prospective customers, vendors and vendor lists, costed bills of materials, processes (including but not limited to manufacturing processes), know-how, designs (including but not limited to designs of enclosures and printed circuit boards), formulae, computer programs, databases, methods of operation, sales techniques, business methods or plans, marketing plans and strategies, finances, management, plant and equipment, and any other business information relating to Sanmina, whether constituting a trade secret, proprietary information or otherwise, which has value to Sanmina and is treated by Sanmina as being confidential. 3. Information That Is Not Confidential. Information in the following categories shall not be considered Confidential
Hypothesis: Receiving Party shall destroy or return some Confidential Information upon the termination of Agreement..
### Response: {"Parameters": ["Effective Date", "Sanmina Corporation", "Recipient", "Purpose", "Confidential Information", "Samples and Prototypes", "Information Disclosure", "Termination of Agreement", "Destroy/Return of Information"], "Values": ["(to be filled by the date of agreement)", "Delaware Corporation with headquarters at 2700 N. First Street, San Jose, California 95134 and its subsidiaries and affiliates", "(to be filled by the other party)", "to evaluate whether to enter into a business relationship and related projects", "samples, prototypes, disclosed information labeled as confidential or that should be considered confidential", "included in confidential information", "confidential information can be disclosed in different ways/formats and can be labeled or understood as confidential", "upon termination of the Agreement, Recipient shall return or destroy any confidential information", "Recipient shall destroy or return some information upon the termination of the Agreement."]} | {"Parameters": ["Effective Date", "Sanmina Corporation", "Recipient", "Purpose", "Confidential Information", "Samples and Prototypes", "Information Disclosure", "Termination of Agreement", "Destroy/Return of Information"], "Values": ["(to be filled by the date of agreement)", "Delaware Corporation with headquarters at 2700 N. First Street, San Jose, California 95134 and its subsidiaries and affiliates", "(to be filled by the other party)", "to evaluate whether to enter into a business relationship and related projects", "samples, prototypes, disclosed information labeled as confidential or that should be considered confidential", "included in confidential information", "confidential information can be disclosed in different ways/formats and can be labeled or understood as confidential", "upon termination of the Agreement, Recipient shall return or destroy any confidential information", "Recipient shall destroy or return some information upon the termination of the Agreement."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Effective Date, Sanmina Corporation, Recipient, Purpose, Confidential Information, Samples and Prototypes, Information Disclosure, Termination of Agreement, Destroy/Return of Information.
This is the Text: Premise: Supplier Non-Disclosure Agreement This Nondisclosure Agreement (“Agreement”) is made and entered into as of this ____ day of __________ 20__ (“Effective Date”) by and between Sanmina Corporation a Delaware corporation having a principal place of business at 2700 N. First Street, San Jose, California 95134 and its subsidiaries and affiliates (collectively “Sanmina”) and ____________________________ a __________________ company/corporation (“Recipient”) having a principal place of business at _________________________________. 1. Purpose of Disclosure. The purpose of this Agreement is to permit the parties to evaluate whether to enter into a business relationship and related projects (the “Purpose”). In connection with such discussions, Sanmina may disclose Confidential Informa-tion (defined below) to Recipient. 2. Confidential Information Defined. “Confidential Information” shall mean and include (i) samples and prototypes, (ii) all information disclosed in any form or medium (e.g., written, verbal, electronic, visual) which (a) has been identified by Sanmina as “Confidential,” “Proprietary” or other appropriate legend indicating the confidential nature of the information or (b) would reasonably be understood to be confidential. Confidential Information includes, but is not limited to, information regarding pricing, customers and prospective customers, vendors and vendor lists, costed bills of materials, processes (including but not limited to manufacturing processes), know-how, designs (including but not limited to designs of enclosures and printed circuit boards), formulae, computer programs, databases, methods of operation, sales techniques, business methods or plans, marketing plans and strategies, finances, management, plant and equipment, and any other business information relating to Sanmina, whether constituting a trade secret, proprietary information or otherwise, which has value to Sanmina and is treated by Sanmina as being confidential. 3. Information That Is Not Confidential. Information in the following categories shall not be considered Confidential
Hypothesis: Receiving Party shall destroy or return some Confidential Information upon the termination of Agreement.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Parties, Possible Transaction, Evaluation Material, Provider, Recipient, Representatives, Confidential Information, Public Disclosure, Possession, Independent Development.
This is the Text: Premise: Exhibit (d)(3) MUTUAL NONDISCLOSURE AGREEMENT This Mutual Nondisclosure Agreement (this “Agreement”) by and between Convio, Inc., a Delaware corporation (“Convio”), and Blackbaud, a Delaware corporation (“Potential Buyer” and Convio and Potential Buyer, each a “Party” and collectively, the “Parties”), is dated as of the latest date set forth on the signature page hereto. 1. General. In connection with the consideration of a possible negotiated transaction (a “Possible Transaction”) between the Parties and/or their respective subsidiaries (each such Party being hereinafter referred to, collectively with its subsidiaries, as a “Company”), each Company (in its capacity as a provider of information hereunder, a “Provider”) is prepared to make available to the other Company (in its capacity as a recipient of information hereunder, a “Recipient”) certain “Evaluation Material” (as defined in Section 2 below) in accordance with the provisions of this Agreement, and to take or abstain from taking certain other actions as hereinafter set forth. 2. Definitions. (a) The term “Evaluation Material” means information concerning the Provider which has been or is furnished to the Recipient or its Representatives (as defined below) in connection with the Recipient’s evaluation of a Possible Transaction, including its business, financial condition, operations, assets and liabilities, and includes all notes, analyses, compilations, studies, interpretations or other documents prepared by the Recipient or its Representatives which contain or are based upon, in whole or in part, the information furnished by the Provider hereunder. The term Evaluation Material does not include information which (i) is or becomes generally available to the public other than as a result of a disclosure by the Recipient or its Representatives in breach of this Agreement, (ii) was within the Recipient’s possession prior to its being furnished to the Recipient by or on behalf of the Provider, provided that the source of
Hypothesis: Receiving Party may independently develop information similar to Confidential Information..
### Response: {"Parameters": ["Parties", "Possible Transaction", "Evaluation Material", "Provider", "Recipient", "Representatives", "Confidential Information", "Public Disclosure", "Possession", "Independent Development"], "Values": ["Convio, Inc. and Blackbaud", "negotiated transaction", "information concerning the Provider", "each Company", "recipient of information", "Reps", "information furnished by the Provider", "generally available to the public", "Recipient's possession prior to being furnished", "Receiving Party may independently develop information similar to Confidential Information"]} | {"Parameters": ["Parties", "Possible Transaction", "Evaluation Material", "Provider", "Recipient", "Representatives", "Confidential Information", "Public Disclosure", "Possession", "Independent Development"], "Values": ["Convio, Inc. and Blackbaud", "negotiated transaction", "information concerning the Provider", "each Company", "recipient of information", "Reps", "information furnished by the Provider", "generally available to the public", "Recipient's possession prior to being furnished", "Receiving Party may independently develop information similar to Confidential Information"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Parties, Possible Transaction, Evaluation Material, Provider, Recipient, Representatives, Confidential Information, Public Disclosure, Possession, Independent Development.
This is the Text: Premise: Exhibit (d)(3) MUTUAL NONDISCLOSURE AGREEMENT This Mutual Nondisclosure Agreement (this “Agreement”) by and between Convio, Inc., a Delaware corporation (“Convio”), and Blackbaud, a Delaware corporation (“Potential Buyer” and Convio and Potential Buyer, each a “Party” and collectively, the “Parties”), is dated as of the latest date set forth on the signature page hereto. 1. General. In connection with the consideration of a possible negotiated transaction (a “Possible Transaction”) between the Parties and/or their respective subsidiaries (each such Party being hereinafter referred to, collectively with its subsidiaries, as a “Company”), each Company (in its capacity as a provider of information hereunder, a “Provider”) is prepared to make available to the other Company (in its capacity as a recipient of information hereunder, a “Recipient”) certain “Evaluation Material” (as defined in Section 2 below) in accordance with the provisions of this Agreement, and to take or abstain from taking certain other actions as hereinafter set forth. 2. Definitions. (a) The term “Evaluation Material” means information concerning the Provider which has been or is furnished to the Recipient or its Representatives (as defined below) in connection with the Recipient’s evaluation of a Possible Transaction, including its business, financial condition, operations, assets and liabilities, and includes all notes, analyses, compilations, studies, interpretations or other documents prepared by the Recipient or its Representatives which contain or are based upon, in whole or in part, the information furnished by the Provider hereunder. The term Evaluation Material does not include information which (i) is or becomes generally available to the public other than as a result of a disclosure by the Recipient or its Representatives in breach of this Agreement, (ii) was within the Recipient’s possession prior to its being furnished to the Recipient by or on behalf of the Provider, provided that the source of
Hypothesis: Receiving Party may independently develop information similar to Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: From, Subject, Date, Content-Type, Content-Disposition, Content-Transfer-Encoding, Message-ID.
This is the Text: ----- Forwarded by Richard B Sanders/HOU/ECT on 01/25/2001 06:39 AM -----
"John Barr" <jbarr@bracepatt.com>
01/24/2001 03:46 PM
To: "W. Cleland Dade" <cdade@bracepatt.com>, <dan.lyons@enron.com>,
<richard.b.sanders@enron.com>
cc:
Subject: Fwd: Re: Settlement Agreement GE and Power Systems, etc..WPD
Here is the latest on the alleged settlement.
John H. Barr, Jr.
Bracewell & Patterson, L.L.P.
711 Louisiana, Ste 2900
Houston, Texas 77002
(713)221-1242
(713)222-3206 (fax)
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Date: Wed, 24 Jan 2001 15:34:01 -0600
From: "B. Trent Webb" <BWEBB@shb.com>
To: jbarr@bracepatt.com
Subject: Re: Settlement Agreement GE and Power Systems, etc..WPD
MIME-Version: 1.0
X-WSS-ID: 167195E2231813-01-01
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline
We recently filed a joint motion to stay further proceedings to provide the
parties opportunity to finalize settlement. The stay expires February 16.
We hope to have everything wrapped up by then. We'll let you know if
anything happens.
Trent
>>> "John Barr" <jbarr@bracepatt.com> 01/24/01 02:53PM >>>
Do we have a signature on this Agreement yet?
Thanks
John H. Barr, Jr.
Bracewell & Patterson, L.L.P.
711 Louisiana, Ste 2900
Houston, Texas 77002
(713)221-1242
(713)222-3206 (fax)
"WorldSecure Server <shb.com>" made the following
annotations on 01/24/01 15:34:56
------------------------------------------------------------------------------
From the law offices of Shook,Hardy, Bacon LLP.
CONFIDENTIALITY NOTICE: This e-mail message including attachments, if any, is
intended only for the person or entity to which it is addressed and may
contain confidential and/or privileged material. Any unauthorized review,
use, disclosure or distribution is prohibited. If you are not the intended
recipient, please contact the sender by reply e-mail and destroy all copies
of the original message. If you are the intended recipient but do not wish
to receive communications through this medium, please so advise the sender
immediately.
=======================================.
### Response: {"Parameters": ["From", "Subject", "Date", "Content-Type", "Content-Disposition", "Content-Transfer-Encoding", "Message-ID"], "Values": ["B. Trent Webb <BWEBB@shb.com>", "Re: Settlement Agreement GE and Power Systems, etc..WPD", "Wed, 24 Jan 2001 15:34:01 -0600", "text/plain; charset=us-ascii", "inline", "quoted-printable", "<sa6ef604.014@gwsmtp.1kc.shb.com>"]} | {"Parameters": ["From", "Subject", "Date", "Content-Type", "Content-Disposition", "Content-Transfer-Encoding", "Message-ID"], "Values": ["B. Trent Webb <BWEBB@shb.com>", "Re: Settlement Agreement GE and Power Systems, etc..WPD", "Wed, 24 Jan 2001 15:34:01 -0600", "text/plain; charset=us-ascii", "inline", "quoted-printable", "<sa6ef604.014@gwsmtp.1kc.shb.com>"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: From, Subject, Date, Content-Type, Content-Disposition, Content-Transfer-Encoding, Message-ID.
This is the Text: ----- Forwarded by Richard B Sanders/HOU/ECT on 01/25/2001 06:39 AM -----
"John Barr" <jbarr@bracepatt.com>
01/24/2001 03:46 PM
To: "W. Cleland Dade" <cdade@bracepatt.com>, <dan.lyons@enron.com>,
<richard.b.sanders@enron.com>
cc:
Subject: Fwd: Re: Settlement Agreement GE and Power Systems, etc..WPD
Here is the latest on the alleged settlement.
John H. Barr, Jr.
Bracewell & Patterson, L.L.P.
711 Louisiana, Ste 2900
Houston, Texas 77002
(713)221-1242
(713)222-3206 (fax)
Content-Transfer-Encoding: quoted-printable
Received: from mcafee.bracepatt.com by bracepatt.com; Wed, 24 Jan 2001
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Message-ID: <sa6ef604.014@gwsmtp.1kc.shb.com>
X-Mailer: Novell GroupWise 5.5.3
Date: Wed, 24 Jan 2001 15:34:01 -0600
From: "B. Trent Webb" <BWEBB@shb.com>
To: jbarr@bracepatt.com
Subject: Re: Settlement Agreement GE and Power Systems, etc..WPD
MIME-Version: 1.0
X-WSS-ID: 167195E2231813-01-01
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline
We recently filed a joint motion to stay further proceedings to provide the
parties opportunity to finalize settlement. The stay expires February 16.
We hope to have everything wrapped up by then. We'll let you know if
anything happens.
Trent
>>> "John Barr" <jbarr@bracepatt.com> 01/24/01 02:53PM >>>
Do we have a signature on this Agreement yet?
Thanks
John H. Barr, Jr.
Bracewell & Patterson, L.L.P.
711 Louisiana, Ste 2900
Houston, Texas 77002
(713)221-1242
(713)222-3206 (fax)
"WorldSecure Server <shb.com>" made the following
annotations on 01/24/01 15:34:56
------------------------------------------------------------------------------
From the law offices of Shook,Hardy, Bacon LLP.
CONFIDENTIALITY NOTICE: This e-mail message including attachments, if any, is
intended only for the person or entity to which it is addressed and may
contain confidential and/or privileged material. Any unauthorized review,
use, disclosure or distribution is prohibited. If you are not the intended
recipient, please contact the sender by reply e-mail and destroy all copies
of the original message. If you are the intended recipient but do not wish
to receive communications through this medium, please so advise the sender
immediately.
=======================================. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: invoice_date, item_1_desc, item_2_net_worth, item_4_gross_worth, seller_tax_id, iban, item_4_vat, ice_no, total_gross_worth, item_3_net_worth, item_1_vat, client_tax_id.
This is the Text: ice_no 88072177 invoice_date 02/08/2019 seller White Group 703 Bean Way Suite 889 Cameronport SD 94482 client Cruz-Clark 248 Marvin Tunnel West Sandra WV 76185 seller_tax_id 931-97-7743 client_tax_id 953-90-5265 iban GB83OJQP12864164258940 item_1_desc Women Dress Gradient Color Long Sleeve Sexy Club Bodycon Mini Dresses Casual item_1_qty 5 item_1_net_price $7.59 item_1_net_worth $37.95 item_1_vat 10% item_1_gross_worth $41.75 item_2_desc Pre-Owned Women's Nah Nah Dress Size 8 Black Sheer Formal Sexy item_2_qty 3 item_2_net_price $12.99 item_2_net_worth $38.97 item_2_vat 10% item_2_gross_worth $42.87 item_3_desc Unbranded Dress Sleeveless Cowl Neck Gold Silver Purple Metallic Size 6 S item_3_qty 5 item_3_net_price 10 item_3_net_worth 50 item_3_vat 10% item_3_gross_worth 55 item_4_desc Rebecca Minkoff Black Polyester Fringe and Lambskin Dress Sz 12 item_4_qty 5 item_4_net_price $9.99 item_4_net_worth $49.95 item_4_vat 10% item_4_gross_worth $54.95 total_net_worth $176.87 total_vat $17.69 total_gross_worth $194.56.
### Response: {'Parameters': ['invoice_date', 'item_1_desc', 'item_2_net_worth', 'item_4_gross_worth', 'seller_tax_id', 'iban', 'item_4_vat', 'ice_no', 'total_gross_worth', 'item_3_net_worth', 'item_1_vat', 'client_tax_id'], 'Values': ['02/08/2019', 'Women Dress Gradient Color Long Sleeve Sexy Club Bodycon Mini Dresses Casual', '$38.97', '$54.95', '931-97-7743', 'GB83OJQP12864164258940', '10%', '88072177', '$194.56', '50', '10%', '953-90-5265']} | {'Parameters': ['invoice_date', 'item_1_desc', 'item_2_net_worth', 'item_4_gross_worth', 'seller_tax_id', 'iban', 'item_4_vat', 'ice_no', 'total_gross_worth', 'item_3_net_worth', 'item_1_vat', 'client_tax_id'], 'Values': ['02/08/2019', 'Women Dress Gradient Color Long Sleeve Sexy Club Bodycon Mini Dresses Casual', '$38.97', '$54.95', '931-97-7743', 'GB83OJQP12864164258940', '10%', '88072177', '$194.56', '50', '10%', '953-90-5265']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: invoice_date, item_1_desc, item_2_net_worth, item_4_gross_worth, seller_tax_id, iban, item_4_vat, ice_no, total_gross_worth, item_3_net_worth, item_1_vat, client_tax_id.
This is the Text: ice_no 88072177 invoice_date 02/08/2019 seller White Group 703 Bean Way Suite 889 Cameronport SD 94482 client Cruz-Clark 248 Marvin Tunnel West Sandra WV 76185 seller_tax_id 931-97-7743 client_tax_id 953-90-5265 iban GB83OJQP12864164258940 item_1_desc Women Dress Gradient Color Long Sleeve Sexy Club Bodycon Mini Dresses Casual item_1_qty 5 item_1_net_price $7.59 item_1_net_worth $37.95 item_1_vat 10% item_1_gross_worth $41.75 item_2_desc Pre-Owned Women's Nah Nah Dress Size 8 Black Sheer Formal Sexy item_2_qty 3 item_2_net_price $12.99 item_2_net_worth $38.97 item_2_vat 10% item_2_gross_worth $42.87 item_3_desc Unbranded Dress Sleeveless Cowl Neck Gold Silver Purple Metallic Size 6 S item_3_qty 5 item_3_net_price 10 item_3_net_worth 50 item_3_vat 10% item_3_gross_worth 55 item_4_desc Rebecca Minkoff Black Polyester Fringe and Lambskin Dress Sz 12 item_4_qty 5 item_4_net_price $9.99 item_4_net_worth $49.95 item_4_vat 10% item_4_gross_worth $54.95 total_net_worth $176.87 total_vat $17.69 total_gross_worth $194.56. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_gross_worth, client, item_3_net_worth, item_2_net_worth, item_2_net_price, item_2_desc, total_net_worth, item_1_net_price, seller.
This is the Text: ice_no 51686132 invoice_date 06/27/2015 seller Stephens PLC PSC 4501 Box 4964 APO AA 03160 client White Blevins and Ellis Unit 7297 Box 4160 DPO AP 42542 seller_tax_id 953-96-5860 client_tax_id 990-87-4012 iban GB67D5XM44548665165041 item_1_desc Nintendo Switch Lite Console Gray with Animal Crossing New Horizons Game item_1_qty 3 item_1_net_price 310 item_1_net_worth 930 item_1_vat 10% item_1_gross_worth 1023 item_2_desc Nintendo Wii U Console Deluxe/Handheld Bundle item_2_qty 1 item_2_net_price $79.99 item_2_net_worth $79.99 item_2_vat 10% item_2_gross_worth $87.99 item_3_desc Nintendo Wii U WUP-101(02) 32GB Console Black US Model item_3_qty 3 item_3_net_price 40 item_3_net_worth 120 item_3_vat 10% item_3_gross_worth 132 item_4_desc Nintendo Wii Console With Cables And Accessories And New Super Mario Bros Disc! item_4_qty 4 item_4_net_price $29.99 item_4_net_worth $119.96 item_4_vat 10% item_4_gross_worth $131.96 item_5_desc Nintendo Switch Lite Yellow CONSOLE ONLY No Accessories or Charger B1-2 item_5_qty 1 item_5_net_price 135 item_5_net_worth 135 item_5_vat 10% item_5_gross_worth $148.50 total_net_worth $1384.95 total_vat $138.50 total_gross_worth $1523.45.
### Response: {'Parameters': ['item_5_gross_worth', 'client', 'item_3_net_worth', 'item_2_net_worth', 'item_2_net_price', 'item_2_desc', 'total_net_worth', 'item_1_net_price', 'seller'], 'Values': ['$148.50', 'White', '120', '$79.99', '$79.99', 'Nintendo Wii U Console Deluxe/Handheld Bundle', '$1384.95', '310', 'Stephens PLC PSC 4501']} | {'Parameters': ['item_5_gross_worth', 'client', 'item_3_net_worth', 'item_2_net_worth', 'item_2_net_price', 'item_2_desc', 'total_net_worth', 'item_1_net_price', 'seller'], 'Values': ['$148.50', 'White', '120', '$79.99', '$79.99', 'Nintendo Wii U Console Deluxe/Handheld Bundle', '$1384.95', '310', 'Stephens PLC PSC 4501']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_gross_worth, client, item_3_net_worth, item_2_net_worth, item_2_net_price, item_2_desc, total_net_worth, item_1_net_price, seller.
This is the Text: ice_no 51686132 invoice_date 06/27/2015 seller Stephens PLC PSC 4501 Box 4964 APO AA 03160 client White Blevins and Ellis Unit 7297 Box 4160 DPO AP 42542 seller_tax_id 953-96-5860 client_tax_id 990-87-4012 iban GB67D5XM44548665165041 item_1_desc Nintendo Switch Lite Console Gray with Animal Crossing New Horizons Game item_1_qty 3 item_1_net_price 310 item_1_net_worth 930 item_1_vat 10% item_1_gross_worth 1023 item_2_desc Nintendo Wii U Console Deluxe/Handheld Bundle item_2_qty 1 item_2_net_price $79.99 item_2_net_worth $79.99 item_2_vat 10% item_2_gross_worth $87.99 item_3_desc Nintendo Wii U WUP-101(02) 32GB Console Black US Model item_3_qty 3 item_3_net_price 40 item_3_net_worth 120 item_3_vat 10% item_3_gross_worth 132 item_4_desc Nintendo Wii Console With Cables And Accessories And New Super Mario Bros Disc! item_4_qty 4 item_4_net_price $29.99 item_4_net_worth $119.96 item_4_vat 10% item_4_gross_worth $131.96 item_5_desc Nintendo Switch Lite Yellow CONSOLE ONLY No Accessories or Charger B1-2 item_5_qty 1 item_5_net_price 135 item_5_net_worth 135 item_5_vat 10% item_5_gross_worth $148.50 total_net_worth $1384.95 total_vat $138.50 total_gross_worth $1523.45. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_qty, item_4_net_price, item_4_qty, item_1_gross_worth, seller, item_2_qty, item_1_net_worth, item_2_vat, item_1_vat, seller_tax_id, iban.
This is the Text: ice_no 15226383 invoice_date 12/13/2012 seller Banks Group 9674 Sullivan Island Marilynstad NH 88620 client Hudson-Calderon 86827 Katherine Springs Suite 411 Tracyton NE 03962 seller_tax_id 931-96-3116 client_tax_id 951-78-0136 iban GB7351K180744390692678 item_1_desc Xmas Christmas Rug Carpet Cartoon Bedroom Kids Play Mat Soft Flannel Area Rugs @ item_1_qty 3 item_1_net_price CHF37.31 item_1_net_worth CHF111.93 item_1_vat 10% item_1_gross_worth CHF123.12 item_2_desc Red Traditional Oriental Medallion 8x10 Area Rug Carpet 2x3 Mat 5x7 Rugs item_2_qty 1 item_2_net_price CHF39.98 item_2_net_worth CHF39.98 item_2_vat 10% item_2_gross_worth CHF43.98 item_3_desc Black+White Rectangle Shape Area Rug Carpet Floor Pad Doormat Mats Non-slip Z4F9 item_3_qty 5 item_3_net_price CHF21.10 item_3_net_worth CHF105.50 item_3_vat 10% item_3_gross_worth CHF116.05 item_4_desc Cotton Handmade Area Rug Home Decorative Rustic Carpet Woven Dhurrie 3X5 Runner item_4_qty 1 item_4_net_price CHF44.40 item_4_net_worth CHF44.40 item_4_vat 10% item_4_gross_worth CHF48.84 total_net_worth CHF301.81 total_vat CHF30.18 total_gross_worth CHF331.99.
### Response: {'Parameters': ['item_1_qty', 'item_4_net_price', 'item_4_qty', 'item_1_gross_worth', 'seller', 'item_2_qty', 'item_1_net_worth', 'item_2_vat', 'item_1_vat', 'seller_tax_id', 'iban'], 'Values': ['3', 'CHF44.40', '1', 'CHF123.12', 'Banks Group 9674 Sullivan Island Marilynstad', '1', 'CHF111.93', '10%', '10%', '931-96-3116', 'GB7351K180744390692678']} | {'Parameters': ['item_1_qty', 'item_4_net_price', 'item_4_qty', 'item_1_gross_worth', 'seller', 'item_2_qty', 'item_1_net_worth', 'item_2_vat', 'item_1_vat', 'seller_tax_id', 'iban'], 'Values': ['3', 'CHF44.40', '1', 'CHF123.12', 'Banks Group 9674 Sullivan Island Marilynstad', '1', 'CHF111.93', '10%', '10%', '931-96-3116', 'GB7351K180744390692678']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_qty, item_4_net_price, item_4_qty, item_1_gross_worth, seller, item_2_qty, item_1_net_worth, item_2_vat, item_1_vat, seller_tax_id, iban.
This is the Text: ice_no 15226383 invoice_date 12/13/2012 seller Banks Group 9674 Sullivan Island Marilynstad NH 88620 client Hudson-Calderon 86827 Katherine Springs Suite 411 Tracyton NE 03962 seller_tax_id 931-96-3116 client_tax_id 951-78-0136 iban GB7351K180744390692678 item_1_desc Xmas Christmas Rug Carpet Cartoon Bedroom Kids Play Mat Soft Flannel Area Rugs @ item_1_qty 3 item_1_net_price CHF37.31 item_1_net_worth CHF111.93 item_1_vat 10% item_1_gross_worth CHF123.12 item_2_desc Red Traditional Oriental Medallion 8x10 Area Rug Carpet 2x3 Mat 5x7 Rugs item_2_qty 1 item_2_net_price CHF39.98 item_2_net_worth CHF39.98 item_2_vat 10% item_2_gross_worth CHF43.98 item_3_desc Black+White Rectangle Shape Area Rug Carpet Floor Pad Doormat Mats Non-slip Z4F9 item_3_qty 5 item_3_net_price CHF21.10 item_3_net_worth CHF105.50 item_3_vat 10% item_3_gross_worth CHF116.05 item_4_desc Cotton Handmade Area Rug Home Decorative Rustic Carpet Woven Dhurrie 3X5 Runner item_4_qty 1 item_4_net_price CHF44.40 item_4_net_worth CHF44.40 item_4_vat 10% item_4_gross_worth CHF48.84 total_net_worth CHF301.81 total_vat CHF30.18 total_gross_worth CHF331.99. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Sender, Recipient, Date, Subject, Lunch group, Lunch options, Lunch deliveries.
This is the Text: Tom, want me to start ordering lunches just for our group? I could even take specific orders for what each person likes, and have them bill us or put it on someone's credit card. I can do that for just the EOL guys, too. I found out that the deliveries are going to ECN, and the clerks are picking them up from there. Well, at lunchtime, I could take a dollie with me to carry it all, and/or have Michael Salinas help me. I don't know ... whatever you'd like. That's just a suggestion that I have, if you would still like to pull away from the daily lunches for the whole floor. I've noticed a lot of our guys don't like the lunches, and they sometimes go get food from the Energizer. We still get billed for their food, even if they don't eat.
Let me know if you'd still like to do this, because it's definitely possible.
Laura
P.S. - I just thought of another suggestion ... I could make Peanut Butter & Jelly sandwiches for us!!!! YEAH!
-----Original Message-----
From: Rangel, Ina
Sent: Monday, November 19, 2001 3:11 PM
To: Grigsby, Mike; Martin, Thomas A.; Roberts, Mike A.; Shively, Hunter S.; Neal, Scott; Luce, Laura; Vickers, Frank; Redmond, Brian; Tycholiz, Barry; Lagrasta, Fred
Cc: Vuittonet, Laura; Moore, Kevin G.; Villarreal, Alex; Bates, Kimberly; Quezada, Daniel; Hogan, Irena D.; Salinas, Michael; Presas, Jessica; Young, Becky
Subject: Daily Lunches
Deskheads:
After this week I was going to discontinue lunches other than bidweek for everyone except EOL traders. There are too many people going downstairs to get their lunch and your cost center is being charged daily whether people eat or not. I have had a couple of you approach me that you still would like for your groups to be included in daily lunches. Please email me by tommorrow and let me know if you would like to continue. For those that do not, I will notify your groups that this Wednesday will be the last day for their groups to eat.
Thank you,
Ina Rangel
Administrative Coordinator
Enron North America
713-853-7257 Voice
713-646-3604 Fax.
### Response: {"Parameters": ["Sender", "Recipient", "Date", "Subject", "Lunch group", "Lunch options", "Lunch deliveries"], "Values": ["Luce, Laura", "Rangel, Ina, Grigsby, Mike, Martin, Thomas A., Roberts, Mike A., Shively, Hunter S., Neal, Scott, Vickers, Frank, Redmond, Brian, Tycholiz, Barry, Lagrasta, Fred, Vuittonet, Laura, Moore, Kevin G., Villarreal, Alex, Bates, Kimberly, Quezada, Daniel, Hogan, Irena D., Salinas, Michael, Presas, Jessica, Young, Becky", "November 19, 2001 3:11 PM", "Daily Lunches", "EOL traders", "Specific orders for each person, billing, using credit card", "ECN deliveries, picked up by clerks"]} | {"Parameters": ["Sender", "Recipient", "Date", "Subject", "Lunch group", "Lunch options", "Lunch deliveries"], "Values": ["Luce, Laura", "Rangel, Ina, Grigsby, Mike, Martin, Thomas A., Roberts, Mike A., Shively, Hunter S., Neal, Scott, Vickers, Frank, Redmond, Brian, Tycholiz, Barry, Lagrasta, Fred, Vuittonet, Laura, Moore, Kevin G., Villarreal, Alex, Bates, Kimberly, Quezada, Daniel, Hogan, Irena D., Salinas, Michael, Presas, Jessica, Young, Becky", "November 19, 2001 3:11 PM", "Daily Lunches", "EOL traders", "Specific orders for each person, billing, using credit card", "ECN deliveries, picked up by clerks"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Sender, Recipient, Date, Subject, Lunch group, Lunch options, Lunch deliveries.
This is the Text: Tom, want me to start ordering lunches just for our group? I could even take specific orders for what each person likes, and have them bill us or put it on someone's credit card. I can do that for just the EOL guys, too. I found out that the deliveries are going to ECN, and the clerks are picking them up from there. Well, at lunchtime, I could take a dollie with me to carry it all, and/or have Michael Salinas help me. I don't know ... whatever you'd like. That's just a suggestion that I have, if you would still like to pull away from the daily lunches for the whole floor. I've noticed a lot of our guys don't like the lunches, and they sometimes go get food from the Energizer. We still get billed for their food, even if they don't eat.
Let me know if you'd still like to do this, because it's definitely possible.
Laura
P.S. - I just thought of another suggestion ... I could make Peanut Butter & Jelly sandwiches for us!!!! YEAH!
-----Original Message-----
From: Rangel, Ina
Sent: Monday, November 19, 2001 3:11 PM
To: Grigsby, Mike; Martin, Thomas A.; Roberts, Mike A.; Shively, Hunter S.; Neal, Scott; Luce, Laura; Vickers, Frank; Redmond, Brian; Tycholiz, Barry; Lagrasta, Fred
Cc: Vuittonet, Laura; Moore, Kevin G.; Villarreal, Alex; Bates, Kimberly; Quezada, Daniel; Hogan, Irena D.; Salinas, Michael; Presas, Jessica; Young, Becky
Subject: Daily Lunches
Deskheads:
After this week I was going to discontinue lunches other than bidweek for everyone except EOL traders. There are too many people going downstairs to get their lunch and your cost center is being charged daily whether people eat or not. I have had a couple of you approach me that you still would like for your groups to be included in daily lunches. Please email me by tommorrow and let me know if you would like to continue. For those that do not, I will notify your groups that this Wednesday will be the last day for their groups to eat.
Thank you,
Ina Rangel
Administrative Coordinator
Enron North America
713-853-7257 Voice
713-646-3604 Fax. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Confidential Information Retention, Return of Information, Destruction of Information, Exceptions to Confidential Information, Definition of Confidential Information, Disclosing Party, Receiving Party, Potential Transaction, Proprietary Information, Term of Agreement.
This is the Text: Premise: CONFIDENTIAL MUTUAL NON-DISCLOSURE AGREEMENT This MUTUAL NON-DISCLOSURE AGREEMENT (this "Agreement") is entered into as of September 11, 2013 by and between Sony Pictures Television Inc., having a place of business at 10202 West Washington Boulevard, Culver City, California 90232 ("Sony Pictures"), and Tribune Company, having its principal place of business at 435 North Michigan Avenue, Chicago, Illinois 60611 ("Company"). WHEREAS, Sony Pictures and Company wish to have discussions regarding potential business opportunities, including the possibility of Sony Pictures producing programming for Company affiliated stations and acquiring equity in Company (the "Potential Transaction"); and accordingly wish to disclose to and receive from each other, from time to time during the term of this Agreement, certain confidential and proprietary information regarding their respective businesses; NOW, THEREFORE, in consideration of such disclosures and the agreements and covenants herein contained, each of Sony Pictures and Company agrees as follows: 1. Definition of Confidential Information. “Confidential Information” shall mean all information disclosed, directly or indirectly, through any means of communication or observation, by or on behalf of one party hereto (the "Disclosing Party") to the other party hereto (the "Receiving Party") on or after the date hereof, that relates to or is derived from the Disclosing Party’s business, strategic, marketing, technological or creative affairs, or to any other matter that the Receiving Party is advised or has reason to know is the confidential or proprietary information of the Disclosing Party. Any material provided by either party to the other which is clearly designated "Confidential" (or other similar legend) will be presumed to be Confidential Information; the absence of any such legend, however, will not preclude the same from being deemed Confidential Information. 2. Exceptions to Confidential Information. Notwithstanding any other provision of this Agreement, "Confidential Information" does not include information which: (a) is or becomes generally known
Hypothesis: Receiving Party may retain some Confidential Information even after the return or destruction of Confidential Information..
### Response: {"Parameters": ["Confidential Information Retention", "Return of Information", "Destruction of Information", "Exceptions to Confidential Information", "Definition of Confidential Information", "Disclosing Party", "Receiving Party", "Potential Transaction", "Proprietary Information", "Term of Agreement"], "Values": ["May be retained by Receiving Party", "Required", "Optional", "Information that is generally known", "Information about Disclosing Party's business affairs", "Sony Pictures Television Inc.", "Tribune Company", "Production and acquisition of programming", "Confidential or proprietary information", "The date of September 11, 2013"]} | {"Parameters": ["Confidential Information Retention", "Return of Information", "Destruction of Information", "Exceptions to Confidential Information", "Definition of Confidential Information", "Disclosing Party", "Receiving Party", "Potential Transaction", "Proprietary Information", "Term of Agreement"], "Values": ["May be retained by Receiving Party", "Required", "Optional", "Information that is generally known", "Information about Disclosing Party's business affairs", "Sony Pictures Television Inc.", "Tribune Company", "Production and acquisition of programming", "Confidential or proprietary information", "The date of September 11, 2013"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Confidential Information Retention, Return of Information, Destruction of Information, Exceptions to Confidential Information, Definition of Confidential Information, Disclosing Party, Receiving Party, Potential Transaction, Proprietary Information, Term of Agreement.
This is the Text: Premise: CONFIDENTIAL MUTUAL NON-DISCLOSURE AGREEMENT This MUTUAL NON-DISCLOSURE AGREEMENT (this "Agreement") is entered into as of September 11, 2013 by and between Sony Pictures Television Inc., having a place of business at 10202 West Washington Boulevard, Culver City, California 90232 ("Sony Pictures"), and Tribune Company, having its principal place of business at 435 North Michigan Avenue, Chicago, Illinois 60611 ("Company"). WHEREAS, Sony Pictures and Company wish to have discussions regarding potential business opportunities, including the possibility of Sony Pictures producing programming for Company affiliated stations and acquiring equity in Company (the "Potential Transaction"); and accordingly wish to disclose to and receive from each other, from time to time during the term of this Agreement, certain confidential and proprietary information regarding their respective businesses; NOW, THEREFORE, in consideration of such disclosures and the agreements and covenants herein contained, each of Sony Pictures and Company agrees as follows: 1. Definition of Confidential Information. “Confidential Information” shall mean all information disclosed, directly or indirectly, through any means of communication or observation, by or on behalf of one party hereto (the "Disclosing Party") to the other party hereto (the "Receiving Party") on or after the date hereof, that relates to or is derived from the Disclosing Party’s business, strategic, marketing, technological or creative affairs, or to any other matter that the Receiving Party is advised or has reason to know is the confidential or proprietary information of the Disclosing Party. Any material provided by either party to the other which is clearly designated "Confidential" (or other similar legend) will be presumed to be Confidential Information; the absence of any such legend, however, will not preclude the same from being deemed Confidential Information. 2. Exceptions to Confidential Information. Notwithstanding any other provision of this Agreement, "Confidential Information" does not include information which: (a) is or becomes generally known
Hypothesis: Receiving Party may retain some Confidential Information even after the return or destruction of Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Type, Effective Date, Disclosing Party Address, Receiving Party Address, Purpose of Agreement, Definition of Confidential Information, Conditions of Confidential Information Disclosure, Return of Documents, Solicitation Restrictions.
This is the Text: Premise: AGREEMENT ON THE NON-DISCLOSURE OF CONFIDENTIAL INFORMATION (TWO-WAY) This Agreement is made with an effective date of the day of 200_ between The University of Bristol whose registered address is Senate House, Tyndall Ave, Bristol, BS8 1TH, and ____________________________________________________________ whose registered address is _________________________________ (the "Parties") THE PURPOSE of this Agreement is to regulate the exchange and subsequent treatment of confidential information to be received by or disclosed to the signatories to this Agreement, in the field of, so as to protect the proper interests of the disclosing party whilst this confidential information is in the possession or control of the receiving party. For the purposes of this Agreement the term confidential information includes proprietary materials and information relating thereto including without limitation specifications, drawings, designs, computer software and knowhow. In general the receiving party must afford disclosed confidential information the same degree of protection as it would afford its own. NOW IT IS HEREBY AGREED:- 1. The disclosure of confidential information is for the specific purpose of evaluating technology in the field described above in the first instance, and will normally be between of the University of Bristol and of. Any specific documents or materials which are necessarily provided on loan for the above purposes will be specified in a schedule to this Agreement and the receiving party will return these and any other documents or materials subsequently provided to the disclosing party on request. 2. The parties will mark or otherwise designate confidential information to show expressly or by necessary implication that it is imparted in confidence. 3. The receiving party will receive all confidential information (whether recorded in writing or by other means or given orally without record) which is disclosed in connection with this Agreement subject to the following conditions: a) it will take all proper and reasonable measures to ensure that the confidentiality of such information is maintained; b) it will not use the information for any commercial purpose or manufacture without obtaining a written licence or other agreement from the disclosing party; c) it will not disclose the information to any third party without written permission; d) it will not disclose the information to employees other
Hypothesis: Receiving Party shall not solicit some of Disclosing Party's representatives..
### Response: {"Parameters": ["Agreement Type", "Effective Date", "Disclosing Party Address", "Receiving Party Address", "Purpose of Agreement", "Definition of Confidential Information", "Conditions of Confidential Information Disclosure", "Return of Documents", "Solicitation Restrictions"], "Values": ["Two-way Non-disclosure Agreement", "200_", "Senate House, Tyndall Ave, Bristol, BS8 1TH", "unspecified (to be filled by the Parties)", "To regulate the exchange and subsequent treatment of confidential information in the field of ___ between the Parties", "Includes proprietary materials and information relating thereto, such as specifications, drawings, designs, computer software, and know-how", "Receiving party must maintain confidentiality, cannot use or manufacture without a written license, cannot disclose to third party without written permission, cannot disclose to employees other than those who need to know", "Specific documents or materials loaned for the evaluation of technology will be specified in a schedule and returned upon request", "Not mentioned in the text"]} | {"Parameters": ["Agreement Type", "Effective Date", "Disclosing Party Address", "Receiving Party Address", "Purpose of Agreement", "Definition of Confidential Information", "Conditions of Confidential Information Disclosure", "Return of Documents", "Solicitation Restrictions"], "Values": ["Two-way Non-disclosure Agreement", "200_", "Senate House, Tyndall Ave, Bristol, BS8 1TH", "unspecified (to be filled by the Parties)", "To regulate the exchange and subsequent treatment of confidential information in the field of ___ between the Parties", "Includes proprietary materials and information relating thereto, such as specifications, drawings, designs, computer software, and know-how", "Receiving party must maintain confidentiality, cannot use or manufacture without a written license, cannot disclose to third party without written permission, cannot disclose to employees other than those who need to know", "Specific documents or materials loaned for the evaluation of technology will be specified in a schedule and returned upon request", "Not mentioned in the text"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Type, Effective Date, Disclosing Party Address, Receiving Party Address, Purpose of Agreement, Definition of Confidential Information, Conditions of Confidential Information Disclosure, Return of Documents, Solicitation Restrictions.
This is the Text: Premise: AGREEMENT ON THE NON-DISCLOSURE OF CONFIDENTIAL INFORMATION (TWO-WAY) This Agreement is made with an effective date of the day of 200_ between The University of Bristol whose registered address is Senate House, Tyndall Ave, Bristol, BS8 1TH, and ____________________________________________________________ whose registered address is _________________________________ (the "Parties") THE PURPOSE of this Agreement is to regulate the exchange and subsequent treatment of confidential information to be received by or disclosed to the signatories to this Agreement, in the field of, so as to protect the proper interests of the disclosing party whilst this confidential information is in the possession or control of the receiving party. For the purposes of this Agreement the term confidential information includes proprietary materials and information relating thereto including without limitation specifications, drawings, designs, computer software and knowhow. In general the receiving party must afford disclosed confidential information the same degree of protection as it would afford its own. NOW IT IS HEREBY AGREED:- 1. The disclosure of confidential information is for the specific purpose of evaluating technology in the field described above in the first instance, and will normally be between of the University of Bristol and of. Any specific documents or materials which are necessarily provided on loan for the above purposes will be specified in a schedule to this Agreement and the receiving party will return these and any other documents or materials subsequently provided to the disclosing party on request. 2. The parties will mark or otherwise designate confidential information to show expressly or by necessary implication that it is imparted in confidence. 3. The receiving party will receive all confidential information (whether recorded in writing or by other means or given orally without record) which is disclosed in connection with this Agreement subject to the following conditions: a) it will take all proper and reasonable measures to ensure that the confidentiality of such information is maintained; b) it will not use the information for any commercial purpose or manufacture without obtaining a written licence or other agreement from the disclosing party; c) it will not disclose the information to any third party without written permission; d) it will not disclose the information to employees other
Hypothesis: Receiving Party shall not solicit some of Disclosing Party's representatives.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: client, item_3_vat, item_2_gross_worth, item_2_net_worth, seller_tax_id, item_1_net_worth.
This is the Text: ice_no 76229289 invoice_date 12/04/2018 seller Rodriguez and Sons 60916 James Squares Suite 024 Codytown NM 42311 client Lucero-Brown 20333 Erik Club Apt. 925 Lake Abigailborough MN 76772 seller_tax_id 943-82-3154 client_tax_id 905-72-6065 iban GB62DPIQ05886436296811 item_1_desc Gaming PC Computer RX 580 8GB Ryzen 5 2x8GB Ram item_1_qty 3 item_1_net_price 400 item_1_net_worth 1200 item_1_vat 10% item_1_gross_worth 1320 item_2_desc GAMING PC Desktop Computer RGB BUNDLE Intel CORE i7 16GB RAM Nvidia GTX 1650 1TB item_2_qty 5 item_2_net_price CHF549.99 item_2_net_worth CHF2749.95 item_2_vat 10% item_2_gross_worth CHF3024.95 item_3_desc computer item_3_qty 4 item_3_net_price CHF299.99 item_3_net_worth CHF1199.96 item_3_vat 10% item_3_gross_worth CHF1319.96 total_net_worth 5 CHF149.91 total_vat CHF514.99 total_gross_worth CHF5664.90.
### Response: {'Parameters': ['client', 'item_3_vat', 'item_2_gross_worth', 'item_2_net_worth', 'seller_tax_id', 'item_1_net_worth'], 'Values': ['Lucero-Brown 20333 Erik Club Apt. 925 Lake Abigailborough', '10%', 'CHF3024.95', 'CHF2749.95', '943-82-3154', '1200']} | {'Parameters': ['client', 'item_3_vat', 'item_2_gross_worth', 'item_2_net_worth', 'seller_tax_id', 'item_1_net_worth'], 'Values': ['Lucero-Brown 20333 Erik Club Apt. 925 Lake Abigailborough', '10%', 'CHF3024.95', 'CHF2749.95', '943-82-3154', '1200']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: client, item_3_vat, item_2_gross_worth, item_2_net_worth, seller_tax_id, item_1_net_worth.
This is the Text: ice_no 76229289 invoice_date 12/04/2018 seller Rodriguez and Sons 60916 James Squares Suite 024 Codytown NM 42311 client Lucero-Brown 20333 Erik Club Apt. 925 Lake Abigailborough MN 76772 seller_tax_id 943-82-3154 client_tax_id 905-72-6065 iban GB62DPIQ05886436296811 item_1_desc Gaming PC Computer RX 580 8GB Ryzen 5 2x8GB Ram item_1_qty 3 item_1_net_price 400 item_1_net_worth 1200 item_1_vat 10% item_1_gross_worth 1320 item_2_desc GAMING PC Desktop Computer RGB BUNDLE Intel CORE i7 16GB RAM Nvidia GTX 1650 1TB item_2_qty 5 item_2_net_price CHF549.99 item_2_net_worth CHF2749.95 item_2_vat 10% item_2_gross_worth CHF3024.95 item_3_desc computer item_3_qty 4 item_3_net_price CHF299.99 item_3_net_worth CHF1199.96 item_3_vat 10% item_3_gross_worth CHF1319.96 total_net_worth 5 CHF149.91 total_vat CHF514.99 total_gross_worth CHF5664.90. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_price, item_1_gross_worth, CA 09564, item_1_net_worth, item_1_vat, seller, iban, seller_tax_id, ice_no, total_vat.
This is the Text: ice_no 32530472 invoice_date 08/27/2015 seller Cooper-Fox 00959 Gregory Valleys Apt. 881 East Samuel CA 09564 client Williams-Lucero 303 Solomon Lake Apt. 277 Weberland OR 55395 seller_tax_id 955-98-1434 client_tax_id 926-86-7447 iban GB63BMAU124512451382016568 item_1_desc Nintendo Gameboy Pocket Console Clear Purple with Box MGB-001 Japan Tested 53 item_1_qty 2 item_1_net_price 85 item_1_net_worth 170 item_1_vat 10% item_1_gross_worth 187 total_net_worth 170 total_vat 17 total_gross_worth 187.
### Response: {'Parameters': ['item_1_net_price', 'item_1_gross_worth', 'item_1_net_worth', 'item_1_vat', 'seller', 'iban', 'seller_tax_id', 'ice_no', 'total_vat'], 'Values': ['85', '187', '170', '10%', 'Cooper-Fox 00959 Gregory Valleys Apt. 881 East Samuel', 'GB63BMAU124512451382016568', '955-98-1434', '32530472', '17']} | {'Parameters': ['item_1_net_price', 'item_1_gross_worth', 'item_1_net_worth', 'item_1_vat', 'seller', 'iban', 'seller_tax_id', 'ice_no', 'total_vat'], 'Values': ['85', '187', '170', '10%', 'Cooper-Fox 00959 Gregory Valleys Apt. 881 East Samuel', 'GB63BMAU124512451382016568', '955-98-1434', '32530472', '17']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_price, item_1_gross_worth, CA 09564, item_1_net_worth, item_1_vat, seller, iban, seller_tax_id, ice_no, total_vat.
This is the Text: ice_no 32530472 invoice_date 08/27/2015 seller Cooper-Fox 00959 Gregory Valleys Apt. 881 East Samuel CA 09564 client Williams-Lucero 303 Solomon Lake Apt. 277 Weberland OR 55395 seller_tax_id 955-98-1434 client_tax_id 926-86-7447 iban GB63BMAU124512451382016568 item_1_desc Nintendo Gameboy Pocket Console Clear Purple with Box MGB-001 Japan Tested 53 item_1_qty 2 item_1_net_price 85 item_1_net_worth 170 item_1_vat 10% item_1_gross_worth 187 total_net_worth 170 total_vat 17 total_gross_worth 187. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_desc, invoice_date, item_4_net_worth, item_4_gross_worth, seller, item_3_gross_worth, client, item_1_net_price, item_3_net_worth.
This is the Text: ice_no 48186352 invoice_date 06/10/2013 seller Silva-Horn 7758 Robbins Port Morganmouth WY 15331 client Gonzalez-Brown 6396 Bishop Tunnel Singletonton MN 12547 seller_tax_id 966-76-5672 client_tax_id 939-87-8902 iban GB70ACOV98557167099260 item_1_desc Adult Girl Version Hermione Granger Cosplay Costume Gryffindor Kid size In Stock item_1_qty 2 item_1_net_price €64.16 item_1_net_worth €128.32 item_1_vat 10% item_1_gross_worth €141.15 item_2_desc Nike Air Max 90 All Black Leather Running Shoes 833412-001 Size 7Y (Women's €8.5) item_2_qty 4 item_2_net_price €74.99 item_2_net_worth €299.96 item_2_vat 10% item_2_gross_worth €329.96 item_3_desc INC International Concepts Children Shoes nvyzc7 Black Size Little Kid €2.5 item_3_qty 3 item_3_net_price €88.91 item_3_net_worth €266.73 item_3_vat 10% item_3_gross_worth €293.40 item_4_desc Florsheim kid's boys Lace Up Oxford Suede Dress Shoes Size 6M Solid Beige item_4_qty 5 item_4_net_price €29.99 item_4_net_worth €149.95 item_4_vat 10% item_4_gross_worth €164.94 item_5_desc Minecraft Creative Stuffed Plush Kids Childrens Gift Cute Toy Birthday Christmas item_5_qty 4 item_5_net_price €7.25 item_5_net_worth 29 item_5_vat 10% item_5_gross_worth €31.90 total_net_worth €873.96 total_vat €87.40 total_gross_worth €961.36.
### Response: {'Parameters': ['item_5_desc', 'invoice_date', 'item_4_net_worth', 'item_4_gross_worth', 'seller', 'item_3_gross_worth', 'client', 'item_1_net_price', 'item_3_net_worth'], 'Values': ['Minecraft Creative Stuffed Plush Kids Childrens Gift Cute Toy Birthday Christmas', '06/10/2013', '€149.95', '€164.94', 'Silva-Horn 7758 Robbins Port Morganmouth', '€293.40', 'Gonzalez-Brown 6396 Bishop Tunnel Singletonton', '€64.16', '€266.73']} | {'Parameters': ['item_5_desc', 'invoice_date', 'item_4_net_worth', 'item_4_gross_worth', 'seller', 'item_3_gross_worth', 'client', 'item_1_net_price', 'item_3_net_worth'], 'Values': ['Minecraft Creative Stuffed Plush Kids Childrens Gift Cute Toy Birthday Christmas', '06/10/2013', '€149.95', '€164.94', 'Silva-Horn 7758 Robbins Port Morganmouth', '€293.40', 'Gonzalez-Brown 6396 Bishop Tunnel Singletonton', '€64.16', '€266.73']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_desc, invoice_date, item_4_net_worth, item_4_gross_worth, seller, item_3_gross_worth, client, item_1_net_price, item_3_net_worth.
This is the Text: ice_no 48186352 invoice_date 06/10/2013 seller Silva-Horn 7758 Robbins Port Morganmouth WY 15331 client Gonzalez-Brown 6396 Bishop Tunnel Singletonton MN 12547 seller_tax_id 966-76-5672 client_tax_id 939-87-8902 iban GB70ACOV98557167099260 item_1_desc Adult Girl Version Hermione Granger Cosplay Costume Gryffindor Kid size In Stock item_1_qty 2 item_1_net_price €64.16 item_1_net_worth €128.32 item_1_vat 10% item_1_gross_worth €141.15 item_2_desc Nike Air Max 90 All Black Leather Running Shoes 833412-001 Size 7Y (Women's €8.5) item_2_qty 4 item_2_net_price €74.99 item_2_net_worth €299.96 item_2_vat 10% item_2_gross_worth €329.96 item_3_desc INC International Concepts Children Shoes nvyzc7 Black Size Little Kid €2.5 item_3_qty 3 item_3_net_price €88.91 item_3_net_worth €266.73 item_3_vat 10% item_3_gross_worth €293.40 item_4_desc Florsheim kid's boys Lace Up Oxford Suede Dress Shoes Size 6M Solid Beige item_4_qty 5 item_4_net_price €29.99 item_4_net_worth €149.95 item_4_vat 10% item_4_gross_worth €164.94 item_5_desc Minecraft Creative Stuffed Plush Kids Childrens Gift Cute Toy Birthday Christmas item_5_qty 4 item_5_net_price €7.25 item_5_net_worth 29 item_5_vat 10% item_5_gross_worth €31.90 total_net_worth €873.96 total_vat €87.40 total_gross_worth €961.36. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, total_net_worth, item_3_net_worth, item_1_desc, item_3_net_price, IN 84303, iban, item_2_net_worth, item_1_net_worth.
This is the Text: ice_no 64125453 invoice_date 03/25/2013 seller Soto and Sons 733 Walker Wells South Grace AL 58131 client Campos PLC 021 Ramirez Springs Apt. 983 Bradleyville IN 84303 seller_tax_id 953-83-6829 client_tax_id 942-98-6009 iban GB58PNWL56187666639321 item_1_desc New Fully Automatic Red Wine Bottle Opener Electric Red Wine Opener Corkscrew item_1_qty 3 item_1_net_price CHF25.99 item_1_net_worth CHF77.97 item_1_vat 10% item_1_gross_worth CHF85.77 item_2_desc NEW Wall Mounted Metal Relax Glass and Bottle Holder Wine Cork Storage 4 Rack item_2_qty 5 item_2_net_price CHF35.99 item_2_net_worth CHF179.95 item_2_vat 10% item_2_gross_worth CHF197.95 item_3_desc Wine Glasses Goblets Pair Clear Glass item_3_qty 1 item_3_net_price 12 item_3_net_worth 12 item_3_vat 10% item_3_gross_worth CHF13.20 total_net_worth CHF269.92 total_vat CHF26.99 total_gross_worth CHF296.91.
### Response: {'Parameters': ['total_gross_worth', 'total_net_worth', 'item_3_net_worth', 'item_1_desc', 'item_3_net_price', 'iban', 'item_2_net_worth', 'item_1_net_worth'], 'Values': ['CHF296.91', 'CHF269.92', '12', 'New Fully Automatic Red Wine Bottle Opener Electric Red Wine Opener Corkscrew', '12', 'GB58PNWL56187666639321', 'CHF179.95', 'CHF77.97']} | {'Parameters': ['total_gross_worth', 'total_net_worth', 'item_3_net_worth', 'item_1_desc', 'item_3_net_price', 'iban', 'item_2_net_worth', 'item_1_net_worth'], 'Values': ['CHF296.91', 'CHF269.92', '12', 'New Fully Automatic Red Wine Bottle Opener Electric Red Wine Opener Corkscrew', '12', 'GB58PNWL56187666639321', 'CHF179.95', 'CHF77.97']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, total_net_worth, item_3_net_worth, item_1_desc, item_3_net_price, IN 84303, iban, item_2_net_worth, item_1_net_worth.
This is the Text: ice_no 64125453 invoice_date 03/25/2013 seller Soto and Sons 733 Walker Wells South Grace AL 58131 client Campos PLC 021 Ramirez Springs Apt. 983 Bradleyville IN 84303 seller_tax_id 953-83-6829 client_tax_id 942-98-6009 iban GB58PNWL56187666639321 item_1_desc New Fully Automatic Red Wine Bottle Opener Electric Red Wine Opener Corkscrew item_1_qty 3 item_1_net_price CHF25.99 item_1_net_worth CHF77.97 item_1_vat 10% item_1_gross_worth CHF85.77 item_2_desc NEW Wall Mounted Metal Relax Glass and Bottle Holder Wine Cork Storage 4 Rack item_2_qty 5 item_2_net_price CHF35.99 item_2_net_worth CHF179.95 item_2_vat 10% item_2_gross_worth CHF197.95 item_3_desc Wine Glasses Goblets Pair Clear Glass item_3_qty 1 item_3_net_price 12 item_3_net_worth 12 item_3_vat 10% item_3_gross_worth CHF13.20 total_net_worth CHF269.92 total_vat CHF26.99 total_gross_worth CHF296.91. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Responsibilities, Confidential Information, Non-Disclosure, Handling.
This is the Text: Premise: CONFIDENTIALITY, NON-DISCLOSURE AND COMPUTER ACCESS (SECURITY) AGREEMENT “Responsibilities” A. Every person who has been given access to a University of Nebraska information system or who has access to or knowledge of confidential or sensitive information or data, is obligated to keep such data confidential. Accordingly, every University of Nebraska employee, student, volunteer, contractor, business associate, or guest who either has or will be given access to printed or online confidential data is required to read and acknowledge his or her understanding of this agreement before being granted access. 1. I will only access confidential or sensitive data for legitimate business purposes as permitted by the University and will not use confidential or sensitive data for personal use. I understand that confidential or sensitive data includes but is not limited to databases and records containing Social Security numbers, checking and savings account numbers, non-published telephone numbers, personnel appraisals, educational records, medical history, and insurance coverage information. 2. I will not leave confidential or sensitive data in view of others who do not have a legitimate business reason to view the data and I will only share confidential data with persons having authorized access. 3. I will not discuss confidential or sensitive information or data in public places and will not remove confidential or sensitive data from my work site without University authorization. NON-DISCLOSURE AGREEMENT B. As an employee, contractor or consultant of the University of Nebraska, and related to my job responsibilities or assigned tasks, I may have access to, come in contact with, or reference confidential or sensitive information or data. Examples of this information and data include, but are not limited to: passwords, student disciplinary and academic records, personal health information, medical and research data, Social Security numbers, legally protected information, financial reports, security parameters and configurations, payroll information and personnel records, system logs and network traffic data, etc. This information or data is subject to University policies as well as regulatory and special handling requirements. 1. I accept responsibility for appropriate handling and management of information and data whether I come into contact with such information through my authorized access or in error. 2. I will maintain the confidentiality of this information and if uncertain about the appropriateness of who this information may
Hypothesis: Receiving Party may create a copy of some Confidential Information in some circumstances..
### Response: {"Parameters": ["Premise", "Responsibilities", "Confidential Information", "Non-Disclosure", "Handling"], "Values": ["CONFIDENTIALITY, NON-DISCLOSURE AND COMPUTER ACCESS (SECURITY) AGREEMENT", "Employee and user obligations to maintain confidentiality of sensitive data, legitimate business purposes, sharing with authorized personnel, non-disclosure agreement", "Sensitive and confidential information and data such as personal health information, Social Security numbers, system logs and network traffic data", "Agreement to maintain confidentiality and appropriate handling and management of confidential information", "Appropriate handling and management of confidential information whether accessed through authorized means or in error"]} | {"Parameters": ["Premise", "Responsibilities", "Confidential Information", "Non-Disclosure", "Handling"], "Values": ["CONFIDENTIALITY, NON-DISCLOSURE AND COMPUTER ACCESS (SECURITY) AGREEMENT", "Employee and user obligations to maintain confidentiality of sensitive data, legitimate business purposes, sharing with authorized personnel, non-disclosure agreement", "Sensitive and confidential information and data such as personal health information, Social Security numbers, system logs and network traffic data", "Agreement to maintain confidentiality and appropriate handling and management of confidential information", "Appropriate handling and management of confidential information whether accessed through authorized means or in error"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Responsibilities, Confidential Information, Non-Disclosure, Handling.
This is the Text: Premise: CONFIDENTIALITY, NON-DISCLOSURE AND COMPUTER ACCESS (SECURITY) AGREEMENT “Responsibilities” A. Every person who has been given access to a University of Nebraska information system or who has access to or knowledge of confidential or sensitive information or data, is obligated to keep such data confidential. Accordingly, every University of Nebraska employee, student, volunteer, contractor, business associate, or guest who either has or will be given access to printed or online confidential data is required to read and acknowledge his or her understanding of this agreement before being granted access. 1. I will only access confidential or sensitive data for legitimate business purposes as permitted by the University and will not use confidential or sensitive data for personal use. I understand that confidential or sensitive data includes but is not limited to databases and records containing Social Security numbers, checking and savings account numbers, non-published telephone numbers, personnel appraisals, educational records, medical history, and insurance coverage information. 2. I will not leave confidential or sensitive data in view of others who do not have a legitimate business reason to view the data and I will only share confidential data with persons having authorized access. 3. I will not discuss confidential or sensitive information or data in public places and will not remove confidential or sensitive data from my work site without University authorization. NON-DISCLOSURE AGREEMENT B. As an employee, contractor or consultant of the University of Nebraska, and related to my job responsibilities or assigned tasks, I may have access to, come in contact with, or reference confidential or sensitive information or data. Examples of this information and data include, but are not limited to: passwords, student disciplinary and academic records, personal health information, medical and research data, Social Security numbers, legally protected information, financial reports, security parameters and configurations, payroll information and personnel records, system logs and network traffic data, etc. This information or data is subject to University policies as well as regulatory and special handling requirements. 1. I accept responsibility for appropriate handling and management of information and data whether I come into contact with such information through my authorized access or in error. 2. I will maintain the confidentiality of this information and if uncertain about the appropriateness of who this information may
Hypothesis: Receiving Party may create a copy of some Confidential Information in some circumstances.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, seller, item_1_desc, total_net_worth, item_1_net_price, item_2_qty, item_1_vat.
This is the Text: ice_no 54533510 invoice_date 02/10/2021 seller Tucker Inc 160 Kaitlin Flat Griffithhaven DC90675 client Skinner Group 281 Cameron Alley East Marktown CT 76958 seller_tax_id 925-76-7636 client_tax_id 904-87-0658 iban GB15JPFA79210576920492 item_1_desc The Key to Rebecca by Ken Follett item_1_qty 5 item_1_net_price €5.17 item_1_net_worth €25.85 item_1_vat 10% item_1_gross_worth €28.44 item_2_desc Escape from the Carnival of Horrors (Give Yourself Goosebumps) by R. L. Stine item_2_qty 5 item_2_net_price €5.01 item_2_net_worth €25.05 item_2_vat 10% item_2_gross_worth €27.55 item_3_desc Master and God item_3_qty 1 item_3_net_price 7 item_3_net_worth 7 item_3_vat 10% item_3_gross_worth €7.70 total_net_worth €57.90 total_vat €5.79 total_gross_worth €63.69.
### Response: {'Parameters': ['total_gross_worth', 'seller', 'item_1_desc', 'total_net_worth', 'item_1_net_price', 'item_2_qty', 'item_1_vat'], 'Values': ['€63.69', 'Tucker Inc 160 Kaitlin Flat Griffithhaven', 'The Key to Rebecca by Ken Follett', '€57.90', '€5.17', '5', '10%']} | {'Parameters': ['total_gross_worth', 'seller', 'item_1_desc', 'total_net_worth', 'item_1_net_price', 'item_2_qty', 'item_1_vat'], 'Values': ['€63.69', 'Tucker Inc 160 Kaitlin Flat Griffithhaven', 'The Key to Rebecca by Ken Follett', '€57.90', '€5.17', '5', '10%']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, seller, item_1_desc, total_net_worth, item_1_net_price, item_2_qty, item_1_vat.
This is the Text: ice_no 54533510 invoice_date 02/10/2021 seller Tucker Inc 160 Kaitlin Flat Griffithhaven DC90675 client Skinner Group 281 Cameron Alley East Marktown CT 76958 seller_tax_id 925-76-7636 client_tax_id 904-87-0658 iban GB15JPFA79210576920492 item_1_desc The Key to Rebecca by Ken Follett item_1_qty 5 item_1_net_price €5.17 item_1_net_worth €25.85 item_1_vat 10% item_1_gross_worth €28.44 item_2_desc Escape from the Carnival of Horrors (Give Yourself Goosebumps) by R. L. Stine item_2_qty 5 item_2_net_price €5.01 item_2_net_worth €25.05 item_2_vat 10% item_2_gross_worth €27.55 item_3_desc Master and God item_3_qty 1 item_3_net_price 7 item_3_net_worth 7 item_3_vat 10% item_3_gross_worth €7.70 total_net_worth €57.90 total_vat €5.79 total_gross_worth €63.69. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_net_worth, item_2_net_price, item_2_vat, item_3_gross_worth, item_1_net_worth, item_3_desc, item_1_vat, total_vat, seller, item_1_qty, item_1_gross_worth.
This is the Text: ice_no 60400209 invoice_date 10/02/2017 seller White PLC 26881 Gregory Loaf Suite 262 Frenchmouth AL 15024 client Elliott-Cole 912 Coleman Mountains Apt. 947 New Brittanymouth TX 87230 seller_tax_id 995-72-0848 client_tax_id 979-73-3842 iban GB81EOTC18830149895987 item_1_desc RICOSTA BGE boys everyday casual sandals NEW Size 33/US item_1_qty 2 item_1_net_price 45 item_1_net_worth 90 item_1_vat 10% item_1_gross_worth 99 item_2_desc Blueteeth LED Galaxy Projector Starry Night Lamp Star Projection Night Light USB item_2_qty 4 item_2_net_price $28.49 item_2_net_worth $113.96 item_2_vat 10% item_2_gross_worth $125.36 item_3_desc Kid's Unicorn Sunglasses Girls Rainbow Mythical Fashion Shades item_3_qty 3 item_3_net_price $9.95 item_3_net_worth $29.85 item_3_vat 10% item_3_gross_worth $32.83 total_net_worth $233.81 total_vat $23.38 total_gross_worth $257.19.
### Response: {'Parameters': ['item_3_net_worth', 'item_2_net_price', 'item_2_vat', 'item_3_gross_worth', 'item_1_net_worth', 'item_3_desc', 'item_1_vat', 'total_vat', 'seller', 'item_1_qty', 'item_1_gross_worth'], 'Values': ['$29.85', '$28.49', '10%', '$32.83', '90', "Kid's Unicorn Sunglasses Girls Rainbow Mythical Fashion Shades", '10%', '$23.38', 'White PLC 26881 Gregory Loaf Suite 262 Frenchmouth', '2', '99']} | {'Parameters': ['item_3_net_worth', 'item_2_net_price', 'item_2_vat', 'item_3_gross_worth', 'item_1_net_worth', 'item_3_desc', 'item_1_vat', 'total_vat', 'seller', 'item_1_qty', 'item_1_gross_worth'], 'Values': ['$29.85', '$28.49', '10%', '$32.83', '90', "Kid's Unicorn Sunglasses Girls Rainbow Mythical Fashion Shades", '10%', '$23.38', 'White PLC 26881 Gregory Loaf Suite 262 Frenchmouth', '2', '99']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_net_worth, item_2_net_price, item_2_vat, item_3_gross_worth, item_1_net_worth, item_3_desc, item_1_vat, total_vat, seller, item_1_qty, item_1_gross_worth.
This is the Text: ice_no 60400209 invoice_date 10/02/2017 seller White PLC 26881 Gregory Loaf Suite 262 Frenchmouth AL 15024 client Elliott-Cole 912 Coleman Mountains Apt. 947 New Brittanymouth TX 87230 seller_tax_id 995-72-0848 client_tax_id 979-73-3842 iban GB81EOTC18830149895987 item_1_desc RICOSTA BGE boys everyday casual sandals NEW Size 33/US item_1_qty 2 item_1_net_price 45 item_1_net_worth 90 item_1_vat 10% item_1_gross_worth 99 item_2_desc Blueteeth LED Galaxy Projector Starry Night Lamp Star Projection Night Light USB item_2_qty 4 item_2_net_price $28.49 item_2_net_worth $113.96 item_2_vat 10% item_2_gross_worth $125.36 item_3_desc Kid's Unicorn Sunglasses Girls Rainbow Mythical Fashion Shades item_3_qty 3 item_3_net_price $9.95 item_3_net_worth $29.85 item_3_vat 10% item_3_gross_worth $32.83 total_net_worth $233.81 total_vat $23.38 total_gross_worth $257.19. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: ice_no, total_net_worth, client_tax_id, iban, DC 65686, total_gross_worth, item_1_vat, item_1_net_worth, seller.
This is the Text: ice_no 62517865 invoice_date 06/02/2015 seller Trujillo-Hunt 430 Mark Ferry Suite 495 Maxside DC 65686 client Lee and Sons 8552 Karen Islands East Roger ID 40416 seller_tax_id 992-71-8540 client_tax_id 929-86-0601 iban GB73HCPH34959888432899 item_1_desc Care & Repair of Furniture item_1_qty 2 item_1_net_price $4.25 item_1_net_worth $8.50 item_1_vat 10% item_1_gross_worth $9.35 total_net_worth $8.50 total_vat $0.85 total_gross_worth $9.35.
### Response: {'Parameters': ['ice_no', 'total_net_worth', 'client_tax_id', 'iban', 'total_gross_worth', 'item_1_vat', 'item_1_net_worth', 'seller'], 'Values': ['62517865', '$8.50', '929-86-0601', 'GB73HCPH34959888432899', '$9.35', '10%', '$8.50', 'Trujillo-Hunt 430 Mark Ferry Suite 495 Maxside']} | {'Parameters': ['ice_no', 'total_net_worth', 'client_tax_id', 'iban', 'total_gross_worth', 'item_1_vat', 'item_1_net_worth', 'seller'], 'Values': ['62517865', '$8.50', '929-86-0601', 'GB73HCPH34959888432899', '$9.35', '10%', '$8.50', 'Trujillo-Hunt 430 Mark Ferry Suite 495 Maxside']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: ice_no, total_net_worth, client_tax_id, iban, DC 65686, total_gross_worth, item_1_vat, item_1_net_worth, seller.
This is the Text: ice_no 62517865 invoice_date 06/02/2015 seller Trujillo-Hunt 430 Mark Ferry Suite 495 Maxside DC 65686 client Lee and Sons 8552 Karen Islands East Roger ID 40416 seller_tax_id 992-71-8540 client_tax_id 929-86-0601 iban GB73HCPH34959888432899 item_1_desc Care & Repair of Furniture item_1_qty 2 item_1_net_price $4.25 item_1_net_worth $8.50 item_1_vat 10% item_1_gross_worth $9.35 total_net_worth $8.50 total_vat $0.85 total_gross_worth $9.35. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, total_vat, client, seller, AR 78118, item_2_net_worth, item_2_vat.
This is the Text: ice_no 36033621 invoice_date 04/18/2017 seller Walton PLC 50871 Isaac Fields Apt. 331 Caseyton AR 78118 client Mitchell and Sons 654 Benjamin Mission West David SD 15741 seller_tax_id 918-86-3815 client_tax_id 934-76-2568 iban GB24XGSO63736958329533 item_1_desc DC Kids Turbo Skate Shoe (Little Kid/Big Kid) Color WHITE/ROYAL item_1_qty 4 item_1_net_price 55 item_1_net_worth 220 item_1_vat 10% item_1_gross_worth 242 item_2_desc Easy No Tie Rubber Shoe Laces Colored Trainers Snickers Kids + Adults Shoelaces item_2_qty 1 item_2_net_worth €1.55 item_2_vat 10% item_2_gross_worth €1.71 total_net_worth €221.55 total_vat €22.16 total_gross_worth €243.71.
### Response: {'Parameters': ['total_gross_worth', 'total_vat', 'client', 'seller', 'item_2_net_worth', 'item_2_vat'], 'Values': ['€243.71', '€22.16', 'Mitchell and Sons 654 Benjamin Mission West David', 'Walton PLC 50871 Isaac Fields Apt. 331 Caseyton', '€1.55', '10%']} | {'Parameters': ['total_gross_worth', 'total_vat', 'client', 'seller', 'item_2_net_worth', 'item_2_vat'], 'Values': ['€243.71', '€22.16', 'Mitchell and Sons 654 Benjamin Mission West David', 'Walton PLC 50871 Isaac Fields Apt. 331 Caseyton', '€1.55', '10%']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, total_vat, client, seller, AR 78118, item_2_net_worth, item_2_vat.
This is the Text: ice_no 36033621 invoice_date 04/18/2017 seller Walton PLC 50871 Isaac Fields Apt. 331 Caseyton AR 78118 client Mitchell and Sons 654 Benjamin Mission West David SD 15741 seller_tax_id 918-86-3815 client_tax_id 934-76-2568 iban GB24XGSO63736958329533 item_1_desc DC Kids Turbo Skate Shoe (Little Kid/Big Kid) Color WHITE/ROYAL item_1_qty 4 item_1_net_price 55 item_1_net_worth 220 item_1_vat 10% item_1_gross_worth 242 item_2_desc Easy No Tie Rubber Shoe Laces Colored Trainers Snickers Kids + Adults Shoelaces item_2_qty 1 item_2_net_worth €1.55 item_2_vat 10% item_2_gross_worth €1.71 total_net_worth €221.55 total_vat €22.16 total_gross_worth €243.71. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Disclosing Party Name and Address, Meeting Details, Discussed Information, Confidential Information Definition, Agreement Purpose, Restrictions on Confidential Information, Disclosure Restrictions, Permitted Use, Identification of Confidential Information.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT This NON-DISCLOSURE AGREEMENT (this “Agreement”) is made as of this ___ day of ___________, 2019, by and between Evelozcity with offices at 19951 Mariner Avenue, Torrance, CA 90503 (the “Disclosing Party”), and ______________________________ (the “Recipient”). 1. Background. The parties plan to attend a town hall-style meeting among various members of the vehicle industry sponsored by the Original Equipment Suppliers Association on Msy 22, 2019. (“Meeting”). During the Meeting, the Disclosing Party plans to discuss and display certain information regarding its company, including certain oral or written information about its vehicle prototypes, the component parts used in its vehicle prototypes and the company program plan. Any non-public information provided by Disclosing Party, including, without limitation, information about the prototype vehicles, component parts the and company itself at the Meeting are deemed Confidential Information (as defined below) for purposes of this Agreement. The parties hereto are entering into this Agreement to ensure the confidentiality of the Confidential Information. 2. Non-Disclosure of Confidential Information. The Recipient agrees not to videotape, photograph or otherwise record any Confidential Information. The Recipient shall not disclose any Confidential Information to any third parties other than to its affiliates, and its and their respective officers, directors, employees, consultants or professional advisers (collectively, “Representatives”) who have a need to know the Confidential Information for use in evaluating or pursuing a potential business relationship with Disclosing Party or its affiliates (“Permitted Use.”) Recipient will, and will cause its Representatives to (i) hold the Confidential Information in strict confidence, in a manner consistent with the protections it employs to protect its own confidential information of a similar nature, and in any event no less than a reasonable standard of care and in strict accordance with the provisions of this Agreement; and (ii) use the
Hypothesis: All Confidential Information shall be expressly identified by the Disclosing Party..
### Response: {"Parameters": ["Disclosing Party Name and Address", "Meeting Details", "Discussed Information", "Confidential Information Definition", "Agreement Purpose", "Restrictions on Confidential Information", "Disclosure Restrictions", "Permitted Use", "Identification of Confidential Information"], "Values": ["Evelozcity with offices at 19951 Mariner Avenue, Torrance, CA 90503", "Town hall-style meeting among various members of the vehicle industry sponsored by the Original Equipment Suppliers Association on May 22, 2019", "Information regarding its company, including certain oral or written information about its vehicle prototypes, the component parts used in its vehicle prototypes and the company program plan", "All non-public information provided by Disclosing Party, including, without limitation, information about the prototype vehicles, component parts the and company itself at the Meeting", "Ensure the confidentiality of the Confidential Information", "Recipient agrees not to videotape, photograph or otherwise record any Confidential Information", "The Recipient shall not disclose any Confidential Information to any third parties other than to its affiliates, and its and their respective officers, directors, employees, consultants or professional advisers", "Representatives who have a need to know the Confidential Information for use in evaluating or pursuing a potential business relationship with Disclosing Party or its affiliates", "All Confidential Information shall be expressly identified by the Disclosing Party."]} | {"Parameters": ["Disclosing Party Name and Address", "Meeting Details", "Discussed Information", "Confidential Information Definition", "Agreement Purpose", "Restrictions on Confidential Information", "Disclosure Restrictions", "Permitted Use", "Identification of Confidential Information"], "Values": ["Evelozcity with offices at 19951 Mariner Avenue, Torrance, CA 90503", "Town hall-style meeting among various members of the vehicle industry sponsored by the Original Equipment Suppliers Association on May 22, 2019", "Information regarding its company, including certain oral or written information about its vehicle prototypes, the component parts used in its vehicle prototypes and the company program plan", "All non-public information provided by Disclosing Party, including, without limitation, information about the prototype vehicles, component parts the and company itself at the Meeting", "Ensure the confidentiality of the Confidential Information", "Recipient agrees not to videotape, photograph or otherwise record any Confidential Information", "The Recipient shall not disclose any Confidential Information to any third parties other than to its affiliates, and its and their respective officers, directors, employees, consultants or professional advisers", "Representatives who have a need to know the Confidential Information for use in evaluating or pursuing a potential business relationship with Disclosing Party or its affiliates", "All Confidential Information shall be expressly identified by the Disclosing Party."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Disclosing Party Name and Address, Meeting Details, Discussed Information, Confidential Information Definition, Agreement Purpose, Restrictions on Confidential Information, Disclosure Restrictions, Permitted Use, Identification of Confidential Information.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT This NON-DISCLOSURE AGREEMENT (this “Agreement”) is made as of this ___ day of ___________, 2019, by and between Evelozcity with offices at 19951 Mariner Avenue, Torrance, CA 90503 (the “Disclosing Party”), and ______________________________ (the “Recipient”). 1. Background. The parties plan to attend a town hall-style meeting among various members of the vehicle industry sponsored by the Original Equipment Suppliers Association on Msy 22, 2019. (“Meeting”). During the Meeting, the Disclosing Party plans to discuss and display certain information regarding its company, including certain oral or written information about its vehicle prototypes, the component parts used in its vehicle prototypes and the company program plan. Any non-public information provided by Disclosing Party, including, without limitation, information about the prototype vehicles, component parts the and company itself at the Meeting are deemed Confidential Information (as defined below) for purposes of this Agreement. The parties hereto are entering into this Agreement to ensure the confidentiality of the Confidential Information. 2. Non-Disclosure of Confidential Information. The Recipient agrees not to videotape, photograph or otherwise record any Confidential Information. The Recipient shall not disclose any Confidential Information to any third parties other than to its affiliates, and its and their respective officers, directors, employees, consultants or professional advisers (collectively, “Representatives”) who have a need to know the Confidential Information for use in evaluating or pursuing a potential business relationship with Disclosing Party or its affiliates (“Permitted Use.”) Recipient will, and will cause its Representatives to (i) hold the Confidential Information in strict confidence, in a manner consistent with the protections it employs to protect its own confidential information of a similar nature, and in any event no less than a reasonable standard of care and in strict accordance with the provisions of this Agreement; and (ii) use the
Hypothesis: All Confidential Information shall be expressly identified by the Disclosing Party.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Receiving Party's Rights, Confidential Information, Disclosing Party's Rights, NRSC Membership, Confidentiality Maintenance, Disclosures, Competitive Injury.
This is the Text: Premise: NETWORK RELIABILITY STEERING COMMITTEE NONDISCLOSURE AGREEMENT THIS NONDISCLOSURE AGREEMENT (“AGREEMENT”) is made and entered into by and among the Parties identified who have executed this Agreement (“PARTIES”) for the purpose of maintaining the confidentiality of any commercial, proprietary, financial or confidential information or trade secrets shared among themselves for the purpose of assessing and making recommendations to the Alliance for Telecommunications Industry Solutions’ Network Reliability Steering Committee (“NRSC”). The NRSC shall maintain a list of all Parties that have executed this Agreement on the NRSC website at www.atis.org/nrsc. WHEREAS, the PARTIES are members of the NRSC and desire to analyze and discuss amongst themselves certain information solely for the purpose of making recommendations to the NRSC; WHEREAS, in pursuing these aims, the PARTIES expect from time to time to disclose to each other certain CONFIDENTIAL INFORMATION and that such disclosures will assist the NRSC in performing its duties; WHEREAS, without assurances that such CONFIDENTIAL INFORMATION will not be disclosed except as expressly authorized herein, the PARTIES would not share or disclose such CONFIDENTIAL INFORMATION; and WHEREAS, any disclosure of such CONFIDENTIAL INFORMATION in violation of the terms of this AGREEMENT will cause the DISCLOSING PARTY substantial competitive injury; NOW THEREFORE, for and in consideration of the above premises and for other good and valuable consideration, the receipt, adequacy and sufficiency of which are hereby acknowledged, the PARTIES, intending to be legally bound, hereby agree as follows: 1. Definitions. (a) “RECEIVING PARTY” shall mean a PARTY that has received access to CONFIDENTIAL INFORMATION by any of the other PARTIES. (b) “DISCLOSING PARTY” shall mean a PARTY that has disclosed CONFIDENTIAL INFORMATION to any of the other PARTIES. (c) “CONFIDENTIAL INFORMATION” shall
Hypothesis: Agreement shall not grant Receiving Party any right to Confidential Information..
### Response: {"Parameters": ["Receiving Party's Rights", "Confidential Information", "Disclosing Party's Rights", "NRSC Membership", "Confidentiality Maintenance", "Disclosures", "Competitive Injury"], "Values": ["None", "Commercial, proprietary, financial or confidential information or trade secrets shared amongst PARTIES for assessing and making recommendations to NRSC", "Authorize the disclosures of Confidential Information", "Membership of PARTIES in NRSC for analyzing and discussing information", "Maintaining confidentiality of information", "Expectation of disclosing certain Confidential Information", "Any disclosure of such Confidential Information would cause substantial competitive injury."]} | {"Parameters": ["Receiving Party's Rights", "Confidential Information", "Disclosing Party's Rights", "NRSC Membership", "Confidentiality Maintenance", "Disclosures", "Competitive Injury"], "Values": ["None", "Commercial, proprietary, financial or confidential information or trade secrets shared amongst PARTIES for assessing and making recommendations to NRSC", "Authorize the disclosures of Confidential Information", "Membership of PARTIES in NRSC for analyzing and discussing information", "Maintaining confidentiality of information", "Expectation of disclosing certain Confidential Information", "Any disclosure of such Confidential Information would cause substantial competitive injury."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Receiving Party's Rights, Confidential Information, Disclosing Party's Rights, NRSC Membership, Confidentiality Maintenance, Disclosures, Competitive Injury.
This is the Text: Premise: NETWORK RELIABILITY STEERING COMMITTEE NONDISCLOSURE AGREEMENT THIS NONDISCLOSURE AGREEMENT (“AGREEMENT”) is made and entered into by and among the Parties identified who have executed this Agreement (“PARTIES”) for the purpose of maintaining the confidentiality of any commercial, proprietary, financial or confidential information or trade secrets shared among themselves for the purpose of assessing and making recommendations to the Alliance for Telecommunications Industry Solutions’ Network Reliability Steering Committee (“NRSC”). The NRSC shall maintain a list of all Parties that have executed this Agreement on the NRSC website at www.atis.org/nrsc. WHEREAS, the PARTIES are members of the NRSC and desire to analyze and discuss amongst themselves certain information solely for the purpose of making recommendations to the NRSC; WHEREAS, in pursuing these aims, the PARTIES expect from time to time to disclose to each other certain CONFIDENTIAL INFORMATION and that such disclosures will assist the NRSC in performing its duties; WHEREAS, without assurances that such CONFIDENTIAL INFORMATION will not be disclosed except as expressly authorized herein, the PARTIES would not share or disclose such CONFIDENTIAL INFORMATION; and WHEREAS, any disclosure of such CONFIDENTIAL INFORMATION in violation of the terms of this AGREEMENT will cause the DISCLOSING PARTY substantial competitive injury; NOW THEREFORE, for and in consideration of the above premises and for other good and valuable consideration, the receipt, adequacy and sufficiency of which are hereby acknowledged, the PARTIES, intending to be legally bound, hereby agree as follows: 1. Definitions. (a) “RECEIVING PARTY” shall mean a PARTY that has received access to CONFIDENTIAL INFORMATION by any of the other PARTIES. (b) “DISCLOSING PARTY” shall mean a PARTY that has disclosed CONFIDENTIAL INFORMATION to any of the other PARTIES. (c) “CONFIDENTIAL INFORMATION” shall
Hypothesis: Agreement shall not grant Receiving Party any right to Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: From, Subject, Suppliers, Email.
This is the Text: ----- Forwarded by Susan J Mara/NA/Enron on 12/13/2000 03:14 PM -----
"Julee Malinowski-Ball" <jmball@ns.net>
12/13/2000 02:57 PM
Please respond to "Julee Malinowski-Ball"
To: "Katie Kaplan" <kaplan@iepa.com>, "Tom Ross" <tross@mcnallytemple.com>,
"Sue Mara" <smara@enron.com>, "Stephanie-Newell"
<stephanie-newell@reliantenergy.com>, "Rob Lamkin"
<rllamkin@seiworldwide.com>, "Richard Hyde" <rwhyde@duke-energy.com>, "Pigott
Jack" <jackp@calpine.com>, "Paula Hall-Collins"
<paula.hall-collins@williams.com>, "Norton Kelli"
<knorton@mcnallytemple.com>, "McNally Ray" <rmcnally@mcnallytemple.com>,
"Marty Wilson" <mwilson@pstrategies.com>, "Lynn Lednicky" <lale@dynegy.com>,
"Kristin Vellandi" <kvellandi@pstrategies.com>, "kent Palmerton"
<kent.palmerton@williams.com>, "Kassandra Gough" <kgough@calpine.com>, "Karen
Edson" <kedson@ns.net>, "John Stout" <John_H_Stout@reliantenergy.com>, "Joe
Ronan" <joer@calpine.com>, "Jeff Dasovich" <Jeff.Dasovich@enron.com>, "Jean
Munoz" <jmunoz@mcnallytemple.com>, "Jan Smutny-Jones" <smutny@iepa.com>,
"Greg Blue" <gtbl@dynegy.com>, "Curtis Kebler"
<curtis_l_kebler@reliantenergy.com>, "Bob Weisenmiller" <rbw@mrwassoc.com>,
"Baker Carolyn" <cabaker@duke-energy.com>, "B Brown Andy"
<andybrwn@earthlink.net>, "Andy Brown" <ABB@eslawfirm.com>, "Douglas Kerner"
<DKK@eslawfirm.com>, "Dave Modisette" <dmodis@ns.net>
cc: "Cary Rudman" <cjrudman@softcom.net>, "Hedy Govenar"
<hgovenar@acom2.com>, "Scott Govenar" <sgovenar@govadv.com>, "Bev Hansen"
<bhansen@lhom.com>
Subject: Follow-up to Governor's Press Conference
The following is the list of suppliers referenced by Governor Davis in today
's Washington, DC press conference. For those of you that are IEP members,
it would be helpful if you forwarded to IEP any comments you have made or
plan on making to the press.
These suppliers have advised the ISO that they are unwilling to sell power
into the California markets.
Dynegy Power Marketing
Trans Alta
Eugene Water and Electric
Southern Energy Trading
PowerEx (BC Hydro)
Public Service Colorado
Enron Power Marketing
Portland General
Avista (Washington Water Power)
Idaho Power Company
PPL Montana
Seattle City Light
Puget Sound Energy
Julee Malinowski-Ball
Edson + Modisette
jmball@ns.net.
### Response: {"Parameters": ["From", "Subject", "Suppliers", "Email"], "Values": ["Susan J Mara/NA/Enron", "Follow-up to Governor's Press Conference", "Dynegy Power Marketing, Trans Alta, Eugene Water and Electric, Southern Energy Trading, PowerEx (BC Hydro), Public Service Colorado, Enron Power Marketing, Portland General, Avista (Washington Water Power), Idaho Power Company, PPL Montana, Seattle City Light, Puget Sound Energy", "jmball@ns.net"]} | {"Parameters": ["From", "Subject", "Suppliers", "Email"], "Values": ["Susan J Mara/NA/Enron", "Follow-up to Governor's Press Conference", "Dynegy Power Marketing, Trans Alta, Eugene Water and Electric, Southern Energy Trading, PowerEx (BC Hydro), Public Service Colorado, Enron Power Marketing, Portland General, Avista (Washington Water Power), Idaho Power Company, PPL Montana, Seattle City Light, Puget Sound Energy", "jmball@ns.net"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: From, Subject, Suppliers, Email.
This is the Text: ----- Forwarded by Susan J Mara/NA/Enron on 12/13/2000 03:14 PM -----
"Julee Malinowski-Ball" <jmball@ns.net>
12/13/2000 02:57 PM
Please respond to "Julee Malinowski-Ball"
To: "Katie Kaplan" <kaplan@iepa.com>, "Tom Ross" <tross@mcnallytemple.com>,
"Sue Mara" <smara@enron.com>, "Stephanie-Newell"
<stephanie-newell@reliantenergy.com>, "Rob Lamkin"
<rllamkin@seiworldwide.com>, "Richard Hyde" <rwhyde@duke-energy.com>, "Pigott
Jack" <jackp@calpine.com>, "Paula Hall-Collins"
<paula.hall-collins@williams.com>, "Norton Kelli"
<knorton@mcnallytemple.com>, "McNally Ray" <rmcnally@mcnallytemple.com>,
"Marty Wilson" <mwilson@pstrategies.com>, "Lynn Lednicky" <lale@dynegy.com>,
"Kristin Vellandi" <kvellandi@pstrategies.com>, "kent Palmerton"
<kent.palmerton@williams.com>, "Kassandra Gough" <kgough@calpine.com>, "Karen
Edson" <kedson@ns.net>, "John Stout" <John_H_Stout@reliantenergy.com>, "Joe
Ronan" <joer@calpine.com>, "Jeff Dasovich" <Jeff.Dasovich@enron.com>, "Jean
Munoz" <jmunoz@mcnallytemple.com>, "Jan Smutny-Jones" <smutny@iepa.com>,
"Greg Blue" <gtbl@dynegy.com>, "Curtis Kebler"
<curtis_l_kebler@reliantenergy.com>, "Bob Weisenmiller" <rbw@mrwassoc.com>,
"Baker Carolyn" <cabaker@duke-energy.com>, "B Brown Andy"
<andybrwn@earthlink.net>, "Andy Brown" <ABB@eslawfirm.com>, "Douglas Kerner"
<DKK@eslawfirm.com>, "Dave Modisette" <dmodis@ns.net>
cc: "Cary Rudman" <cjrudman@softcom.net>, "Hedy Govenar"
<hgovenar@acom2.com>, "Scott Govenar" <sgovenar@govadv.com>, "Bev Hansen"
<bhansen@lhom.com>
Subject: Follow-up to Governor's Press Conference
The following is the list of suppliers referenced by Governor Davis in today
's Washington, DC press conference. For those of you that are IEP members,
it would be helpful if you forwarded to IEP any comments you have made or
plan on making to the press.
These suppliers have advised the ISO that they are unwilling to sell power
into the California markets.
Dynegy Power Marketing
Trans Alta
Eugene Water and Electric
Southern Energy Trading
PowerEx (BC Hydro)
Public Service Colorado
Enron Power Marketing
Portland General
Avista (Washington Water Power)
Idaho Power Company
PPL Montana
Seattle City Light
Puget Sound Energy
Julee Malinowski-Ball
Edson + Modisette
jmball@ns.net. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_worth, total_vat, item_2_net_worth, ice_no, client, item_1_qty, item_1_gross_worth, iban, client_tax_id, item_2_net_price, item_1_vat.
This is the Text: ice_no 34528548 invoice_date 11/02/2015 seller Garcia Stewart and Payne USCGC Frank FPO AE 30049 client Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown AL 90639 seller_tax_id 949-78-5411 client_tax_id 972-74-2815 iban GB60LA0W81233191361598 item_1_desc Dell Desktop Computers 0 Core i5 16GB 2TB HD 512GB SSD 0 Windows 10 PC 22LCD item_1_qty 2 item_1_net_price $139.95 item_1_net_worth $279.90 item_1_vat 10% item_1_gross_worth $307.89 item_2_desc Dell Optiplex Desktop Computer with Dual 19 LCD Monitors Windows 10 Pro item_2_qty 3 item_2_net_price $149.95 item_2_net_worth $449.85 item_2_vat 10% item_2_gross_worth $494.83 total_net_worth $729.75 total_vat $72.98 total_gross_worth $802.73.
### Response: {'Parameters': ['item_1_net_worth', 'total_vat', 'item_2_net_worth', 'ice_no', 'client', 'item_1_qty', 'item_1_gross_worth', 'iban', 'client_tax_id', 'item_2_net_price', 'item_1_vat'], 'Values': ['$279.90', '$72.98', '$449.85', '34528548', 'Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown', '2', '$307.89', 'GB60LA0W81233191361598', '972-74-2815', '$149.95', '10%']} | {'Parameters': ['item_1_net_worth', 'total_vat', 'item_2_net_worth', 'ice_no', 'client', 'item_1_qty', 'item_1_gross_worth', 'iban', 'client_tax_id', 'item_2_net_price', 'item_1_vat'], 'Values': ['$279.90', '$72.98', '$449.85', '34528548', 'Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown', '2', '$307.89', 'GB60LA0W81233191361598', '972-74-2815', '$149.95', '10%']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_worth, total_vat, item_2_net_worth, ice_no, client, item_1_qty, item_1_gross_worth, iban, client_tax_id, item_2_net_price, item_1_vat.
This is the Text: ice_no 34528548 invoice_date 11/02/2015 seller Garcia Stewart and Payne USCGC Frank FPO AE 30049 client Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown AL 90639 seller_tax_id 949-78-5411 client_tax_id 972-74-2815 iban GB60LA0W81233191361598 item_1_desc Dell Desktop Computers 0 Core i5 16GB 2TB HD 512GB SSD 0 Windows 10 PC 22LCD item_1_qty 2 item_1_net_price $139.95 item_1_net_worth $279.90 item_1_vat 10% item_1_gross_worth $307.89 item_2_desc Dell Optiplex Desktop Computer with Dual 19 LCD Monitors Windows 10 Pro item_2_qty 3 item_2_net_price $149.95 item_2_net_worth $449.85 item_2_vat 10% item_2_gross_worth $494.83 total_net_worth $729.75 total_vat $72.98 total_gross_worth $802.73. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, First Party, Second Party, Confidential Information, Receiving Party's obligation.
This is the Text: Premise: MUTUAL NON-DISCLOSURE AGREEMENT THIS AGREEMENT [the Agreement] is entered into on this [insert number of day] day of [insert Month and Year] by and between: 1. [Insert official name of the potential partner or participant], having its registered office or based in [insert the Legal Address of the Entity] hereinafter referred to as [...] and 2. [Insert official name of the potential partner or participant], having its registered of-fice or based in [insert the Legal Address of the Entity] hereinafter referred to as [....] [Add the identification of all the potential partners and participants that will take part in this Agreement] Individually referred to as a Party or collectively as the Parties. WHEREAS: The Parties hereto desire [to participate in early discussions regarding the entering into future collaboration as a European Funded Project in the field of (....)] or [to submit a proposal for a collaborative project in response to the call (identify the call) under (identi-fy the EU-funded Programme)] or [to evaluate entering into partnership or business col-laboration for the purpose of (identify the undertaking intended to perform)]. Throughout the aforementioned discussions, Parties may share between themselves proprietary information or Confidential Information under the terms and covenants set forth below. THE PARTIES HERETO AGREE AS FOLLOWS: 1. Confidential Information 1.1 For the purposes of this Agreement, Confidential Information means any data or in-formation that is proprietary to or possessed by a Party and not generally known to the public or that has not yet been revealed, whether in tangible or intangible form, when-ever and however disclosed, including, but not limited to: (i) any scientific or technical information, invention, design, process, procedure, formula, improvement, technology or method; (ii) any concepts, samples, reports, data, know-how, works-in-progress,
Hypothesis: Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information..
### Response: {"Parameters": ["Date", "First Party", "Second Party", "Confidential Information", "Receiving Party's obligation"], "Values": ["[insert number of day] of [insert Month and Year]", "[Insert official name of the potential partner or participant], having its registered office or based in [insert the Legal Address of the Entity]", "[Insert official name of the potential partner or participant], having its registered of-fice or based in [insert the Legal Address of the Entity]", "any data or in-formation that is proprietary to or possessed by a Party and not generally known to the public or that has not yet been revealed", "Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information."]} | {"Parameters": ["Date", "First Party", "Second Party", "Confidential Information", "Receiving Party's obligation"], "Values": ["[insert number of day] of [insert Month and Year]", "[Insert official name of the potential partner or participant], having its registered office or based in [insert the Legal Address of the Entity]", "[Insert official name of the potential partner or participant], having its registered of-fice or based in [insert the Legal Address of the Entity]", "any data or in-formation that is proprietary to or possessed by a Party and not generally known to the public or that has not yet been revealed", "Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, First Party, Second Party, Confidential Information, Receiving Party's obligation.
This is the Text: Premise: MUTUAL NON-DISCLOSURE AGREEMENT THIS AGREEMENT [the Agreement] is entered into on this [insert number of day] day of [insert Month and Year] by and between: 1. [Insert official name of the potential partner or participant], having its registered office or based in [insert the Legal Address of the Entity] hereinafter referred to as [...] and 2. [Insert official name of the potential partner or participant], having its registered of-fice or based in [insert the Legal Address of the Entity] hereinafter referred to as [....] [Add the identification of all the potential partners and participants that will take part in this Agreement] Individually referred to as a Party or collectively as the Parties. WHEREAS: The Parties hereto desire [to participate in early discussions regarding the entering into future collaboration as a European Funded Project in the field of (....)] or [to submit a proposal for a collaborative project in response to the call (identify the call) under (identi-fy the EU-funded Programme)] or [to evaluate entering into partnership or business col-laboration for the purpose of (identify the undertaking intended to perform)]. Throughout the aforementioned discussions, Parties may share between themselves proprietary information or Confidential Information under the terms and covenants set forth below. THE PARTIES HERETO AGREE AS FOLLOWS: 1. Confidential Information 1.1 For the purposes of this Agreement, Confidential Information means any data or in-formation that is proprietary to or possessed by a Party and not generally known to the public or that has not yet been revealed, whether in tangible or intangible form, when-ever and however disclosed, including, but not limited to: (i) any scientific or technical information, invention, design, process, procedure, formula, improvement, technology or method; (ii) any concepts, samples, reports, data, know-how, works-in-progress,
Hypothesis: Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Property, Confidentiality, Non-Disclosure, Non-Circumvention, Verification of Data, Receiving Party, Disclosing Party.
This is the Text: Premise: Confidentiality and Non-Disclosure Agreement _________________________________________________________________________________________________ _____________________________________________________________________________________ ("Prospect") and __________________________________________________________________________ ("Prospect’s Broker”) and _____________________________________________________________________________ (“Listing Broker”) agree to the following terms regarding the real property or business opportunity (collectively “Property”) described as: ________________________________________________________________________________________________. 1. Confidentiality. Prospect and Prospect’s Broker acknowledge that all information and materials provided by Listing Broker regarding the above-referenced Property is confidential and may not be used for any purpose other than evaluation. Prospect’s and Prospect’s Broker’s dissemination of any information and materials provided by Listing Broker will be limited to attorneys, accountants, banking representatives, and business advisors directly involved with the above-referenced Property. In the event the transaction is not successful, Prospect and Prospect’s Broker will immediately return to Listing Broker any information and materials provided by Listing Broker. 2. Non-Disclosure. Listing Broker, Prospect, and Prospect’s Broker agree not to disclose to any other person the fact that any discussions or negotiations are taking place with regard to the Property, the actual or potential terms, conditions, or facts involved in any such discussions or negotiations. 3. Non-Circumvention. Prospect and Prospect’s Broker agree not to contact the Property owner, landlord, tenants, employees, or customers except through Listing Broker. Prospect and Prospect’s Broker further agree not to circumvent or interfere with Listing Broker’s contract with owner/landlord in any way. 4. Verification of Data. No representation is made by Listing Broker as to the accuracy of the information and materials provided. Prospect and Prospect’s Broker agree to thoroughly review and independently verify the information and materials provided. Listing Broker advises Prospect and Prospect’s Broker to consult appropriate professionals for legal, tax, environmental, and other specialized advice concerning matters affecting the Property and the transaction contemplated. 5.
Hypothesis: Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information..
### Response: {"Parameters": ["Premise", "Property", "Confidentiality", "Non-Disclosure", "Non-Circumvention", "Verification of Data", "Receiving Party", "Disclosing Party"], "Values": ["Confidentiality and Non-Disclosure Agreement", "real property or business opportunity", "Prospect and Prospect\u2019s Broker must not use the information shared for any purpose other than evaluation", "All parties agree not to disclose any discussions or negotiations related to the Property", "Prospect and Prospect\u2019s Broker are restricted from contacting any parties involved with the Property except through Listing Broker", "No representation is made on the accuracy of the information and materials provided, and it is advised that appropriate professionals are consulted", "Receiving party should notify Disclosing Party if required by law to disclose any Confidential Information", "The party sharing the information"]} | {"Parameters": ["Premise", "Property", "Confidentiality", "Non-Disclosure", "Non-Circumvention", "Verification of Data", "Receiving Party", "Disclosing Party"], "Values": ["Confidentiality and Non-Disclosure Agreement", "real property or business opportunity", "Prospect and Prospect\u2019s Broker must not use the information shared for any purpose other than evaluation", "All parties agree not to disclose any discussions or negotiations related to the Property", "Prospect and Prospect\u2019s Broker are restricted from contacting any parties involved with the Property except through Listing Broker", "No representation is made on the accuracy of the information and materials provided, and it is advised that appropriate professionals are consulted", "Receiving party should notify Disclosing Party if required by law to disclose any Confidential Information", "The party sharing the information"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Property, Confidentiality, Non-Disclosure, Non-Circumvention, Verification of Data, Receiving Party, Disclosing Party.
This is the Text: Premise: Confidentiality and Non-Disclosure Agreement _________________________________________________________________________________________________ _____________________________________________________________________________________ ("Prospect") and __________________________________________________________________________ ("Prospect’s Broker”) and _____________________________________________________________________________ (“Listing Broker”) agree to the following terms regarding the real property or business opportunity (collectively “Property”) described as: ________________________________________________________________________________________________. 1. Confidentiality. Prospect and Prospect’s Broker acknowledge that all information and materials provided by Listing Broker regarding the above-referenced Property is confidential and may not be used for any purpose other than evaluation. Prospect’s and Prospect’s Broker’s dissemination of any information and materials provided by Listing Broker will be limited to attorneys, accountants, banking representatives, and business advisors directly involved with the above-referenced Property. In the event the transaction is not successful, Prospect and Prospect’s Broker will immediately return to Listing Broker any information and materials provided by Listing Broker. 2. Non-Disclosure. Listing Broker, Prospect, and Prospect’s Broker agree not to disclose to any other person the fact that any discussions or negotiations are taking place with regard to the Property, the actual or potential terms, conditions, or facts involved in any such discussions or negotiations. 3. Non-Circumvention. Prospect and Prospect’s Broker agree not to contact the Property owner, landlord, tenants, employees, or customers except through Listing Broker. Prospect and Prospect’s Broker further agree not to circumvent or interfere with Listing Broker’s contract with owner/landlord in any way. 4. Verification of Data. No representation is made by Listing Broker as to the accuracy of the information and materials provided. Prospect and Prospect’s Broker agree to thoroughly review and independently verify the information and materials provided. Listing Broker advises Prospect and Prospect’s Broker to consult appropriate professionals for legal, tax, environmental, and other specialized advice concerning matters affecting the Property and the transaction contemplated. 5.
Hypothesis: Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Receiving Party, Confidential Information, Agreement Date, Purpose of Information Disclosure, Employee Obligations, Third Party Disclosure, Exceptions to Disclosure Restrictions, Intellectual Property Rights, Representations and Warranties.
This is the Text: Premise: NETWORK CONFIDENTIAL INFORMATION NON DISCLOSURE AGREEMENT THIS AGREEMENT is made and entered into effective,, by and between, the State of Illinois, (the “State"), and (“Vendor”) for itself and its affiliated companies. WHEREAS, both parties, for their mutual benefit, desire to have the State disclose to Vendor certain specifications, designs, plans, drawings or other business and/or technical information which is proprietary, restricted or secret, and confidential to the State (“CONFIDENTIAL INFORMATION"). NOW, THEREFORE, the State and Vendor agree as follows: 1. Vendor shall use such CONFIDENTIAL INFORMATION only for the purpose of discussing street level route information for the State’s fiber optic network data points and paths with the State’s support team in discussions regarding the State’s fiber project. Vendor shall restrict disclosure of such CONFIDENTIAL INFORMATION to its employees with a need to know (and advise such employees of the obligations assumed herein), and shall not disclose such CONFIDENTIAL INFORMATION to any third party without prior written approval of the State. These restrictions on the use or disclosure of CONFIDENTIAL INFORMATION shall not apply to any CONFIDENTIAL INFORMATION: i. which is independently developed by Vendor or is lawfully received free of restriction from another source having the right to so furnish such CONFIDENTIAL INFORMATION; ii. after it has become generally available to the public without breach of this Agreement by Vendor; iii. which, at the time of disclosure to Vendor, was known to Vendor to be free of restriction; or iv. which the State agrees in writing is free of such restrictions. 2. No license under any trademark, patent, copyright, mask work protection right or any other intellectual property right is either granted or implied by conveying CONFIDENTIAL INFORMATION to Vendor. None of the CONFIDENTIAL INFORMATION which may be disclosed by the State shall constitute any representation, warranty, assurance, guarantee or inducement by the State of any kind, and, in particular, with respect to the non<unk> infringement of trademarks, patents, copyrights,
Hypothesis: Receiving Party may independently develop information similar to Confidential Information..
### Response: {"Parameters": ["Receiving Party", "Confidential Information", "Agreement Date", "Purpose of Information Disclosure", "Employee Obligations", "Third Party Disclosure", "Exceptions to Disclosure Restrictions", "Intellectual Property Rights", "Representations and Warranties"], "Values": ["Vendor", "street level route information for the State\u2019s fiber optic network data points and paths with the State\u2019s support team in discussions regarding the State\u2019s fiber project", "Unknown", "to have the State disclose to Vendor certain specifications, designs, plans, drawings or other business and/or technical information which is proprietary, restricted or secret, and confidential to the State", "with a need to know (and advise such employees of the obligations assumed herein)", "shall not disclose such CONFIDENTIAL INFORMATION to any third party without prior written approval of the State", "independently developed by Vendor or is lawfully received free of restriction from another source having the right to so furnish such CONFIDENTIAL INFORMATION; after it has become generally available to the public without breach of this Agreement by Vendor; which, at the time of disclosure to Vendor, was known to Vendor to be free of restriction; or which the State agrees in writing is free of such restrictions", "No license under any trademark, patent, copyright, mask work protection right or any other intellectual property right is either granted or implied by conveying CONFIDENTIAL INFORMATION to Vendor", "None of the CONFIDENTIAL INFORMATION which may be disclosed by the State shall constitute any representation, warranty, assurance, guarantee or inducement by the State of any kind, and, in particular, with respect to the non<unk> infringement of trademarks, patents, copyrights"]} | {"Parameters": ["Receiving Party", "Confidential Information", "Agreement Date", "Purpose of Information Disclosure", "Employee Obligations", "Third Party Disclosure", "Exceptions to Disclosure Restrictions", "Intellectual Property Rights", "Representations and Warranties"], "Values": ["Vendor", "street level route information for the State\u2019s fiber optic network data points and paths with the State\u2019s support team in discussions regarding the State\u2019s fiber project", "Unknown", "to have the State disclose to Vendor certain specifications, designs, plans, drawings or other business and/or technical information which is proprietary, restricted or secret, and confidential to the State", "with a need to know (and advise such employees of the obligations assumed herein)", "shall not disclose such CONFIDENTIAL INFORMATION to any third party without prior written approval of the State", "independently developed by Vendor or is lawfully received free of restriction from another source having the right to so furnish such CONFIDENTIAL INFORMATION; after it has become generally available to the public without breach of this Agreement by Vendor; which, at the time of disclosure to Vendor, was known to Vendor to be free of restriction; or which the State agrees in writing is free of such restrictions", "No license under any trademark, patent, copyright, mask work protection right or any other intellectual property right is either granted or implied by conveying CONFIDENTIAL INFORMATION to Vendor", "None of the CONFIDENTIAL INFORMATION which may be disclosed by the State shall constitute any representation, warranty, assurance, guarantee or inducement by the State of any kind, and, in particular, with respect to the non<unk> infringement of trademarks, patents, copyrights"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Receiving Party, Confidential Information, Agreement Date, Purpose of Information Disclosure, Employee Obligations, Third Party Disclosure, Exceptions to Disclosure Restrictions, Intellectual Property Rights, Representations and Warranties.
This is the Text: Premise: NETWORK CONFIDENTIAL INFORMATION NON DISCLOSURE AGREEMENT THIS AGREEMENT is made and entered into effective,, by and between, the State of Illinois, (the “State"), and (“Vendor”) for itself and its affiliated companies. WHEREAS, both parties, for their mutual benefit, desire to have the State disclose to Vendor certain specifications, designs, plans, drawings or other business and/or technical information which is proprietary, restricted or secret, and confidential to the State (“CONFIDENTIAL INFORMATION"). NOW, THEREFORE, the State and Vendor agree as follows: 1. Vendor shall use such CONFIDENTIAL INFORMATION only for the purpose of discussing street level route information for the State’s fiber optic network data points and paths with the State’s support team in discussions regarding the State’s fiber project. Vendor shall restrict disclosure of such CONFIDENTIAL INFORMATION to its employees with a need to know (and advise such employees of the obligations assumed herein), and shall not disclose such CONFIDENTIAL INFORMATION to any third party without prior written approval of the State. These restrictions on the use or disclosure of CONFIDENTIAL INFORMATION shall not apply to any CONFIDENTIAL INFORMATION: i. which is independently developed by Vendor or is lawfully received free of restriction from another source having the right to so furnish such CONFIDENTIAL INFORMATION; ii. after it has become generally available to the public without breach of this Agreement by Vendor; iii. which, at the time of disclosure to Vendor, was known to Vendor to be free of restriction; or iv. which the State agrees in writing is free of such restrictions. 2. No license under any trademark, patent, copyright, mask work protection right or any other intellectual property right is either granted or implied by conveying CONFIDENTIAL INFORMATION to Vendor. None of the CONFIDENTIAL INFORMATION which may be disclosed by the State shall constitute any representation, warranty, assurance, guarantee or inducement by the State of any kind, and, in particular, with respect to the non<unk> infringement of trademarks, patents, copyrights,
Hypothesis: Receiving Party may independently develop information similar to Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Type, Effective Date, Disclosing Party, Receiving Party, Confidential Information, Transaction, Retention of Confidential Information.
This is the Text: Premise: Exhibit (d)(2) NON-DISCLOSURE AGREEMENT This AGREEMENT is effective as of January 12, 2015 (“Effective Date”) by and between Pitney Bowes Inc., a company having a place of business at 3001 Summer Street, Stamford, CT 06905 (together with its subsidiaries and other affiliates, “PBI”), and Borderfree, Inc., a company having a place of business at 292 Madison Avenue, 5th Floor, New York, NY 10017 (together with its subsidiaries and affiliates “Borderfree”). The parties hereto agree as follows: 1. PBI and Borderfree each have an interest in exploring a possible negotiated business transaction (the “Transaction”) relating to the potential acquisition of Borderfree (the “Business”). To explore the Transaction, it may be necessary for each party to disclose certain Confidential Information to the other party. “Confidential Information” shall mean any information disclosed or provided to one party (the “Receiving Party”) on or after the Effective Date by or on behalf of the other party (the “Disclosing Party”), which the Disclosing Party has not released publicly and which the Disclosing Party considers confidential and/or in which the Disclosing Party has a proprietary interest. Confidential Information includes, without limitation, information, know-how, specifications, materials, models, plans, discoveries, trade secrets (as such term is defined in the Uniform Trade Secrets Act in effect on the Effective Date), records, data, business, marketing, manufacturing and financial records, operations and strategies, invention plans, distribution channels, and technical and product information, customer data, product services, information of the Disclosing Party’s subsidiaries and entities under its control and other communications concerning the Transaction and/or the Disclosing Party’s business and operations, together with all portions of analyses, compilations, notes, studies and other documents prepared by or for the benefit of the Receiving Party which contain or otherwise reflect any of the foregoing. The term Confidential Information also includes, without limitation: (a
Hypothesis: Receiving Party may retain some Confidential Information even after the return or destruction of Confidential Information..
### Response: {"Parameters": ["Agreement Type", "Effective Date", "Disclosing Party", "Receiving Party", "Confidential Information", "Transaction", "Retention of Confidential Information"], "Values": ["NON-DISCLOSURE AGREEMENT", "January 12, 2015", "Pitney Bowes Inc.", "Borderfree, Inc.", "any information disclosed or provided to one party on or after the Effective Date by or on behalf of the other party, which the Disclosing Party has not released publicly and which the Disclosing Party considers confidential and/or in which the Disclosing Party has a proprietary interest.", "the potential acquisition of Borderfree", "Receiving Party may retain some Confidential Information even after the return or destruction of Confidential Information."]} | {"Parameters": ["Agreement Type", "Effective Date", "Disclosing Party", "Receiving Party", "Confidential Information", "Transaction", "Retention of Confidential Information"], "Values": ["NON-DISCLOSURE AGREEMENT", "January 12, 2015", "Pitney Bowes Inc.", "Borderfree, Inc.", "any information disclosed or provided to one party on or after the Effective Date by or on behalf of the other party, which the Disclosing Party has not released publicly and which the Disclosing Party considers confidential and/or in which the Disclosing Party has a proprietary interest.", "the potential acquisition of Borderfree", "Receiving Party may retain some Confidential Information even after the return or destruction of Confidential Information."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Type, Effective Date, Disclosing Party, Receiving Party, Confidential Information, Transaction, Retention of Confidential Information.
This is the Text: Premise: Exhibit (d)(2) NON-DISCLOSURE AGREEMENT This AGREEMENT is effective as of January 12, 2015 (“Effective Date”) by and between Pitney Bowes Inc., a company having a place of business at 3001 Summer Street, Stamford, CT 06905 (together with its subsidiaries and other affiliates, “PBI”), and Borderfree, Inc., a company having a place of business at 292 Madison Avenue, 5th Floor, New York, NY 10017 (together with its subsidiaries and affiliates “Borderfree”). The parties hereto agree as follows: 1. PBI and Borderfree each have an interest in exploring a possible negotiated business transaction (the “Transaction”) relating to the potential acquisition of Borderfree (the “Business”). To explore the Transaction, it may be necessary for each party to disclose certain Confidential Information to the other party. “Confidential Information” shall mean any information disclosed or provided to one party (the “Receiving Party”) on or after the Effective Date by or on behalf of the other party (the “Disclosing Party”), which the Disclosing Party has not released publicly and which the Disclosing Party considers confidential and/or in which the Disclosing Party has a proprietary interest. Confidential Information includes, without limitation, information, know-how, specifications, materials, models, plans, discoveries, trade secrets (as such term is defined in the Uniform Trade Secrets Act in effect on the Effective Date), records, data, business, marketing, manufacturing and financial records, operations and strategies, invention plans, distribution channels, and technical and product information, customer data, product services, information of the Disclosing Party’s subsidiaries and entities under its control and other communications concerning the Transaction and/or the Disclosing Party’s business and operations, together with all portions of analyses, compilations, notes, studies and other documents prepared by or for the benefit of the Receiving Party which contain or otherwise reflect any of the foregoing. The term Confidential Information also includes, without limitation: (a
Hypothesis: Receiving Party may retain some Confidential Information even after the return or destruction of Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Name, Title, Address, Phone, Fax, Email, Date, Recipient, Subject.
This is the Text: Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
----- Forwarded by Sara Shackleton/HOU/ECT on 02/13/2001 01:16 PM -----
Sara Shackleton
01/11/2001 05:34 PM
To: Tanya Rohauer/HOU/ECT
cc:
Subject: First Union National Bank ("FUNB") ISDA's with ENA and Enron Corp.
Tanya:
I know you're swamped so I'll try to make this easy and you can answer "yes"
or "no", etc.
1. Is First Union National Bank the correct name? (as opposed to First
Union National Bank, Charlotte)
2. Threshold for cross default: We used $100,000,000 for ENE and
$50,000,000 for FUNB. FUNB wants $100,000,000.
3. Documents to be delivered: FUNB will produce audited/consolidated
financials for First Union Corporation. We requested FUNB financials.
4. With respect to the ENA master only (the CSA):
(i) FUNB wants to post 10-year government bonds in addition to cash and
L'C's
(ii) I sent you the FUNB matrix Is it acceptable?
(iii) FUNB wants to revise the MAC trigger to include "Baa3 by Moody's" and
"failure to have a Credit Rating from either S&P or Moody's".
(iv) FUNB wants to revise the definition of "Qualified Institution" to
include not only the rating we assign, but also "having assets in excess of
$10 billion" and also not subject to approval by the non-downgraded party
(v) FUNB wants all demands for delivery or return of collateral to be made
on a Valuation Date. I think we should retain language that demands can be
made on or after a Valuation Date. But I think we could agree that demands
be made prior to 5 pm New York time.
5. With respect to the ENA master only (the Enron Corp. guaranty in favor of
First Union National Bank):
(i) FUNB wants a $30,000,000 cap (as opposed to the $15,000,000 cap we
proposed)
Two different FUNB people keep calling me, one on the ENA front and the other
with respect to ENE. Now you know why your assistance is always greatly
appreciated.
Sara
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com.
### Response: {"Parameters": ["Name", "Title", "Address", "Phone", "Fax", "Email", "Date", "Recipient", "Subject"], "Values": ["Sara Shackleton", "unknown", "Enron North America Corp. 1400 Smith Street, EB 3801a Houston, Texas 77002", "713-853-5620", "713-646-3490", "sara.shackleton@enron.com", "02/13/2001", "Tanya Rohauer/HOU/ECT", "First Union National Bank (\"FUNB\") ISDA's with ENA and Enron Corp."]} | {"Parameters": ["Name", "Title", "Address", "Phone", "Fax", "Email", "Date", "Recipient", "Subject"], "Values": ["Sara Shackleton", "unknown", "Enron North America Corp. 1400 Smith Street, EB 3801a Houston, Texas 77002", "713-853-5620", "713-646-3490", "sara.shackleton@enron.com", "02/13/2001", "Tanya Rohauer/HOU/ECT", "First Union National Bank (\"FUNB\") ISDA's with ENA and Enron Corp."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Name, Title, Address, Phone, Fax, Email, Date, Recipient, Subject.
This is the Text: Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
----- Forwarded by Sara Shackleton/HOU/ECT on 02/13/2001 01:16 PM -----
Sara Shackleton
01/11/2001 05:34 PM
To: Tanya Rohauer/HOU/ECT
cc:
Subject: First Union National Bank ("FUNB") ISDA's with ENA and Enron Corp.
Tanya:
I know you're swamped so I'll try to make this easy and you can answer "yes"
or "no", etc.
1. Is First Union National Bank the correct name? (as opposed to First
Union National Bank, Charlotte)
2. Threshold for cross default: We used $100,000,000 for ENE and
$50,000,000 for FUNB. FUNB wants $100,000,000.
3. Documents to be delivered: FUNB will produce audited/consolidated
financials for First Union Corporation. We requested FUNB financials.
4. With respect to the ENA master only (the CSA):
(i) FUNB wants to post 10-year government bonds in addition to cash and
L'C's
(ii) I sent you the FUNB matrix Is it acceptable?
(iii) FUNB wants to revise the MAC trigger to include "Baa3 by Moody's" and
"failure to have a Credit Rating from either S&P or Moody's".
(iv) FUNB wants to revise the definition of "Qualified Institution" to
include not only the rating we assign, but also "having assets in excess of
$10 billion" and also not subject to approval by the non-downgraded party
(v) FUNB wants all demands for delivery or return of collateral to be made
on a Valuation Date. I think we should retain language that demands can be
made on or after a Valuation Date. But I think we could agree that demands
be made prior to 5 pm New York time.
5. With respect to the ENA master only (the Enron Corp. guaranty in favor of
First Union National Bank):
(i) FUNB wants a $30,000,000 cap (as opposed to the $15,000,000 cap we
proposed)
Two different FUNB people keep calling me, one on the ENA front and the other
with respect to ENE. Now you know why your assistance is always greatly
appreciated.
Sara
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_worth, client, invoice_date, item_2_qty, FL 60166, total_gross_worth, item_1_gross_worth.
This is the Text: ice_no 46775557 invoice_date 04/05/2019 seller Roberts Smith and Rogers 8415 Suarez Rapids Hicksfort FL 60166 client Rose Ltd PSC 3715 Box 5395 APO AE 90242 seller_tax_id 908-71-4639 client_tax_id 972-82-7727 iban GB30LTFL22480789312543 item_1_desc Boden Wren Ponte Midi Dress w/Color Block Hem NWT Size 10P Black Pink 10 Petite item_1_qty 1 item_1_net_price CHF58.99 item_1_net_worth CHF58.99 item_1_vat 10% item_1_gross_worth CHF64.89 item_2_desc Women Black Dress Mori Girl Puff Sleeve Korean Casual Loose Peter Pan Collar item_2_qty 1 item_2_net_price CHF13.99 item_2_net_worth CHF13.99 item_2_vat 10% item_2_gross_worth CHF15.39 total_net_worth CHF72.98 total_vat CHF7.30 total_gross_worth CHF80.28.
### Response: {'Parameters': ['item_1_net_worth', 'client', 'invoice_date', 'item_2_qty', 'total_gross_worth', 'item_1_gross_worth'], 'Values': ['CHF58.99', 'Rose Ltd PSC 3715', '04/05/2019', '1', 'CHF80.28', 'CHF64.89']} | {'Parameters': ['item_1_net_worth', 'client', 'invoice_date', 'item_2_qty', 'total_gross_worth', 'item_1_gross_worth'], 'Values': ['CHF58.99', 'Rose Ltd PSC 3715', '04/05/2019', '1', 'CHF80.28', 'CHF64.89']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_worth, client, invoice_date, item_2_qty, FL 60166, total_gross_worth, item_1_gross_worth.
This is the Text: ice_no 46775557 invoice_date 04/05/2019 seller Roberts Smith and Rogers 8415 Suarez Rapids Hicksfort FL 60166 client Rose Ltd PSC 3715 Box 5395 APO AE 90242 seller_tax_id 908-71-4639 client_tax_id 972-82-7727 iban GB30LTFL22480789312543 item_1_desc Boden Wren Ponte Midi Dress w/Color Block Hem NWT Size 10P Black Pink 10 Petite item_1_qty 1 item_1_net_price CHF58.99 item_1_net_worth CHF58.99 item_1_vat 10% item_1_gross_worth CHF64.89 item_2_desc Women Black Dress Mori Girl Puff Sleeve Korean Casual Loose Peter Pan Collar item_2_qty 1 item_2_net_price CHF13.99 item_2_net_worth CHF13.99 item_2_vat 10% item_2_gross_worth CHF15.39 total_net_worth CHF72.98 total_vat CHF7.30 total_gross_worth CHF80.28. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Subject, Attached Files, Office Phone, Cell Phone, Date, Recipient 1, Recipient 2, Recipient 3.
This is the Text: ---------------------- Forwarded by Mike Carson/Corp/Enron on 08/17/2000
12:37 PM ---------------------------
Terri Clynes@ECT
06/07/2000 04:50 PM
To: Matt Lorenz/HOU/ECT@ECT, Mike Carson/Corp/Enron@Enron
cc:
Subject: MidWest Picnic
Matt and Mike,
Here is the annual Comed picnic that you have heard so much about. You both
should try to go.
Terri
---------------------- Forwarded by Terri Clynes/HOU/ECT on 06/07/2000 04:48
PM ---------------------------
SFletcher@edisonmission.com on 06/07/2000 03:31:30 PM
To: pabbadini@cilco.com, Tim.Alford@gen.pge.com, aliceaa@pjm.com,
jallen@sgi.net, samiot@utilicorp.com, MCABengals@aol.com,
John.A.Baldwin@ucm.com, Ann.W.Bartosz@ucm.com, bergaminic@merchantenergy.com,
Kevin.R.Berglund@ucm.com, terrie_tucker_besnier@vapower.com,
tom.bixby@nypa.gov, timb@acespower.com, Richard.Bordeleau@gen.pge.com,
Ben.Borgen@gen.pge.com, jboring@powersrc.com, ktbrady@aep.com,
Thomas.R.Brumm@nspco.com, rick.byrne@worldnet.com, ghc@maininc.org,
Tamara.Carter@gen.pge.com, stevecastleberg@alliant-energy.com,
Richard.Chausse@gen.pge.com, wchin@coral-energy.com, Terri
Clynes/HOU/ECT@ECT, K.Coghlan@Rainbowenergy.com, connj@epenergy.com,
jcox@powersrc.com, jldaniels@midamerican.com,
Richard_Davidson@FirstEnergyCorp.com, Larry_Dent@FirstEnergyCorp.com,
mderouch@pwrteam.com, EdwinD@CitizensPower.com, tdreher@coral-energy.com,
wc.dunn@lgeenergy.com, rcedwards@midamerican.com, mellis@sempratrading.com,
David.Ellsworth@gen.pge.com, rfahey@edisonmission.com, sfoote@iso-ne.com,
fortier.regent@hydro.qc.ca, cgholson@surfnetinc.com, goodmand@kochind.com,
hallmark_harvey@wes.twc.com, khelmic@gsbalum.uchicago.com,
skinutt@worldnet.att.net, JHopf@AmerenEnergy.com,
Yvette_M_Houlihan@reliantenergy.com, gary.huskey@cplc.com,
William.R.Imrie@ucm.com, rjabo@excite.com, pollack@nconnect.net,
tony.jankowski@wepco.com, RJenkins@AmerenEnergy.com, Kerry.W.Koch@ucm.com,
lkoester@midamerican.com, limonej@merchantenergy.com, rlindro@entergy.com,
William.Locasto@ucm.com, klogan@mge.com, casper@pwrteam.com,
mmmamula@nipsco.com, Matt.Manley@gen.pge.com, rmarko@cinergy.com,
smcminn@alleghenypower.com, Chris_M_Mcnally@reliantenergy.com,
dkmedsker@nipsco.com, George.E.Meyer@ucm.com, murray@ms.com,
robert_nelson@illinova.com, lnendza@pwrteam.com, newcomerd@detroitedison.com,
doakland@duke-energy.com, jorlando@coral-energy.com, Ellen.L.Oswald@ucm.com,
Julie.Palin@ucm.com, David.Pierce@gen.pge.com, keithp@acespower.com,
riggc@detroitedison.com, mritchey@coral-energy.com, Joel.Rubano@gen.pge.com,
MaryJane.Ryan@ucm.com, ksadler@statoilenergy.com, besamblanet@aep.com,
Jacqueline.I.Sarlo@ucm.com, Robert.Scorrano@gen.pge.com,
ASerri@AmerenEnergy.com, dshartze@cinergy.com, Mark.Sheppard@gen.pge.com,
wsimpson@tnsk.com, jmsmith@southernco.com, jsmith@TEAINC.org,
Peter.J.Snarskis@ucm.com, Frank.P.Squires@aep.com, Robert.A.Staton@nspco.com,
Mark.Sudbey@orionpower.com, adam.r.swanson@fpc.com, jthomas@powersrc.com,
jtignor@amp-ohio.org, skinutt@att.net, vtriska@cinergy.com,
Benoit.Vallieres@gen.pge.com, KWidas@Wisvest.com, Lisa.Wildes@gen.pge.com,
jwillman@amp-ohio.org
cc: "Scheduling" <Scheduling@edisonmission.com>, CTran@edisonmission.com
Subject: MidWest Picnic
(See attached file: Picnic1.ppt) (See attached file: picnic opening.doc)
(See
attached file: picnic directions1.doc)
Edison Mission Marketing and Trading
Office Phone: (949) 798-7455
Cell Phone: (714) 337-9474
- Picnic1.ppt
- picnic opening.doc
- picnic directions1.doc.
### Response: {"Parameters": ["Subject", "Attached Files", "Office Phone", "Cell Phone", "Date", "Recipient 1", "Recipient 2", "Recipient 3"], "Values": ["MidWest Picnic", "Picnic1.ppt, picnic opening.doc, picnic directions1.doc", "(949) 798-7455", "(714) 337-9474", "06/07/2000 04:50 PM", "Terri Clynes/HOU/ECT@ECT", "pabbadini@cilco.com", "Tim.Alford@gen.pge.com"]} | {"Parameters": ["Subject", "Attached Files", "Office Phone", "Cell Phone", "Date", "Recipient 1", "Recipient 2", "Recipient 3"], "Values": ["MidWest Picnic", "Picnic1.ppt, picnic opening.doc, picnic directions1.doc", "(949) 798-7455", "(714) 337-9474", "06/07/2000 04:50 PM", "Terri Clynes/HOU/ECT@ECT", "pabbadini@cilco.com", "Tim.Alford@gen.pge.com"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Subject, Attached Files, Office Phone, Cell Phone, Date, Recipient 1, Recipient 2, Recipient 3.
This is the Text: ---------------------- Forwarded by Mike Carson/Corp/Enron on 08/17/2000
12:37 PM ---------------------------
Terri Clynes@ECT
06/07/2000 04:50 PM
To: Matt Lorenz/HOU/ECT@ECT, Mike Carson/Corp/Enron@Enron
cc:
Subject: MidWest Picnic
Matt and Mike,
Here is the annual Comed picnic that you have heard so much about. You both
should try to go.
Terri
---------------------- Forwarded by Terri Clynes/HOU/ECT on 06/07/2000 04:48
PM ---------------------------
SFletcher@edisonmission.com on 06/07/2000 03:31:30 PM
To: pabbadini@cilco.com, Tim.Alford@gen.pge.com, aliceaa@pjm.com,
jallen@sgi.net, samiot@utilicorp.com, MCABengals@aol.com,
John.A.Baldwin@ucm.com, Ann.W.Bartosz@ucm.com, bergaminic@merchantenergy.com,
Kevin.R.Berglund@ucm.com, terrie_tucker_besnier@vapower.com,
tom.bixby@nypa.gov, timb@acespower.com, Richard.Bordeleau@gen.pge.com,
Ben.Borgen@gen.pge.com, jboring@powersrc.com, ktbrady@aep.com,
Thomas.R.Brumm@nspco.com, rick.byrne@worldnet.com, ghc@maininc.org,
Tamara.Carter@gen.pge.com, stevecastleberg@alliant-energy.com,
Richard.Chausse@gen.pge.com, wchin@coral-energy.com, Terri
Clynes/HOU/ECT@ECT, K.Coghlan@Rainbowenergy.com, connj@epenergy.com,
jcox@powersrc.com, jldaniels@midamerican.com,
Richard_Davidson@FirstEnergyCorp.com, Larry_Dent@FirstEnergyCorp.com,
mderouch@pwrteam.com, EdwinD@CitizensPower.com, tdreher@coral-energy.com,
wc.dunn@lgeenergy.com, rcedwards@midamerican.com, mellis@sempratrading.com,
David.Ellsworth@gen.pge.com, rfahey@edisonmission.com, sfoote@iso-ne.com,
fortier.regent@hydro.qc.ca, cgholson@surfnetinc.com, goodmand@kochind.com,
hallmark_harvey@wes.twc.com, khelmic@gsbalum.uchicago.com,
skinutt@worldnet.att.net, JHopf@AmerenEnergy.com,
Yvette_M_Houlihan@reliantenergy.com, gary.huskey@cplc.com,
William.R.Imrie@ucm.com, rjabo@excite.com, pollack@nconnect.net,
tony.jankowski@wepco.com, RJenkins@AmerenEnergy.com, Kerry.W.Koch@ucm.com,
lkoester@midamerican.com, limonej@merchantenergy.com, rlindro@entergy.com,
William.Locasto@ucm.com, klogan@mge.com, casper@pwrteam.com,
mmmamula@nipsco.com, Matt.Manley@gen.pge.com, rmarko@cinergy.com,
smcminn@alleghenypower.com, Chris_M_Mcnally@reliantenergy.com,
dkmedsker@nipsco.com, George.E.Meyer@ucm.com, murray@ms.com,
robert_nelson@illinova.com, lnendza@pwrteam.com, newcomerd@detroitedison.com,
doakland@duke-energy.com, jorlando@coral-energy.com, Ellen.L.Oswald@ucm.com,
Julie.Palin@ucm.com, David.Pierce@gen.pge.com, keithp@acespower.com,
riggc@detroitedison.com, mritchey@coral-energy.com, Joel.Rubano@gen.pge.com,
MaryJane.Ryan@ucm.com, ksadler@statoilenergy.com, besamblanet@aep.com,
Jacqueline.I.Sarlo@ucm.com, Robert.Scorrano@gen.pge.com,
ASerri@AmerenEnergy.com, dshartze@cinergy.com, Mark.Sheppard@gen.pge.com,
wsimpson@tnsk.com, jmsmith@southernco.com, jsmith@TEAINC.org,
Peter.J.Snarskis@ucm.com, Frank.P.Squires@aep.com, Robert.A.Staton@nspco.com,
Mark.Sudbey@orionpower.com, adam.r.swanson@fpc.com, jthomas@powersrc.com,
jtignor@amp-ohio.org, skinutt@att.net, vtriska@cinergy.com,
Benoit.Vallieres@gen.pge.com, KWidas@Wisvest.com, Lisa.Wildes@gen.pge.com,
jwillman@amp-ohio.org
cc: "Scheduling" <Scheduling@edisonmission.com>, CTran@edisonmission.com
Subject: MidWest Picnic
(See attached file: Picnic1.ppt) (See attached file: picnic opening.doc)
(See
attached file: picnic directions1.doc)
Edison Mission Marketing and Trading
Office Phone: (949) 798-7455
Cell Phone: (714) 337-9474
- Picnic1.ppt
- picnic opening.doc
- picnic directions1.doc. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Date, Disclosing Party, Receiving Party, Purpose of Agreement, Term of Agreement, Use of Confidential Information, Exclusion of Chugai Pharmaceutical Co. Ltd, Confidentiality Protection, Possible Transaction between Parties.
This is the Text: Premise: Exhibit 99.(d)(2) MUTUAL NON-DISCLOSURE AGREEMENT THIS MUTUAL NON-DISCLOSURE AGREEMENT (this “Agreement”), entered into as of October 9, 2018 (the “Effective Date”), governs the disclosure of information by and between Spark Therapeutics, Inc., a Delaware corporation, having an address at 3737 Market Street, Suite 1300, Philadelphia, PA (“Spark”), and Roche Holdings Inc, a Delaware company having an address at 1 DNA Way, South San Francisco, CA 94080 (“Company”). For purposes of this Agreement, references to each of Spark and Company, and corresponding references to disclosing party and receiving party herein, shall include the respective subsidiaries and other entities controlled, directly or indirectly by Spark or Company, as the case may be; provided, however, with respect to Company, the foregoing provision shall exclude Chugai Pharmaceutical Co., Ltd, 1-1 Nihonbashi-Muromachi 2-chome, Chuo-ku, Tokyo, 103-8324 (“Chugai”) unless the Company opts for such inclusion of Chugai and their respective subsidiaries by giving written notice to the Company. 1. Purpose. This Agreement is made in order for each party to disclose to the other, during the term of this Agreement, such scientific, technical, business and financial information as the disclosing party may elect to disclose so that the receiving party may use the same solely for the purpose of evaluating the Confidential Information internally in connection with evaluating a possible transaction between the parties relating to one, more or all of Spark’s gene therapy product candidates and/or assets (the “Purpose”) under terms that will protect the confidential and proprietary nature of such information. 2. Confidential Information. As used herein, “Confidential Information” will mean any and all scientific, technical, business and financial information, including third party information, that is furnished or disclosed, in whatever form or medium (regardless of whether tangible, intangible, visual, or oral), to the receiving party,
Hypothesis: Receiving Party shall not use any Confidential Information for any purpose other than the purposes stated in Agreement..
### Response: {"Parameters": ["Agreement Date", "Disclosing Party", "Receiving Party", "Purpose of Agreement", "Term of Agreement", "Use of Confidential Information", "Exclusion of Chugai Pharmaceutical Co. Ltd", "Confidentiality Protection", "Possible Transaction between Parties"], "Values": ["October 9, 2018", "Spark Therapeutics, Inc.", "Roche Holdings Inc", "Disclosure of information between parties for evaluation purposes", "During the term of the Agreement", "Solely for the evaluation purpose of a possible transaction between parties", "Unless the Company opts for inclusion with written notice, Chugai Pharmaceutical Co., Ltd is excluded", "Protection of confidential and proprietary information", "Related to one, more or all of Spark\u2019s gene therapy product candidates and/or assets"]} | {"Parameters": ["Agreement Date", "Disclosing Party", "Receiving Party", "Purpose of Agreement", "Term of Agreement", "Use of Confidential Information", "Exclusion of Chugai Pharmaceutical Co. Ltd", "Confidentiality Protection", "Possible Transaction between Parties"], "Values": ["October 9, 2018", "Spark Therapeutics, Inc.", "Roche Holdings Inc", "Disclosure of information between parties for evaluation purposes", "During the term of the Agreement", "Solely for the evaluation purpose of a possible transaction between parties", "Unless the Company opts for inclusion with written notice, Chugai Pharmaceutical Co., Ltd is excluded", "Protection of confidential and proprietary information", "Related to one, more or all of Spark\u2019s gene therapy product candidates and/or assets"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Date, Disclosing Party, Receiving Party, Purpose of Agreement, Term of Agreement, Use of Confidential Information, Exclusion of Chugai Pharmaceutical Co. Ltd, Confidentiality Protection, Possible Transaction between Parties.
This is the Text: Premise: Exhibit 99.(d)(2) MUTUAL NON-DISCLOSURE AGREEMENT THIS MUTUAL NON-DISCLOSURE AGREEMENT (this “Agreement”), entered into as of October 9, 2018 (the “Effective Date”), governs the disclosure of information by and between Spark Therapeutics, Inc., a Delaware corporation, having an address at 3737 Market Street, Suite 1300, Philadelphia, PA (“Spark”), and Roche Holdings Inc, a Delaware company having an address at 1 DNA Way, South San Francisco, CA 94080 (“Company”). For purposes of this Agreement, references to each of Spark and Company, and corresponding references to disclosing party and receiving party herein, shall include the respective subsidiaries and other entities controlled, directly or indirectly by Spark or Company, as the case may be; provided, however, with respect to Company, the foregoing provision shall exclude Chugai Pharmaceutical Co., Ltd, 1-1 Nihonbashi-Muromachi 2-chome, Chuo-ku, Tokyo, 103-8324 (“Chugai”) unless the Company opts for such inclusion of Chugai and their respective subsidiaries by giving written notice to the Company. 1. Purpose. This Agreement is made in order for each party to disclose to the other, during the term of this Agreement, such scientific, technical, business and financial information as the disclosing party may elect to disclose so that the receiving party may use the same solely for the purpose of evaluating the Confidential Information internally in connection with evaluating a possible transaction between the parties relating to one, more or all of Spark’s gene therapy product candidates and/or assets (the “Purpose”) under terms that will protect the confidential and proprietary nature of such information. 2. Confidential Information. As used herein, “Confidential Information” will mean any and all scientific, technical, business and financial information, including third party information, that is furnished or disclosed, in whatever form or medium (regardless of whether tangible, intangible, visual, or oral), to the receiving party,
Hypothesis: Receiving Party shall not use any Confidential Information for any purpose other than the purposes stated in Agreement.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Disclosing Party, Receiving Party, Purpose of Discussions, Confidential Information, Precautions, Limitations.
This is the Text: Premise: MUTUAL NON-DISCLOSURE AGREEMENT This Mutual Non-Disclosure Agreement is entered into this _____ day of, 20___, by and between TSE Industries, Inc., a Florida Corporation, together with its affiliated companies, TSE-OK, LLC and WHK BioSystems, LLC (collectively “TSE”), having its principal place of business at 5180 113th Avenue North, Clearwater, FL 33760 USA, and ______________________________________________________ (“Company”) having its principal place of business at ___________________________________________________________. The parties wish to discuss a possible commercial agreement between both companies including, but not limited to ___________________________________________________________________ (the “Discussions”), which Discussions will involve the exchange of knowledge, information and know-how owned by each other. THE PARTIES AGREE AS FOLLOWS: 1. Disclosure of Confidential Information. During the course of the Discussions, the parties may, from time to time, disclose or provide to each other, in writing or otherwise, directly, or as a consequence of their business relationship, their own trade secrets, accumulated technical or business knowledge or proprietary information as well as information which either party is required to keep confidential by contractual obligations to third parties (hereafter "Confidential Information"). Subject to the limitations set forth in section Five (5) below, any information that the disclosing party discloses to the receiving party shall be treated as Confidential Information of the disclosing party. Each party shall disclose only that information which it believes necessary for the other's consideration. 2. Purpose of Disclosure. Each party shall utilize the Confidential Information disclosed by the other party only for the purpose of the Discussions and shall not divulge it to others or utilize it for commercial use or practice or for any other purpose whatsoever without the prior written consent of the disclosing party. 3. Precautions. The party to whom disclosure of the Confidential Information has been made (the “receiving party”) shall treat such information as confidential and shall exercise
Hypothesis: All Confidential Information shall be expressly identified by the Disclosing Party..
### Response: {"Parameters": ["Disclosing Party", "Receiving Party", "Purpose of Discussions", "Confidential Information", "Precautions", "Limitations"], "Values": ["TSE Industries, Inc. and its affiliated companies", "Company", "discussing a possible commercial agreement including exchange of knowledge and information", "trade secrets, technical or business knowledge, proprietary information required to keep confidential by contractual obligations", "treat information as confidential and exercise precautions", "limitations set forth in section Five (5)"]} | {"Parameters": ["Disclosing Party", "Receiving Party", "Purpose of Discussions", "Confidential Information", "Precautions", "Limitations"], "Values": ["TSE Industries, Inc. and its affiliated companies", "Company", "discussing a possible commercial agreement including exchange of knowledge and information", "trade secrets, technical or business knowledge, proprietary information required to keep confidential by contractual obligations", "treat information as confidential and exercise precautions", "limitations set forth in section Five (5)"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Disclosing Party, Receiving Party, Purpose of Discussions, Confidential Information, Precautions, Limitations.
This is the Text: Premise: MUTUAL NON-DISCLOSURE AGREEMENT This Mutual Non-Disclosure Agreement is entered into this _____ day of, 20___, by and between TSE Industries, Inc., a Florida Corporation, together with its affiliated companies, TSE-OK, LLC and WHK BioSystems, LLC (collectively “TSE”), having its principal place of business at 5180 113th Avenue North, Clearwater, FL 33760 USA, and ______________________________________________________ (“Company”) having its principal place of business at ___________________________________________________________. The parties wish to discuss a possible commercial agreement between both companies including, but not limited to ___________________________________________________________________ (the “Discussions”), which Discussions will involve the exchange of knowledge, information and know-how owned by each other. THE PARTIES AGREE AS FOLLOWS: 1. Disclosure of Confidential Information. During the course of the Discussions, the parties may, from time to time, disclose or provide to each other, in writing or otherwise, directly, or as a consequence of their business relationship, their own trade secrets, accumulated technical or business knowledge or proprietary information as well as information which either party is required to keep confidential by contractual obligations to third parties (hereafter "Confidential Information"). Subject to the limitations set forth in section Five (5) below, any information that the disclosing party discloses to the receiving party shall be treated as Confidential Information of the disclosing party. Each party shall disclose only that information which it believes necessary for the other's consideration. 2. Purpose of Disclosure. Each party shall utilize the Confidential Information disclosed by the other party only for the purpose of the Discussions and shall not divulge it to others or utilize it for commercial use or practice or for any other purpose whatsoever without the prior written consent of the disclosing party. 3. Precautions. The party to whom disclosure of the Confidential Information has been made (the “receiving party”) shall treat such information as confidential and shall exercise
Hypothesis: All Confidential Information shall be expressly identified by the Disclosing Party.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Date, Disclosing Party, Receiving Party, Possible Transaction, Seller, Representatives, Evaluation Material, Agreement, Solicitation, Disclosing Party's Representatives.
This is the Text: Premise: Exhibit (d)(2) December 7, 2012 JAB Beech Inc. 2200 Pennsylvania Avenue, NW Washington, DC 20052 Non-Disclosure Agreement Ladies and Gentlemen: In connection with a possible negotiated transaction (the “Possible Transaction”) with Caribou Coffee Company, Inc., a Minnesota corporation (the “Seller”), the Seller expects to make available to JAB Beech Inc. (“you” or, together with Seller, the “parties”) certain information concerning itself and its business, financial condition, operations, assets and liabilities. As a condition to such information being furnished to you, the stockholders of your ultimate parent, and your direct and indirect affiliates, directors, officers, employees, agents, advisors (including, without limitation, attorneys, accountants, consultants, bankers and financial advisors), BDT Capital Partners LLC and any other specific financing source that the Seller approves to be included as a Representative, such approval of the Seller not to be unreasonably withheld, conditioned or delayed (collectively, “Representatives”), you agree to treat any information concerning the Seller (whether prepared by the Seller, its Representatives or otherwise and irrespective of the form of communication) that is furnished hereunder to you or your Representatives now or in the future by or on behalf of the Seller (herein collectively referred to as the “Evaluation Material”) in accordance with, and subject to, the provisions of this letter agreement (this “Agreement”), and to take or abstain from taking certain other actions hereinafter set forth. 1. Evaluation Material. The term “Evaluation Material” shall include information (including historical financial information that has not been publicly disclosed) concerning Seller pertaining to legal and regulatory matters, customers, depositors, vendors, projections, forecasts or investments, and all records, notes, computer data, analyses, compilations, studies, reports, interpretations or other documents to the extent containing, in whole or in part, the information furnished to you or your Representatives by or on behalf of the Seller, provided, that the term “Evaluation Material” does not include information which (1) is or becomes generally
Hypothesis: Receiving Party shall not solicit some of Disclosing Party's representatives..
### Response: {"Parameters": ["Premise", "Date", "Disclosing Party", "Receiving Party", "Possible Transaction", "Seller", "Representatives", "Evaluation Material", "Agreement", "Solicitation", "Disclosing Party's Representatives"], "Values": ["Exhibit (d)(2)", "December 7, 2012", "Caribou Coffee Company, Inc.", "JAB Beech Inc.", "negotiated transaction", "Minnesota corporation", "stockholders of your ultimate parent, and your direct and indirect affiliates, directors, officers, employees, agents, advisors (including, without limitation, attorneys, accountants, consultants, bankers and financial advisors), BDT Capital Partners LLC and any other specific financing source", "information concerning itself and its business, financial condition, operations, assets and liabilities", "letter agreement", "take or abstain from taking certain other actions", "Representatives of Disclosing Party"]} | {"Parameters": ["Premise", "Date", "Disclosing Party", "Receiving Party", "Possible Transaction", "Seller", "Representatives", "Evaluation Material", "Agreement", "Solicitation", "Disclosing Party's Representatives"], "Values": ["Exhibit (d)(2)", "December 7, 2012", "Caribou Coffee Company, Inc.", "JAB Beech Inc.", "negotiated transaction", "Minnesota corporation", "stockholders of your ultimate parent, and your direct and indirect affiliates, directors, officers, employees, agents, advisors (including, without limitation, attorneys, accountants, consultants, bankers and financial advisors), BDT Capital Partners LLC and any other specific financing source", "information concerning itself and its business, financial condition, operations, assets and liabilities", "letter agreement", "take or abstain from taking certain other actions", "Representatives of Disclosing Party"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Date, Disclosing Party, Receiving Party, Possible Transaction, Seller, Representatives, Evaluation Material, Agreement, Solicitation, Disclosing Party's Representatives.
This is the Text: Premise: Exhibit (d)(2) December 7, 2012 JAB Beech Inc. 2200 Pennsylvania Avenue, NW Washington, DC 20052 Non-Disclosure Agreement Ladies and Gentlemen: In connection with a possible negotiated transaction (the “Possible Transaction”) with Caribou Coffee Company, Inc., a Minnesota corporation (the “Seller”), the Seller expects to make available to JAB Beech Inc. (“you” or, together with Seller, the “parties”) certain information concerning itself and its business, financial condition, operations, assets and liabilities. As a condition to such information being furnished to you, the stockholders of your ultimate parent, and your direct and indirect affiliates, directors, officers, employees, agents, advisors (including, without limitation, attorneys, accountants, consultants, bankers and financial advisors), BDT Capital Partners LLC and any other specific financing source that the Seller approves to be included as a Representative, such approval of the Seller not to be unreasonably withheld, conditioned or delayed (collectively, “Representatives”), you agree to treat any information concerning the Seller (whether prepared by the Seller, its Representatives or otherwise and irrespective of the form of communication) that is furnished hereunder to you or your Representatives now or in the future by or on behalf of the Seller (herein collectively referred to as the “Evaluation Material”) in accordance with, and subject to, the provisions of this letter agreement (this “Agreement”), and to take or abstain from taking certain other actions hereinafter set forth. 1. Evaluation Material. The term “Evaluation Material” shall include information (including historical financial information that has not been publicly disclosed) concerning Seller pertaining to legal and regulatory matters, customers, depositors, vendors, projections, forecasts or investments, and all records, notes, computer data, analyses, compilations, studies, reports, interpretations or other documents to the extent containing, in whole or in part, the information furnished to you or your Representatives by or on behalf of the Seller, provided, that the term “Evaluation Material” does not include information which (1) is or becomes generally
Hypothesis: Receiving Party shall not solicit some of Disclosing Party's representatives.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Confidential Information, Disclosing Party, Definition, Exclusions, Publicly known information, Termination, Destroy/Return.
This is the Text: Premise: NON-CIRCUMVENTION, NON-DISCLOSURE WORKING AGREEMENT This Non-Circumvention, Non-Disclosure Agreement (the “Agreement”) is entered into by and between We Rock The Spectrum Kid’s Gym, LLC (“WRTS”), 5520 Crebs Avenue, Tarzana, California 91356, USA (“Disclosing Party”) and _______________, located at _______________ (“Receiving Party”) for the purpose of preventing the unauthorized disclosure of Confidential Information as defined below. The parties agree to enter into a confidential relationship with respect to the disclosure of certain proprietary and confidential information (“Confidential Information”). The undersigned Parties agree in consideration of their mutual promises to abide by the following terms and conditions: 1. Definition of Confidential Information. For purposes of this Agreement, “Confidential Information” shall include all information or material that has or could have commercial value or other utility in the business in which Disclosing Party is engaged. Such information shall include, but not be limited to contracts, documents, files, printouts, websites, and other printed and digital information provided by the Disclosing party and also the names, telephone numbers, addresses, fax numbers, email addresses, etc. of the contact, parties, and/or source(s) provided by the Disclosing Party. The Parties acknowledge that the Confidential Information may be written, oral, graphic, pictorial, recorded, or stored and transmitted in digital form or any digital format; and such information is deemed valuable, special or unique assets of the Disclosing Party that were developed or obtained through investment of significant time, efforts and expense, and that access to such information would not be possible but for the relationship of the Parties hereunder. 2. Exclusions from Confidential Information. Receiving Party's obligations under this Agreement do not extend to information that is: (a) publicly known at the time of disclosure or subsequently becomes publicly known through no fault of the Receiving Party; (b) discovered or created by the Receiving Party before disclosure by Disclos
Hypothesis: Receiving Party shall destroy or return some Confidential Information upon the termination of Agreement..
### Response: {"Parameters": ["Confidential Information", "Disclosing Party", "Definition", "Exclusions", "Publicly known information", "Termination", "Destroy/Return"], "Values": ["All information or material that has or could have commercial value or other utility in the business in which Disclosing Party is engaged", "We Rock The Spectrum Kid\u2019s Gym, LLC ('WRTS'), 5520 Crebs Avenue, Tarzana, California 91356, USA", "'Confidential Information' shall include all information or material that has or could have commercial value", "Receiving Party's obligations under this Agreement do not extend to information that is publicly known at the time of disclosure", "Information that is publicly known at the time of disclosure or information that is created or discovered by the Receiving Party before disclosure; no fault of the Receiving Party", "Shall destroy or return some Confidential Information upon the termination of Agreement", "Destroy or Return some Confidential Information upon the termination of Agreement"]} | {"Parameters": ["Confidential Information", "Disclosing Party", "Definition", "Exclusions", "Publicly known information", "Termination", "Destroy/Return"], "Values": ["All information or material that has or could have commercial value or other utility in the business in which Disclosing Party is engaged", "We Rock The Spectrum Kid\u2019s Gym, LLC ('WRTS'), 5520 Crebs Avenue, Tarzana, California 91356, USA", "'Confidential Information' shall include all information or material that has or could have commercial value", "Receiving Party's obligations under this Agreement do not extend to information that is publicly known at the time of disclosure", "Information that is publicly known at the time of disclosure or information that is created or discovered by the Receiving Party before disclosure; no fault of the Receiving Party", "Shall destroy or return some Confidential Information upon the termination of Agreement", "Destroy or Return some Confidential Information upon the termination of Agreement"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Confidential Information, Disclosing Party, Definition, Exclusions, Publicly known information, Termination, Destroy/Return.
This is the Text: Premise: NON-CIRCUMVENTION, NON-DISCLOSURE WORKING AGREEMENT This Non-Circumvention, Non-Disclosure Agreement (the “Agreement”) is entered into by and between We Rock The Spectrum Kid’s Gym, LLC (“WRTS”), 5520 Crebs Avenue, Tarzana, California 91356, USA (“Disclosing Party”) and _______________, located at _______________ (“Receiving Party”) for the purpose of preventing the unauthorized disclosure of Confidential Information as defined below. The parties agree to enter into a confidential relationship with respect to the disclosure of certain proprietary and confidential information (“Confidential Information”). The undersigned Parties agree in consideration of their mutual promises to abide by the following terms and conditions: 1. Definition of Confidential Information. For purposes of this Agreement, “Confidential Information” shall include all information or material that has or could have commercial value or other utility in the business in which Disclosing Party is engaged. Such information shall include, but not be limited to contracts, documents, files, printouts, websites, and other printed and digital information provided by the Disclosing party and also the names, telephone numbers, addresses, fax numbers, email addresses, etc. of the contact, parties, and/or source(s) provided by the Disclosing Party. The Parties acknowledge that the Confidential Information may be written, oral, graphic, pictorial, recorded, or stored and transmitted in digital form or any digital format; and such information is deemed valuable, special or unique assets of the Disclosing Party that were developed or obtained through investment of significant time, efforts and expense, and that access to such information would not be possible but for the relationship of the Parties hereunder. 2. Exclusions from Confidential Information. Receiving Party's obligations under this Agreement do not extend to information that is: (a) publicly known at the time of disclosure or subsequently becomes publicly known through no fault of the Receiving Party; (b) discovered or created by the Receiving Party before disclosure by Disclos
Hypothesis: Receiving Party shall destroy or return some Confidential Information upon the termination of Agreement.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Person 1 Name, Person 1 Company, Person 2 Name, Person 2 Company, Person 3 Name, Person 3 Company, Industry 1, Industry 2, Industry 3, Industry 4, Resume Attachments.
This is the Text: Gary,
Below is some information that might be of assistance to you. I don't think
that I sent this to you when I got it. If I did please ignore this. D'Arcy
Carroll (works for us in S. America) came to us from Cargill and knows a lot
of people there. He has a couple of names that I have passed on internally
for consideration but I am sure they didn't go to the right place. On a
recent trip to Sao Paulo, many of the ag products came up in meetings as good
opportunities for Enron to go in and change that industry. Coffee, Orange
Juice, grains and sugar were brought up a lot.
D'Arcy may have traded an ag book for Cargill, I can't remember.
Anyway, I am passing this message and names on to you for consideration. A
phone call to D'Arcy might also be worth a few minutes of your time. He
knows a lot about Cargill and has an opinion on how to capture their markets.
Mike
---------------------- Forwarded by Mike McConnell/HOU/ECT on 07/12/2000
11:32 AM ---------------------------
D'Arcy Carroll@ENRON
06/09/2000 02:30 PM
To: Mike McConnell/HOU/ECT@ECT
cc: Steve Nagy/SA/Enron@Enron, Joe Kishkill/SA/Enron@Enron
Subject:
Mike, please find attatched 2 resumes, as mentioned.
1. Rob Tesar. Position: Enron Networks, Agricultural Markets. Rob Tesar is
American and has worked for 15 years at Cargill, the first 10 or so inside
the grains businesses where he managed the central hedging desk out of
headquarters. He is a class act; if he has any weakness it would be a
tendency to be too cautious. He is significantly underutilized in his
present position.
2. Detlev Hartman. Position: open. Detlev is German and was my boss at DG
BANK in Frankfurt, in the early stages of the development of the finanical
derivatives markets in Germany in the late 80's. His professional background
is diverse with a pretty consistent emphasis on finance. Detlev is one of
the brightest, intuitive minds I've ever worked with; he could contribute in
the MG initiative or in any number of trading, risk management oversight
positions. Somewhat volatile personality, but exciting to work with.
Daudi Lelijveld. Position: Enron Networks, MG or logistics. Daudi is a
dutchman with a broad background; he has run Cargill's UK metals business for
the last 5 years, or so. He is putting his resume together and I'll forward.
Paul Lichter and Mike Walden. Position: IT - I have forwarded information to
Jahn Pavetto..
### Response: {"Parameters": ["Person 1 Name", "Person 1 Company", "Person 2 Name", "Person 2 Company", "Person 3 Name", "Person 3 Company", "Industry 1", "Industry 2", "Industry 3", "Industry 4", "Resume Attachments"], "Values": ["D'Arcy Carroll", "ENRON", "Rob Tesar", "Cargill", "Detlev Hartman", "DG BANK", "Coffee", "Orange Juice", "Grains", "Sugar", "2 Resumes"]} | {"Parameters": ["Person 1 Name", "Person 1 Company", "Person 2 Name", "Person 2 Company", "Person 3 Name", "Person 3 Company", "Industry 1", "Industry 2", "Industry 3", "Industry 4", "Resume Attachments"], "Values": ["D'Arcy Carroll", "ENRON", "Rob Tesar", "Cargill", "Detlev Hartman", "DG BANK", "Coffee", "Orange Juice", "Grains", "Sugar", "2 Resumes"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Person 1 Name, Person 1 Company, Person 2 Name, Person 2 Company, Person 3 Name, Person 3 Company, Industry 1, Industry 2, Industry 3, Industry 4, Resume Attachments.
This is the Text: Gary,
Below is some information that might be of assistance to you. I don't think
that I sent this to you when I got it. If I did please ignore this. D'Arcy
Carroll (works for us in S. America) came to us from Cargill and knows a lot
of people there. He has a couple of names that I have passed on internally
for consideration but I am sure they didn't go to the right place. On a
recent trip to Sao Paulo, many of the ag products came up in meetings as good
opportunities for Enron to go in and change that industry. Coffee, Orange
Juice, grains and sugar were brought up a lot.
D'Arcy may have traded an ag book for Cargill, I can't remember.
Anyway, I am passing this message and names on to you for consideration. A
phone call to D'Arcy might also be worth a few minutes of your time. He
knows a lot about Cargill and has an opinion on how to capture their markets.
Mike
---------------------- Forwarded by Mike McConnell/HOU/ECT on 07/12/2000
11:32 AM ---------------------------
D'Arcy Carroll@ENRON
06/09/2000 02:30 PM
To: Mike McConnell/HOU/ECT@ECT
cc: Steve Nagy/SA/Enron@Enron, Joe Kishkill/SA/Enron@Enron
Subject:
Mike, please find attatched 2 resumes, as mentioned.
1. Rob Tesar. Position: Enron Networks, Agricultural Markets. Rob Tesar is
American and has worked for 15 years at Cargill, the first 10 or so inside
the grains businesses where he managed the central hedging desk out of
headquarters. He is a class act; if he has any weakness it would be a
tendency to be too cautious. He is significantly underutilized in his
present position.
2. Detlev Hartman. Position: open. Detlev is German and was my boss at DG
BANK in Frankfurt, in the early stages of the development of the finanical
derivatives markets in Germany in the late 80's. His professional background
is diverse with a pretty consistent emphasis on finance. Detlev is one of
the brightest, intuitive minds I've ever worked with; he could contribute in
the MG initiative or in any number of trading, risk management oversight
positions. Somewhat volatile personality, but exciting to work with.
Daudi Lelijveld. Position: Enron Networks, MG or logistics. Daudi is a
dutchman with a broad background; he has run Cargill's UK metals business for
the last 5 years, or so. He is putting his resume together and I'll forward.
Paul Lichter and Mike Walden. Position: IT - I have forwarded information to
Jahn Pavetto.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Sender, Date, Recipient, Subject, Trip Dates, Purpose of Trip, Celebration Date.
This is the Text: Thanks! I understand that congratulations are in order for you, too. We
should definitely do dinner and celebrate. I think that Niki has arranged
that for Thursday night. I will look forward to it. --Sally
Fernley Dyson
01/11/2001 10:31 AM
To: Sally Beck/HOU/ECT@ECT
cc:
Subject: Re: Visit to London
Hi Sally - and a Happy New Year. Sounds like you, David and the kids had a
great time (baking - my word you are a lady of many talents!)
I certainly would like to spend some time with you next week and I'll ask
Niki to work me in to your schedule - I'd love to have dinner one evening if
that suits.
Congratulations!
Fernley
Enron Capital & Trade Resources Corp.
From: Sally Beck 11/01/2001 15:50
To: Fernley Dyson/LON/ECT@ECT
cc:
Subject: Visit to London
I hope that your holidays were wonderful. I thoroughly enjoyed the week of
vacation that I took before Christmas. It was fun to be home with the
children, although I certainly worked hard -- up every night until very late
either baking or wrapping gifts or writing notes on last minute Christmas
cards.
I plan to be in the London office next week. I will leave Houston on Sunday
evening and will arrive in London Monday morning. After a stop by the hotel,
I should be in the office after lunch. I plan to be there through Thursday,
and will fly back to Houston on Friday morning.
I have a number of things planned to review with Mike Jordan. Some of the
major goals for the trip are:
to review Mike Jordan's action plan to move the close and officialization of
London books to same day,
to replicate an Operational Risk information session for London counterparts
(we are doing this in Houston on January 11 for managers and above within
Operations for EA, EGM and EIM),
to discuss the Doorstep process with Mike's business controllers in the
London office who will participate in Doorstep reviews this year,
to discuss with Mark Pickering the technology dependencies of the London
office related to speeding up London's information for the corporate DPR
I also plan to visit with Mike on the feasibility of utilizing our
operational pricing model in London and his thoughts on CommodityLogic and
other ideas around potential commercialization of mid and back office
services. Mike also has some members of the London team that he would like
for me to meet.
Other things planned are spending some time with Beth Apollo and Ted Murphy.
Ted and I will have a conference call with Shona and Cassandra (and team) for
a download on the New York metals Doorstep review that is taking place this
week.
I would welcome your participation in any or all of the above. In addition,
I hope that you may have some time for the two of us to touch base. Also, if
you have an opening for lunch or dinner, do let me know. I have been in the
throws of bonus allocations this week, but hope that today I can start to
finalize my calendar for next week. --Sally.
### Response: {"Parameters": ["Sender", "Date", "Recipient", "Subject", "Trip Dates", "Purpose of Trip", "Celebration Date"], "Values": ["Sally Beck", "11/01/2001 15:50", "Fernley Dyson/LON/ECT@ECT", "Visit to London", "Monday - Thursday", "Business & Pleasure", "Thursday"]} | {"Parameters": ["Sender", "Date", "Recipient", "Subject", "Trip Dates", "Purpose of Trip", "Celebration Date"], "Values": ["Sally Beck", "11/01/2001 15:50", "Fernley Dyson/LON/ECT@ECT", "Visit to London", "Monday - Thursday", "Business & Pleasure", "Thursday"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Sender, Date, Recipient, Subject, Trip Dates, Purpose of Trip, Celebration Date.
This is the Text: Thanks! I understand that congratulations are in order for you, too. We
should definitely do dinner and celebrate. I think that Niki has arranged
that for Thursday night. I will look forward to it. --Sally
Fernley Dyson
01/11/2001 10:31 AM
To: Sally Beck/HOU/ECT@ECT
cc:
Subject: Re: Visit to London
Hi Sally - and a Happy New Year. Sounds like you, David and the kids had a
great time (baking - my word you are a lady of many talents!)
I certainly would like to spend some time with you next week and I'll ask
Niki to work me in to your schedule - I'd love to have dinner one evening if
that suits.
Congratulations!
Fernley
Enron Capital & Trade Resources Corp.
From: Sally Beck 11/01/2001 15:50
To: Fernley Dyson/LON/ECT@ECT
cc:
Subject: Visit to London
I hope that your holidays were wonderful. I thoroughly enjoyed the week of
vacation that I took before Christmas. It was fun to be home with the
children, although I certainly worked hard -- up every night until very late
either baking or wrapping gifts or writing notes on last minute Christmas
cards.
I plan to be in the London office next week. I will leave Houston on Sunday
evening and will arrive in London Monday morning. After a stop by the hotel,
I should be in the office after lunch. I plan to be there through Thursday,
and will fly back to Houston on Friday morning.
I have a number of things planned to review with Mike Jordan. Some of the
major goals for the trip are:
to review Mike Jordan's action plan to move the close and officialization of
London books to same day,
to replicate an Operational Risk information session for London counterparts
(we are doing this in Houston on January 11 for managers and above within
Operations for EA, EGM and EIM),
to discuss the Doorstep process with Mike's business controllers in the
London office who will participate in Doorstep reviews this year,
to discuss with Mark Pickering the technology dependencies of the London
office related to speeding up London's information for the corporate DPR
I also plan to visit with Mike on the feasibility of utilizing our
operational pricing model in London and his thoughts on CommodityLogic and
other ideas around potential commercialization of mid and back office
services. Mike also has some members of the London team that he would like
for me to meet.
Other things planned are spending some time with Beth Apollo and Ted Murphy.
Ted and I will have a conference call with Shona and Cassandra (and team) for
a download on the New York metals Doorstep review that is taking place this
week.
I would welcome your participation in any or all of the above. In addition,
I hope that you may have some time for the two of us to touch base. Also, if
you have an opening for lunch or dinner, do let me know. I have been in the
throws of bonus allocations this week, but hope that today I can start to
finalize my calendar for next week. --Sally. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_4_net_price, English and Perry 74041 Brian Camp Suite 502 East James, item_4_gross_worth, item_5_net_price, item_5_gross_worth, item_1_net_price.
This is the Text: ice_no 95635623 invoice_date 08/11/2019 seller Jones English and Perry 74041 Brian Camp Suite 502 East James SC 21896 client Diaz Ltd 166 David Mission Lake Seanview NY 94455 seller_tax_id 916-83-7988 client_tax_id 949-70-9351 iban GB76V5KM38236855870683 item_1_desc Sperry Top-Sider Boys Toddlers Lace Tie Boat Shoes Brown 13M New item_1_qty 5 item_1_net_price €37.69 item_1_net_worth €188.45 item_1_vat 10% item_1_gross_worth €207.29 item_2_desc Native Charley White Sandals-Size Infant/Child 6-Boys/Girls-Very Good Condition item_2_qty 3 item_2_net_price 13 item_2_net_worth 39 item_2_vat 10% item_2_gross_worth €42.90 item_3_desc Jordan Sneakers Size €3.5 Youth Red And Blue item_3_qty 3 item_3_net_price €9.99 item_3_net_worth €29.97 item_3_vat 10% item_3_gross_worth €32.97 item_4_desc PUMA Boys Youth Universal FG Jr Soccer Cleats €2.5 White High Red NEW Futbol item_4_qty 1 item_4_net_price €19.99 item_4_net_worth €19.99 item_4_vat 10% item_4_gross_worth €21.99 item_5_desc NWT The Childrens Place Boys Tan Lace Up Boots 4 item_5_qty 4 item_5_net_price €20.99 item_5_net_worth €83.96 item_5_vat 10% item_5_gross_worth €92.36 total_net_worth €361.37 total_vat €36.14 total_gross_worth €397.51.
### Response: {'Parameters': ['item_4_net_price', 'item_4_gross_worth', 'item_5_net_price', 'item_5_gross_worth', 'item_1_net_price'], 'Values': ['€19.99', '€21.99', '€20.99', '€92.36', '€37.69']} | {'Parameters': ['item_4_net_price', 'item_4_gross_worth', 'item_5_net_price', 'item_5_gross_worth', 'item_1_net_price'], 'Values': ['€19.99', '€21.99', '€20.99', '€92.36', '€37.69']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_4_net_price, English and Perry 74041 Brian Camp Suite 502 East James, item_4_gross_worth, item_5_net_price, item_5_gross_worth, item_1_net_price.
This is the Text: ice_no 95635623 invoice_date 08/11/2019 seller Jones English and Perry 74041 Brian Camp Suite 502 East James SC 21896 client Diaz Ltd 166 David Mission Lake Seanview NY 94455 seller_tax_id 916-83-7988 client_tax_id 949-70-9351 iban GB76V5KM38236855870683 item_1_desc Sperry Top-Sider Boys Toddlers Lace Tie Boat Shoes Brown 13M New item_1_qty 5 item_1_net_price €37.69 item_1_net_worth €188.45 item_1_vat 10% item_1_gross_worth €207.29 item_2_desc Native Charley White Sandals-Size Infant/Child 6-Boys/Girls-Very Good Condition item_2_qty 3 item_2_net_price 13 item_2_net_worth 39 item_2_vat 10% item_2_gross_worth €42.90 item_3_desc Jordan Sneakers Size €3.5 Youth Red And Blue item_3_qty 3 item_3_net_price €9.99 item_3_net_worth €29.97 item_3_vat 10% item_3_gross_worth €32.97 item_4_desc PUMA Boys Youth Universal FG Jr Soccer Cleats €2.5 White High Red NEW Futbol item_4_qty 1 item_4_net_price €19.99 item_4_net_worth €19.99 item_4_vat 10% item_4_gross_worth €21.99 item_5_desc NWT The Childrens Place Boys Tan Lace Up Boots 4 item_5_qty 4 item_5_net_price €20.99 item_5_net_worth €83.96 item_5_vat 10% item_5_gross_worth €92.36 total_net_worth €361.37 total_vat €36.14 total_gross_worth €397.51. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, CONFIDENTIAL INFORMATION, JRA, Agreement, public domain, disclosure.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT The Parties acknowledge that each owns certain CONFIDENTIAL INFORMATION, as defined herein, which might relate to the inventions, conceptions, ideas, know-how, discoveries, processes, machines, manufactures, compositions of matter, formulations, processes, biological material, biological methods, or any improvements thereof, whether or not patentable or suitable for other form of exclusive right or legal protection, conceived, made or derived during the course of Work within the Project under this JRA; and The Parties are willing to disclose to each other such necessary CONFIDENTIAL INFORMATION provided each Party preserves the confidential nature of the other Party's INFORMATION and uses it solely for purposes of this Agreement. The Parties agree as follows: 1. "CONFIDENTIAL INFORMATION" as used in this Agreement means all technical or business information disclosed by one of the Parties to another pursuant to the JRA that is identified at the time of disclosure or within thirty (30) days thereafter as being confidential and proprietary. No information will be regarded as CONFIDENTIAL INFORMATION if the Party to which it is disclosed can show by competent proof that such information (a) was at the time of disclosure, or subsequently became, through no fault of the receiving Party, known to the general public through publication or otherwise; or (b) was, subsequent to disclosure to a Party, lawfully and independently received by that Party from a third party who had the right to disclose it without restriction. Specific aspects or details of CONFIDENTIAL INFORMATION shall not be deemed to be within the public domain or in the possession of a Party merely because the CONFIDENTIAL INFORMATION is embraced by general disclosures in the public domain or in the possession of a Party. In addition, any combination of CONFIDENTIAL INFORMATION shall not be considered in the public domain or in the possession of a Party merely because individual elements thereof are in the public domain or in the possession of that Party unless the combination and its principles are in the public domain or in the possession of that Party. 2. Any Party, at its discretion, may disclose to another Party any CONFIDENTIAL INFORMATION that the disclosing Party, in its reasonable judgment, believes
Hypothesis: Receiving Party may independently develop information similar to Confidential Information..
### Response: {"Parameters": ["Premise", "CONFIDENTIAL INFORMATION", "JRA", "Agreement", "public domain", "disclosure"], "Values": ["NON-DISCLOSURE AGREEMENT", "all technical or business information", "Joint Research Agreement", "The Parties agree as follows", "through publication or otherwise", "lawfully and independently received by that Party from a third party who had the right to disclose it without restriction"]} | {"Parameters": ["Premise", "CONFIDENTIAL INFORMATION", "JRA", "Agreement", "public domain", "disclosure"], "Values": ["NON-DISCLOSURE AGREEMENT", "all technical or business information", "Joint Research Agreement", "The Parties agree as follows", "through publication or otherwise", "lawfully and independently received by that Party from a third party who had the right to disclose it without restriction"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, CONFIDENTIAL INFORMATION, JRA, Agreement, public domain, disclosure.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT The Parties acknowledge that each owns certain CONFIDENTIAL INFORMATION, as defined herein, which might relate to the inventions, conceptions, ideas, know-how, discoveries, processes, machines, manufactures, compositions of matter, formulations, processes, biological material, biological methods, or any improvements thereof, whether or not patentable or suitable for other form of exclusive right or legal protection, conceived, made or derived during the course of Work within the Project under this JRA; and The Parties are willing to disclose to each other such necessary CONFIDENTIAL INFORMATION provided each Party preserves the confidential nature of the other Party's INFORMATION and uses it solely for purposes of this Agreement. The Parties agree as follows: 1. "CONFIDENTIAL INFORMATION" as used in this Agreement means all technical or business information disclosed by one of the Parties to another pursuant to the JRA that is identified at the time of disclosure or within thirty (30) days thereafter as being confidential and proprietary. No information will be regarded as CONFIDENTIAL INFORMATION if the Party to which it is disclosed can show by competent proof that such information (a) was at the time of disclosure, or subsequently became, through no fault of the receiving Party, known to the general public through publication or otherwise; or (b) was, subsequent to disclosure to a Party, lawfully and independently received by that Party from a third party who had the right to disclose it without restriction. Specific aspects or details of CONFIDENTIAL INFORMATION shall not be deemed to be within the public domain or in the possession of a Party merely because the CONFIDENTIAL INFORMATION is embraced by general disclosures in the public domain or in the possession of a Party. In addition, any combination of CONFIDENTIAL INFORMATION shall not be considered in the public domain or in the possession of a Party merely because individual elements thereof are in the public domain or in the possession of that Party unless the combination and its principles are in the public domain or in the possession of that Party. 2. Any Party, at its discretion, may disclose to another Party any CONFIDENTIAL INFORMATION that the disclosing Party, in its reasonable judgment, believes
Hypothesis: Receiving Party may independently develop information similar to Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: date, time, location, event, name1, name2, amount, collection_method.
This is the Text: I will pay you Monday, but please remind me if I forget. Thanks.
Enron North America Corp.
From: Kimberly Brown 08/04/2000 09:27 AM
To: Scott Neal/HOU/ECT@ECT, Jared Kaiser/HOU/ECT@ECT, Sandra F
Brawner/HOU/ECT@ECT, Dick Jenkins/HOU/ECT@ECT, Brad McKay/HOU/ECT@ECT, Scott
Hendrickson/HOU/ECT@ECT, Sarah Mulholland/HOU/ECT@ECT, Andrea
Ring/HOU/ECT@ECT, Susan W Pereira/HOU/ECT@ECT, Dan Junek/HOU/ECT@ECT, Chris
Germany/HOU/ECT@ECT, Judy Townsend/HOU/ECT@ECT, Robin Barbe/HOU/ECT@ECT,
Tammi DaPaolis/Corp/Enron@ENRON, Colleen Sullivan/HOU/ECT@ECT, Farzad
Farhangnia/HOU/ECT@ECT, John Craig Taylor/HOU/ECT@ECT, Scott
Goodell/Corp/Enron@ENRON, Clarissa Garcia/HOU/ECT@ECT, Victoria
Versen/HOU/ECT@ECT, Meredith Mitchell/HOU/ECT@ECT, Beverly Beaty/HOU/ECT@ECT,
Molly Sumrow/HOU/ECT@ECT, Alvin Thompson/Corp/Enron@Enron, Victor
Lamadrid/HOU/ECT@ECT, Edward Terry/HOU/ECT@ECT, Tricia Bowen/HOU/ECT@ECT,
Steve Gillespie/Corp/Enron@ENRON, Joe A Casas/HOU/ECT@ECT, Christina
Sanchez/Corp/Enron@ENRON, Joann Collins/Corp/Enron@ENRON, Angie
Zeman/Corp/Enron@ENRON, Jesse Villarreal/HOU/ECT@ECT, Sabra L
Dinari/HOU/ECT@ECT, Scott Loving/NA/Enron@ENRON, Robert Allwein/HOU/ECT@ECT,
Patrice L Mims/HOU/ECT@ECT, Kelli Stevens/HOU/ECT@ECT, Sylvia S
Pollan/HOU/ECT@ECT, Lisa Kinsey/HOU/ECT@ECT, Hunter S Shively/HOU/ECT@ECT,
Fletcher J Sturm/HOU/ECT@ECT, Tom Donohoe/HOU/ECT@ECT, Andrew H
Lewis/HOU/ECT@ECT, Felecia Russell/Corp/Enron@ENRON, Joe
Parks/Corp/Enron@ENRON, Jason Williams/HOU/ECT@ECT, Katherine L
Kelly/HOU/ECT@ECT, Ruth Concannon/HOU/ECT@ECT, Martin Cuilla/HOU/ECT@ECT,
Xochitl-Alexis Velasco/HOU/ECT@ECT, Airam Arteaga/HOU/ECT@ECT, Lucy
Marshall/Enron Communications@Enron Communications
cc:
Subject: Kate's Baby Shower****
I forgot to include the date..... August 18 at 3:00 in EB32C2.
The East Desk will be hosting a baby shower for Kate and Mike Fraser,
celebrating their anticipated arrival of twins(a boy and a girl)!!!!!! I
will be collecting $20 or whatever you would like to give for a gift. As
always this is not mandatory. You can bring your donation to my desk
anytime.
Thanks
Kimberly.
### Response: {"Parameters": ["date", "time", "location", "event", "name1", "name2", "amount", "collection_method"], "Values": ["August 18", "3:00", "EB32C2", "Baby Shower", "Kate Fraser", "Mike Fraser", "$20", "Collection at desk"]} | {"Parameters": ["date", "time", "location", "event", "name1", "name2", "amount", "collection_method"], "Values": ["August 18", "3:00", "EB32C2", "Baby Shower", "Kate Fraser", "Mike Fraser", "$20", "Collection at desk"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: date, time, location, event, name1, name2, amount, collection_method.
This is the Text: I will pay you Monday, but please remind me if I forget. Thanks.
Enron North America Corp.
From: Kimberly Brown 08/04/2000 09:27 AM
To: Scott Neal/HOU/ECT@ECT, Jared Kaiser/HOU/ECT@ECT, Sandra F
Brawner/HOU/ECT@ECT, Dick Jenkins/HOU/ECT@ECT, Brad McKay/HOU/ECT@ECT, Scott
Hendrickson/HOU/ECT@ECT, Sarah Mulholland/HOU/ECT@ECT, Andrea
Ring/HOU/ECT@ECT, Susan W Pereira/HOU/ECT@ECT, Dan Junek/HOU/ECT@ECT, Chris
Germany/HOU/ECT@ECT, Judy Townsend/HOU/ECT@ECT, Robin Barbe/HOU/ECT@ECT,
Tammi DaPaolis/Corp/Enron@ENRON, Colleen Sullivan/HOU/ECT@ECT, Farzad
Farhangnia/HOU/ECT@ECT, John Craig Taylor/HOU/ECT@ECT, Scott
Goodell/Corp/Enron@ENRON, Clarissa Garcia/HOU/ECT@ECT, Victoria
Versen/HOU/ECT@ECT, Meredith Mitchell/HOU/ECT@ECT, Beverly Beaty/HOU/ECT@ECT,
Molly Sumrow/HOU/ECT@ECT, Alvin Thompson/Corp/Enron@Enron, Victor
Lamadrid/HOU/ECT@ECT, Edward Terry/HOU/ECT@ECT, Tricia Bowen/HOU/ECT@ECT,
Steve Gillespie/Corp/Enron@ENRON, Joe A Casas/HOU/ECT@ECT, Christina
Sanchez/Corp/Enron@ENRON, Joann Collins/Corp/Enron@ENRON, Angie
Zeman/Corp/Enron@ENRON, Jesse Villarreal/HOU/ECT@ECT, Sabra L
Dinari/HOU/ECT@ECT, Scott Loving/NA/Enron@ENRON, Robert Allwein/HOU/ECT@ECT,
Patrice L Mims/HOU/ECT@ECT, Kelli Stevens/HOU/ECT@ECT, Sylvia S
Pollan/HOU/ECT@ECT, Lisa Kinsey/HOU/ECT@ECT, Hunter S Shively/HOU/ECT@ECT,
Fletcher J Sturm/HOU/ECT@ECT, Tom Donohoe/HOU/ECT@ECT, Andrew H
Lewis/HOU/ECT@ECT, Felecia Russell/Corp/Enron@ENRON, Joe
Parks/Corp/Enron@ENRON, Jason Williams/HOU/ECT@ECT, Katherine L
Kelly/HOU/ECT@ECT, Ruth Concannon/HOU/ECT@ECT, Martin Cuilla/HOU/ECT@ECT,
Xochitl-Alexis Velasco/HOU/ECT@ECT, Airam Arteaga/HOU/ECT@ECT, Lucy
Marshall/Enron Communications@Enron Communications
cc:
Subject: Kate's Baby Shower****
I forgot to include the date..... August 18 at 3:00 in EB32C2.
The East Desk will be hosting a baby shower for Kate and Mike Fraser,
celebrating their anticipated arrival of twins(a boy and a girl)!!!!!! I
will be collecting $20 or whatever you would like to give for a gift. As
always this is not mandatory. You can bring your donation to my desk
anytime.
Thanks
Kimberly. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Interviewer's Name, Interviewee's Name, Kind of Position offered, Mathematics Knowledge, What is Ito Lema, Financial Knowledge, Qualification for Junior Trader Position, Research Team Director's Name, Resume Requirement.
This is the Text: Darren,
Tanya and I had a telephone interview for Yumi. I do not know what
kind of position you would offer her.
If you intended to let her do the work on quantitative modeling, her knowledge
in math seems very sallow. She is working on a math degree on stochastic
process, but she can not explain what Ito' lemma is. We also asked questions
about volatility of a basket, value at risk, etc. she did not have a clear
answer.
If you intended to let her to be a junior trader, she might be ok. It seems
she has
some experience of financial market, but I think you are much more qualified
to
probe her than I do in this aspect.
Keep in touch,
Best Regards
Zimin
From: Darren Delage@ENRON on 01/12/2001 11:59 AM ZE9
To: "mm21yumi" <mm21yumi@livedoor.com>
cc: Zimin Lu/HOU/ECT@ECT
Subject: Re: Next Tuesday
Good afternoon Imokawa-San,
We would like to invite you to have a brief dialogue with some members of our
research team. They would like to ask you to briefly expound on your
mathematical studies. If you could please contact them next Wednesday at
7:50 AM (it should be 4:50 PM Houston time, Tuesday). The conversation should
take no more than 20 minutes of your time, and will enable us to get a more
enhanced understanding of your quantitative abilities.
Zimin Lu, Director of Research , can be reached at 713-853-6388
to dial from Japan , 0061-1-713-853-6388
If you could please send Zimin a copy of your resume before the interview,
that would be much appreciated. You can call the above number to obtain the
appropriate fax number.
I will be in touch with you shortly thereafter.
Sincerely,
Darren
"mm21yumi" <mm21yumi@livedoor.com>
01/11/2001 08:35 PM
To: <Darren.Delage@enron.com>
cc:
Subject: Thank you
Darren, thank you for cordinating everything.
I understand it takes time, this is
only the first week of the year in Japan, and I do not like to
push you much. Normally, I have long meetings every Thursday.
For other dates, I make best effort to fit the schedule for
your convenience, including early morning or late evening.
I am looking forward to seeing you sometime soon.
Sincerely,
Yumi Imokawa.
### Response: {"Parameters": ["Interviewer's Name", "Interviewee's Name", "Kind of Position offered", "Mathematics Knowledge", "What is Ito Lema", "Financial Knowledge", "Qualification for Junior Trader Position", "Research Team Director's Name", "Resume Requirement"], "Values": ["Zimin Lu", "Yumi Imokawa", "unclear", "sallow knowledge in math", "unable to explain what it is", "not clear", "might be ok", "Zimin Lu", "required before the interview"]} | {"Parameters": ["Interviewer's Name", "Interviewee's Name", "Kind of Position offered", "Mathematics Knowledge", "What is Ito Lema", "Financial Knowledge", "Qualification for Junior Trader Position", "Research Team Director's Name", "Resume Requirement"], "Values": ["Zimin Lu", "Yumi Imokawa", "unclear", "sallow knowledge in math", "unable to explain what it is", "not clear", "might be ok", "Zimin Lu", "required before the interview"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Interviewer's Name, Interviewee's Name, Kind of Position offered, Mathematics Knowledge, What is Ito Lema, Financial Knowledge, Qualification for Junior Trader Position, Research Team Director's Name, Resume Requirement.
This is the Text: Darren,
Tanya and I had a telephone interview for Yumi. I do not know what
kind of position you would offer her.
If you intended to let her do the work on quantitative modeling, her knowledge
in math seems very sallow. She is working on a math degree on stochastic
process, but she can not explain what Ito' lemma is. We also asked questions
about volatility of a basket, value at risk, etc. she did not have a clear
answer.
If you intended to let her to be a junior trader, she might be ok. It seems
she has
some experience of financial market, but I think you are much more qualified
to
probe her than I do in this aspect.
Keep in touch,
Best Regards
Zimin
From: Darren Delage@ENRON on 01/12/2001 11:59 AM ZE9
To: "mm21yumi" <mm21yumi@livedoor.com>
cc: Zimin Lu/HOU/ECT@ECT
Subject: Re: Next Tuesday
Good afternoon Imokawa-San,
We would like to invite you to have a brief dialogue with some members of our
research team. They would like to ask you to briefly expound on your
mathematical studies. If you could please contact them next Wednesday at
7:50 AM (it should be 4:50 PM Houston time, Tuesday). The conversation should
take no more than 20 minutes of your time, and will enable us to get a more
enhanced understanding of your quantitative abilities.
Zimin Lu, Director of Research , can be reached at 713-853-6388
to dial from Japan , 0061-1-713-853-6388
If you could please send Zimin a copy of your resume before the interview,
that would be much appreciated. You can call the above number to obtain the
appropriate fax number.
I will be in touch with you shortly thereafter.
Sincerely,
Darren
"mm21yumi" <mm21yumi@livedoor.com>
01/11/2001 08:35 PM
To: <Darren.Delage@enron.com>
cc:
Subject: Thank you
Darren, thank you for cordinating everything.
I understand it takes time, this is
only the first week of the year in Japan, and I do not like to
push you much. Normally, I have long meetings every Thursday.
For other dates, I make best effort to fit the schedule for
your convenience, including early morning or late evening.
I am looking forward to seeing you sometime soon.
Sincerely,
Yumi Imokawa. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Names, Related Event, Contact Person, Contact Email, Hotel Reservations Deadline, Registration Form Required, Event Location, Website.
This is the Text: Christie, Karen and Mike,
This is info about Texas Finance Festival, a great opportunity to establish
closer
ties with Texas business schools. You can contact John directly if you are
interested in
attending.
Vince
---------------------- Forwarded by Vince J Kaminski/HOU/ECT on 03/06/2001
02:23 PM ---------------------------
"John D. Martin" <J_Martin@baylor.edu> on 03/06/2001 12:01:35 PM
To: Ben Esty <besty@hbs.edu>, Greg Willard <gwillard@mit.edu>,
aagrawal@cba.ua.edu, Andres Almazan <Andres.Almazan@bus.utexas.edu>,
bethel@babson.edu, Murat Binay <mbinay@mail.utexas.edu>,
abutler@finance.bus.lsu.edu, Tyrone.Callahan@bus.utexas.edu, Murray Carlson
<carlsonm@mail.utexas.edu>, chapman@eco.utexas.edu, Kent Daniel
<kent@kent.kellogg.nwu.edu>, fdiebold@mail.sas.upenn.edu, lederington@ou.edu,
Harper1@U.Washington.edu, sgillan@tiaa-cref.org, Stuart Gillan
<sgillan@tiaa-cref.org>, Denis Gromb <dgromb@mit.edu>, grullon@rice.edu,
jarradh@oregon.uoregon.edu, jhartzel@stern.nyu.edu, Jhund@mail.utexas.edu,
daveike@rice.edu, jegadees@uiuc.edu, Cindy.Justice@enron.com, Matthias Kahl
<matthias.kahl@anderson.ucla.edu>, Vince.J.Kaminski@enron.com,
zkhokher@mail.utexas.edu, alynch@debit.stern.nyu.edu, Andras Marosi
<Andras.Marosi@bus.utexas.edu>, "John D. Martin" <J_Martin@baylor.edu>,
Maxwell@ba.ttu.edu, Beth Miertschin <Beth.Miertschin@enron.com>,
metrick@Wharton.upenn.edu, "Thomas H. Noe" <tnoe@mailhost.tcs.tulane.edu>,
Parrino@mail.utexas.edu, Bill Petty <Bill_Petty@baylor.edu>, manju puri
<mpuri@Stanford.EDU>, Ramnath@rice.edu, rampini@nwu.edu,
steve_rich@baylor.edu, eronn@mail.utexas.edu (Ehud I. Ronn), Kemal Saatcioglu
<KemalS@mail.utexas.edu>, Akin Sayrak <asayrak@katz.pitt.edu>,
sirri@babson.edu, Laura Starks <lstarks@mail.utexas.edu>, suarez@cemfi.es,
"A. Subrahmanyam" <asubrahm@anderson.ucla.edu>,
Stice@mailhost.tcs.tulane.edu, Titman@mail.utexas.edu,
stathis.tompaidis@bus.utexas.edu, wangfa@rice.edu, hong.yan@bus.utexas.edu,
Beth Miertschin <Beth.Miertschin@enron.com>, "Karin S. Thorburn"
<Karin.S.Thorburn@Dartmouth.EDU>
cc:
Subject: Hello all
Update:
Preparations for the upcoming Texas Finance Festival III are about complete
and I just wanted to update you on the hotel reservations information. You
will need to make your reservation before March 20 to be assured of getting
a room in our reserved block. Also, for "counting" purposes I need
everyone's registration form completed. Many of you (and a lot of new
faces) have already sent them in but some may not have, so . . .
Lots of fun stuff is planned so come prepared for a very relaxing and
productive weekend!
John
- announcerev.doc
John D. Martin
Carr P. Collins Chair in Finance
Finance Department
Baylor University
PO Box 98004
Waco, TX 76798
254-710-4473 (Office)
254-710-1092 (Fax)
J_Martin@Baylor.edu
web: http://hsb.baylor.edu/html/martinj/home.html.
### Response: {"Parameters": ["Names", "Related Event", "Contact Person", "Contact Email", "Hotel Reservations Deadline", "Registration Form Required", "Event Location", "Website"], "Values": ["['Christie', 'Karen', 'Mike']", "Texas Finance Festival", "John D. Martin", "J_Martin@Baylor.edu", "March 20", "Yes", "Baylor University, Waco, TX", "http://hsb.baylor.edu/html/martinj/home.html"]} | {"Parameters": ["Names", "Related Event", "Contact Person", "Contact Email", "Hotel Reservations Deadline", "Registration Form Required", "Event Location", "Website"], "Values": ["['Christie', 'Karen', 'Mike']", "Texas Finance Festival", "John D. Martin", "J_Martin@Baylor.edu", "March 20", "Yes", "Baylor University, Waco, TX", "http://hsb.baylor.edu/html/martinj/home.html"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Names, Related Event, Contact Person, Contact Email, Hotel Reservations Deadline, Registration Form Required, Event Location, Website.
This is the Text: Christie, Karen and Mike,
This is info about Texas Finance Festival, a great opportunity to establish
closer
ties with Texas business schools. You can contact John directly if you are
interested in
attending.
Vince
---------------------- Forwarded by Vince J Kaminski/HOU/ECT on 03/06/2001
02:23 PM ---------------------------
"John D. Martin" <J_Martin@baylor.edu> on 03/06/2001 12:01:35 PM
To: Ben Esty <besty@hbs.edu>, Greg Willard <gwillard@mit.edu>,
aagrawal@cba.ua.edu, Andres Almazan <Andres.Almazan@bus.utexas.edu>,
bethel@babson.edu, Murat Binay <mbinay@mail.utexas.edu>,
abutler@finance.bus.lsu.edu, Tyrone.Callahan@bus.utexas.edu, Murray Carlson
<carlsonm@mail.utexas.edu>, chapman@eco.utexas.edu, Kent Daniel
<kent@kent.kellogg.nwu.edu>, fdiebold@mail.sas.upenn.edu, lederington@ou.edu,
Harper1@U.Washington.edu, sgillan@tiaa-cref.org, Stuart Gillan
<sgillan@tiaa-cref.org>, Denis Gromb <dgromb@mit.edu>, grullon@rice.edu,
jarradh@oregon.uoregon.edu, jhartzel@stern.nyu.edu, Jhund@mail.utexas.edu,
daveike@rice.edu, jegadees@uiuc.edu, Cindy.Justice@enron.com, Matthias Kahl
<matthias.kahl@anderson.ucla.edu>, Vince.J.Kaminski@enron.com,
zkhokher@mail.utexas.edu, alynch@debit.stern.nyu.edu, Andras Marosi
<Andras.Marosi@bus.utexas.edu>, "John D. Martin" <J_Martin@baylor.edu>,
Maxwell@ba.ttu.edu, Beth Miertschin <Beth.Miertschin@enron.com>,
metrick@Wharton.upenn.edu, "Thomas H. Noe" <tnoe@mailhost.tcs.tulane.edu>,
Parrino@mail.utexas.edu, Bill Petty <Bill_Petty@baylor.edu>, manju puri
<mpuri@Stanford.EDU>, Ramnath@rice.edu, rampini@nwu.edu,
steve_rich@baylor.edu, eronn@mail.utexas.edu (Ehud I. Ronn), Kemal Saatcioglu
<KemalS@mail.utexas.edu>, Akin Sayrak <asayrak@katz.pitt.edu>,
sirri@babson.edu, Laura Starks <lstarks@mail.utexas.edu>, suarez@cemfi.es,
"A. Subrahmanyam" <asubrahm@anderson.ucla.edu>,
Stice@mailhost.tcs.tulane.edu, Titman@mail.utexas.edu,
stathis.tompaidis@bus.utexas.edu, wangfa@rice.edu, hong.yan@bus.utexas.edu,
Beth Miertschin <Beth.Miertschin@enron.com>, "Karin S. Thorburn"
<Karin.S.Thorburn@Dartmouth.EDU>
cc:
Subject: Hello all
Update:
Preparations for the upcoming Texas Finance Festival III are about complete
and I just wanted to update you on the hotel reservations information. You
will need to make your reservation before March 20 to be assured of getting
a room in our reserved block. Also, for "counting" purposes I need
everyone's registration form completed. Many of you (and a lot of new
faces) have already sent them in but some may not have, so . . .
Lots of fun stuff is planned so come prepared for a very relaxing and
productive weekend!
John
- announcerev.doc
John D. Martin
Carr P. Collins Chair in Finance
Finance Department
Baylor University
PO Box 98004
Waco, TX 76798
254-710-4473 (Office)
254-710-1092 (Fax)
J_Martin@Baylor.edu
web: http://hsb.baylor.edu/html/martinj/home.html. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Parties Involved, Agreement Type, Date, Purpose, Definition of Confidential Information, Mutual Covenants, Solicitation of Representatives, Location.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT This agreement, made and entered into this 15th day of April, 1996, by and between Assessment Systems, Inc., a corporation having an office at 780 Third Avenue, New York, N.Y. 10017 (hereinafter referred to as "CONSULTANT") and Telesector Resources Group, Inc, ("NYNEX"), a corporation duly organized and existing under the laws of the State of Delaware and having an office at 240 East 38th Street, New York, New York 10016. NYNEX shall remain and include Telesector Resources Group, Inc., its holding and parent companies, and its or their affiliates and subsidiaries. WITNESSETH THAT: WHEREAS, in order for CONSULTANT to provide consultant services to NYNEX it may be necessary or desirable for NYNEX to disclose to CONSULTANT certain confidential and proprietary material, information, data, and other communications concerning NYNEX's past, current, future and proposed or potential customers, products, services, operations, business forecasts, procurement requirements, plans strategies and technology; and WHEREAS, CONSULTANT and NYNEX wish to define the agreed upon terms and conditions governing the confidentially of material, information and data furnished and to be furnished by NYNEX to CONSULTANT in connection with its present and future business plans. NOW, THEREFORE, the parties hereto, in consideration of the mutual covenants and undertakings expressed herein, agree with each other as follows: 1. For the purposes of this Non-Disclosure Agreement, the term "Confidential Information" shall mean material, information, data and other communications (a) disclosed by NYNEX and/or one or more of its parent, subsidiary or affiliated corporations, appropriately marked as "Confidential," "Proprietary" or the like or otherwise disclosed in a manner consistent with its proprietary and confidential nature; or (b) produced during the course of the working relationship between NYNEX and CONSULTANT, which would either give NYNEX' competitors an advantage or diminish or eliminate NYNEX' advantage over its
Hypothesis: Receiving Party shall not solicit some of Disclosing Party's representatives..
### Response: {"Parameters": ["Parties Involved", "Agreement Type", "Date", "Purpose", "Definition of Confidential Information", "Mutual Covenants", "Solicitation of Representatives", "Location"], "Values": ["Assessment Systems, Inc. and Telesector Resources Group, Inc. (NYNEX)", "Non-Disclosure Agreement", "April 15th, 1996", "To define the agreed-upon terms and conditions governing the confidentiality of material, information and data furnished and to be furnished by NYNEX to CONSULTANT", "Material, information, data and other communications disclosed by NYNEX, appropriately marked as \"Confidential,\" \"Proprietary\" or the like...", "Agreement with each other as follows", "Receiving Party shall not solicit some of Disclosing Party's representatives", "780 Third Avenue, New York, N.Y. 10017 and 240 East 38th Street, New York, New York 10016."]} | {"Parameters": ["Parties Involved", "Agreement Type", "Date", "Purpose", "Definition of Confidential Information", "Mutual Covenants", "Solicitation of Representatives", "Location"], "Values": ["Assessment Systems, Inc. and Telesector Resources Group, Inc. (NYNEX)", "Non-Disclosure Agreement", "April 15th, 1996", "To define the agreed-upon terms and conditions governing the confidentiality of material, information and data furnished and to be furnished by NYNEX to CONSULTANT", "Material, information, data and other communications disclosed by NYNEX, appropriately marked as \"Confidential,\" \"Proprietary\" or the like...", "Agreement with each other as follows", "Receiving Party shall not solicit some of Disclosing Party's representatives", "780 Third Avenue, New York, N.Y. 10017 and 240 East 38th Street, New York, New York 10016."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Parties Involved, Agreement Type, Date, Purpose, Definition of Confidential Information, Mutual Covenants, Solicitation of Representatives, Location.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT This agreement, made and entered into this 15th day of April, 1996, by and between Assessment Systems, Inc., a corporation having an office at 780 Third Avenue, New York, N.Y. 10017 (hereinafter referred to as "CONSULTANT") and Telesector Resources Group, Inc, ("NYNEX"), a corporation duly organized and existing under the laws of the State of Delaware and having an office at 240 East 38th Street, New York, New York 10016. NYNEX shall remain and include Telesector Resources Group, Inc., its holding and parent companies, and its or their affiliates and subsidiaries. WITNESSETH THAT: WHEREAS, in order for CONSULTANT to provide consultant services to NYNEX it may be necessary or desirable for NYNEX to disclose to CONSULTANT certain confidential and proprietary material, information, data, and other communications concerning NYNEX's past, current, future and proposed or potential customers, products, services, operations, business forecasts, procurement requirements, plans strategies and technology; and WHEREAS, CONSULTANT and NYNEX wish to define the agreed upon terms and conditions governing the confidentially of material, information and data furnished and to be furnished by NYNEX to CONSULTANT in connection with its present and future business plans. NOW, THEREFORE, the parties hereto, in consideration of the mutual covenants and undertakings expressed herein, agree with each other as follows: 1. For the purposes of this Non-Disclosure Agreement, the term "Confidential Information" shall mean material, information, data and other communications (a) disclosed by NYNEX and/or one or more of its parent, subsidiary or affiliated corporations, appropriately marked as "Confidential," "Proprietary" or the like or otherwise disclosed in a manner consistent with its proprietary and confidential nature; or (b) produced during the course of the working relationship between NYNEX and CONSULTANT, which would either give NYNEX' competitors an advantage or diminish or eliminate NYNEX' advantage over its
Hypothesis: Receiving Party shall not solicit some of Disclosing Party's representatives.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: deadline, donation, cash/checks accepted, Enron Kids Holiday program.
This is the Text: Just a friendly reminder that this Friday (12/1/00) is the deadline to turn
in your donation to help provide a Wonderful Christmas for the four children
the Legal Department is sponsoring. Jenny, Laurie and I will be shopping
this weekend to purchase the items for these underprivileged children. Cash
or checks (made payable to Pat Radford) accepted. If you have already made a
donation, we sincerely thank you.
----- Forwarded by Pat Radford/HOU/ECT on 11/28/2000 04:42 PM -----
Jenny Helton
11/17/2000 11:28 AM
To: Alan Aronowitz/HOU/ECT@ECT, Roger Balog/HOU/ECT@ECT, Peggy
Banczak/HOU/ECT@ECT, Sandi M Braband/HOU/ECT@ECT, Robert
Bruce/NA/Enron@Enron, Teresa G Bushman/HOU/ECT@ECT, Bob Carter/HOU/ECT@ECT,
Michelle Cash/HOU/ECT@ECT, Barton Clark/HOU/ECT@ECT, Harry M
Collins/HOU/ECT@ECT, Mary Cook/HOU/ECT@ECT, Shonnie Daniel/HOU/ECT@ECT,
Angela Davis/NA/Enron@Enron, Peter del Vecchio/HOU/ECT@ECT, Stacy E
Dickson/HOU/ECT@ECT, Shawna Flynn/HOU/ECT@ECT, Robert H
George/NA/Enron@Enron, James Grace/Corp/Enron@ENRON, Barbara N
Gray/HOU/ECT@ECT, Mark Greenberg/NA/Enron@ENRON, Wayne Gresham/HOU/ECT@ECT,
Mark E Haedicke/HOU/ECT@ECT, Leslie Hansen/HOU/ECT@ECT, Brent
Hendry/NA/Enron@Enron, Jeffrey T Hodge/HOU/ECT@ECT, Dan J Hyvl/HOU/ECT@ECT,
Anne C Koehler/HOU/ECT@ECT, Dan Lyons/HOU/ECT@ECT, Kay Mann/Corp/Enron@Enron,
Travis McCullough/HOU/ECT@ECT, Lisa Mellencamp/HOU/ECT@ECT, Janet H
Moore/HOU/ECT@ECT, Janice R Moore/HOU/ECT@ECT, Julia Murray/HOU/ECT@ECT,
Gerald Nemec/HOU/ECT@ECT, Marcus Nettelton/NA/Enron@ENRON, David
Portz/HOU/ECT@ECT, Michael A Robison/HOU/ECT@ECT, Elizabeth
Sager/HOU/ECT@ECT, Richard B Sanders/HOU/ECT@ECT, Lance
Schuler-Legal/HOU/ECT@ECT, Sara Shackleton/HOU/ECT@ECT, Shari
Stack/HOU/ECT@ECT, Lou Stoler/HOU/ECT@ECT, Mark Taylor/HOU/ECT@ECT, Sheila
Tweed/HOU/ECT@ECT, Steve Van Hooser/HOU/ECT@ECT, John
Viverito/Corp/Enron@Enron, Ann Elizabeth White/HOU/ECT@ECT, Stuart
Zisman/HOU/ECT@ECT, Susan Bailey/HOU/ECT@ECT, Kimberlee A
Bennick/HOU/ECT@ECT, Samantha Boyd/NA/Enron@Enron, Kathleen
Carnahan/NA/Enron@Enron, Genia FitzGerald/HOU/ECT@ECT, Nony
Flores/HOU/ECT@ECT, Linda R Guinn/HOU/ECT@ECT, Ed B Hearn III/HOU/ECT@ECT,
Mary J Heinitz/HOU/ECT@ECT, Tana Jones/HOU/ECT@ECT, Deb Korkmas/HOU/ECT@ECT,
Matt Maxwell/Corp/Enron@ENRON, Laurie Mayer/HOU/ECT@ECT, Mary
Ogden/HOU/ECT@ECT, Stephanie Panus/NA/Enron@Enron, Debra
Perlingiere/HOU/ECT@ECT, Robert Walker/HOU/ECT@ECT, Kay Young/HOU/ECT@ECT,
Merrill W Haas/HOU/ECT@ECT, Eric Gillaspie/HOU/ECT@ECT, Richard
Jeffrey/Corp/Enron@Enron, Gloria Cruz/Corp/Enron@Enron, Paula
Craft/HOU/ECT@ECT, Claudia Meraz/HOU/ECT@ECT, Claudia Perez/NA/Enron@ENRON,
Reginald Shanks/HOU/ECT@ECT, Suzanne Adams/HOU/ECT@ECT, Sheri L
Cromwell/HOU/ECT@ECT, Joya Davis/HOU/ECT@ECT, Janette Elbertson/HOU/ECT@ECT,
Kaye Ellis/HOU/ECT@ECT, Carolyn George/Corp/Enron@ENRON, Taffy
Milligan/HOU/ECT@ECT, Pat Radford/HOU/ECT@ECT, Linda J Simmons/HOU/ECT@ECT,
Dina Snow/Corp/Enron@Enron, Twanda Sweet/HOU/ECT@ECT, Becky
Spencer/HOU/ECT@ECT, Brenda Whitehead/HOU/ECT@ECT, Chaundra Woods/HOU/ECT@ECT
cc:
Subject: Enron Kids Holiday
With Christmas right around the corner, it is again time for the Enron Kids
Holiday program!
This year, the Legal Department will be sponsoring 4 children from HISD
Burrus Elementary School and providing them with a Christmas that they
otherwise may not be able to have.
With your donations, these underprivileged children will enjoy a toy, book,
coat, complete outfit and shoes wrapped and delivered to their school.
I sincerely hope that you will join Pat Radford, Laurie Mayer and me in
making this holiday special for these children.
Donations will be accepted until Friday, December 1, 2000.
Thank you in advance for your participation..
### Response: {"Parameters": ["deadline", "donation", "cash/checks accepted", "Enron Kids Holiday program"], "Values": ["Friday, December 1, 2000", "Enron Kids Holiday program", "cash or checks (made payable to Pat Radford) accepted.", "4 children from HISD Burrus Elementary School"]} | {"Parameters": ["deadline", "donation", "cash/checks accepted", "Enron Kids Holiday program"], "Values": ["Friday, December 1, 2000", "Enron Kids Holiday program", "cash or checks (made payable to Pat Radford) accepted.", "4 children from HISD Burrus Elementary School"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: deadline, donation, cash/checks accepted, Enron Kids Holiday program.
This is the Text: Just a friendly reminder that this Friday (12/1/00) is the deadline to turn
in your donation to help provide a Wonderful Christmas for the four children
the Legal Department is sponsoring. Jenny, Laurie and I will be shopping
this weekend to purchase the items for these underprivileged children. Cash
or checks (made payable to Pat Radford) accepted. If you have already made a
donation, we sincerely thank you.
----- Forwarded by Pat Radford/HOU/ECT on 11/28/2000 04:42 PM -----
Jenny Helton
11/17/2000 11:28 AM
To: Alan Aronowitz/HOU/ECT@ECT, Roger Balog/HOU/ECT@ECT, Peggy
Banczak/HOU/ECT@ECT, Sandi M Braband/HOU/ECT@ECT, Robert
Bruce/NA/Enron@Enron, Teresa G Bushman/HOU/ECT@ECT, Bob Carter/HOU/ECT@ECT,
Michelle Cash/HOU/ECT@ECT, Barton Clark/HOU/ECT@ECT, Harry M
Collins/HOU/ECT@ECT, Mary Cook/HOU/ECT@ECT, Shonnie Daniel/HOU/ECT@ECT,
Angela Davis/NA/Enron@Enron, Peter del Vecchio/HOU/ECT@ECT, Stacy E
Dickson/HOU/ECT@ECT, Shawna Flynn/HOU/ECT@ECT, Robert H
George/NA/Enron@Enron, James Grace/Corp/Enron@ENRON, Barbara N
Gray/HOU/ECT@ECT, Mark Greenberg/NA/Enron@ENRON, Wayne Gresham/HOU/ECT@ECT,
Mark E Haedicke/HOU/ECT@ECT, Leslie Hansen/HOU/ECT@ECT, Brent
Hendry/NA/Enron@Enron, Jeffrey T Hodge/HOU/ECT@ECT, Dan J Hyvl/HOU/ECT@ECT,
Anne C Koehler/HOU/ECT@ECT, Dan Lyons/HOU/ECT@ECT, Kay Mann/Corp/Enron@Enron,
Travis McCullough/HOU/ECT@ECT, Lisa Mellencamp/HOU/ECT@ECT, Janet H
Moore/HOU/ECT@ECT, Janice R Moore/HOU/ECT@ECT, Julia Murray/HOU/ECT@ECT,
Gerald Nemec/HOU/ECT@ECT, Marcus Nettelton/NA/Enron@ENRON, David
Portz/HOU/ECT@ECT, Michael A Robison/HOU/ECT@ECT, Elizabeth
Sager/HOU/ECT@ECT, Richard B Sanders/HOU/ECT@ECT, Lance
Schuler-Legal/HOU/ECT@ECT, Sara Shackleton/HOU/ECT@ECT, Shari
Stack/HOU/ECT@ECT, Lou Stoler/HOU/ECT@ECT, Mark Taylor/HOU/ECT@ECT, Sheila
Tweed/HOU/ECT@ECT, Steve Van Hooser/HOU/ECT@ECT, John
Viverito/Corp/Enron@Enron, Ann Elizabeth White/HOU/ECT@ECT, Stuart
Zisman/HOU/ECT@ECT, Susan Bailey/HOU/ECT@ECT, Kimberlee A
Bennick/HOU/ECT@ECT, Samantha Boyd/NA/Enron@Enron, Kathleen
Carnahan/NA/Enron@Enron, Genia FitzGerald/HOU/ECT@ECT, Nony
Flores/HOU/ECT@ECT, Linda R Guinn/HOU/ECT@ECT, Ed B Hearn III/HOU/ECT@ECT,
Mary J Heinitz/HOU/ECT@ECT, Tana Jones/HOU/ECT@ECT, Deb Korkmas/HOU/ECT@ECT,
Matt Maxwell/Corp/Enron@ENRON, Laurie Mayer/HOU/ECT@ECT, Mary
Ogden/HOU/ECT@ECT, Stephanie Panus/NA/Enron@Enron, Debra
Perlingiere/HOU/ECT@ECT, Robert Walker/HOU/ECT@ECT, Kay Young/HOU/ECT@ECT,
Merrill W Haas/HOU/ECT@ECT, Eric Gillaspie/HOU/ECT@ECT, Richard
Jeffrey/Corp/Enron@Enron, Gloria Cruz/Corp/Enron@Enron, Paula
Craft/HOU/ECT@ECT, Claudia Meraz/HOU/ECT@ECT, Claudia Perez/NA/Enron@ENRON,
Reginald Shanks/HOU/ECT@ECT, Suzanne Adams/HOU/ECT@ECT, Sheri L
Cromwell/HOU/ECT@ECT, Joya Davis/HOU/ECT@ECT, Janette Elbertson/HOU/ECT@ECT,
Kaye Ellis/HOU/ECT@ECT, Carolyn George/Corp/Enron@ENRON, Taffy
Milligan/HOU/ECT@ECT, Pat Radford/HOU/ECT@ECT, Linda J Simmons/HOU/ECT@ECT,
Dina Snow/Corp/Enron@Enron, Twanda Sweet/HOU/ECT@ECT, Becky
Spencer/HOU/ECT@ECT, Brenda Whitehead/HOU/ECT@ECT, Chaundra Woods/HOU/ECT@ECT
cc:
Subject: Enron Kids Holiday
With Christmas right around the corner, it is again time for the Enron Kids
Holiday program!
This year, the Legal Department will be sponsoring 4 children from HISD
Burrus Elementary School and providing them with a Christmas that they
otherwise may not be able to have.
With your donations, these underprivileged children will enjoy a toy, book,
coat, complete outfit and shoes wrapped and delivered to their school.
I sincerely hope that you will join Pat Radford, Laurie Mayer and me in
making this holiday special for these children.
Donations will be accepted until Friday, December 1, 2000.
Thank you in advance for your participation.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Deal Number, Price Change, Total MW, Term Change, Buyer, Seller, Product, Location, Date, Broker Fee Included.
This is the Text: Matt Motley
deal 524143
Per Amerex the price should be $263 not $163 - price changed to $263
Mike Swerzbin
deal 524171
Per Amerex the price should be $300 not $310 - price changed to $300
deal 524172
Per Amerex the price should be $300 not $310 - price changed to $300
deal 524267
Per Amerex the total mw should be 50 not 25 - MW should be 25 - other side of
sleeve is 25 MW
deal 524310
Per Amerex the term should be March not April - term should be April
I am missing the following deal:
Enron buys from EES 25 mw of off-peak Mid-C for Q3'01 at $285.95. - 524248 -
part of a spread sleeve done with EES and El Paso - only one broker fee
agreed upon - fee included on deal 524247 NOT 524248
Jeff Richter
deal 523881
Per Amerex the term should be 2/17 only not 2/17-2/18 - on peak deal - does
not calculate any volume for 2/18 because it is a Sunday (all off peak hours)
deal 523882
Per Amerex the term should be 2/17 only not 2/17-2/18 - same as above
The above trades were entered in Jeff's deal blotter with a Saturday/Sunday
mask; I guess Carla has done this before and said it shouldn't make a
difference because Sunday is an off-peak day and these are on-peak deals. If
it does make a difference in reference to your group, please let me know and
I'll be happy to pass the message on to the traders and anyone else who
enters deals. I can also change those deals if necessary.
Thanks,
Kate
Evelyn Metoyer@ENRON
02/15/2001 02:38 PM
To: Kate Symes/PDX/ECT@ECT
cc:
Subject: 2/15 Amerex Checkout
Jeff Richter
deal 523881
Per Amerex the term should be 2/17 only not 2/17-2/18
deal 523882
Per Amerex the term should be 2/17 only not 2/17-2/18
Matt Motley
deal 524143
Per Amerex the price should be $263 not $163
Mike Swerzbin
deal 524171
Per Amerex the price should be $300 not $310
deal 524172
Per Amerex the price should be $300 not $310
deal 524267
Per Amerex the total mw should be 50 not 25
deal 524310
Per Amerex the term should be March not April
I am missing the following deal:
Enron buys from EES 25 mw of off-peak Mid-C for Q3'01 at $285.95..
### Response: {"Parameters": ["Deal Number", "Price Change", "Total MW", "Term Change", "Buyer", "Seller", "Product", "Location", "Date", "Broker Fee Included"], "Values": ["523881 to 523882 and 524143", "$163 to $263 and $310 to $300", "25 to 50", "April to March and 2/17-2/18 to 2/17 only", "Enron", "EES", "Mid-C", "Q3'01", "02/15/2001", "Included on 524247 NOT 524248"]} | {"Parameters": ["Deal Number", "Price Change", "Total MW", "Term Change", "Buyer", "Seller", "Product", "Location", "Date", "Broker Fee Included"], "Values": ["523881 to 523882 and 524143", "$163 to $263 and $310 to $300", "25 to 50", "April to March and 2/17-2/18 to 2/17 only", "Enron", "EES", "Mid-C", "Q3'01", "02/15/2001", "Included on 524247 NOT 524248"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Deal Number, Price Change, Total MW, Term Change, Buyer, Seller, Product, Location, Date, Broker Fee Included.
This is the Text: Matt Motley
deal 524143
Per Amerex the price should be $263 not $163 - price changed to $263
Mike Swerzbin
deal 524171
Per Amerex the price should be $300 not $310 - price changed to $300
deal 524172
Per Amerex the price should be $300 not $310 - price changed to $300
deal 524267
Per Amerex the total mw should be 50 not 25 - MW should be 25 - other side of
sleeve is 25 MW
deal 524310
Per Amerex the term should be March not April - term should be April
I am missing the following deal:
Enron buys from EES 25 mw of off-peak Mid-C for Q3'01 at $285.95. - 524248 -
part of a spread sleeve done with EES and El Paso - only one broker fee
agreed upon - fee included on deal 524247 NOT 524248
Jeff Richter
deal 523881
Per Amerex the term should be 2/17 only not 2/17-2/18 - on peak deal - does
not calculate any volume for 2/18 because it is a Sunday (all off peak hours)
deal 523882
Per Amerex the term should be 2/17 only not 2/17-2/18 - same as above
The above trades were entered in Jeff's deal blotter with a Saturday/Sunday
mask; I guess Carla has done this before and said it shouldn't make a
difference because Sunday is an off-peak day and these are on-peak deals. If
it does make a difference in reference to your group, please let me know and
I'll be happy to pass the message on to the traders and anyone else who
enters deals. I can also change those deals if necessary.
Thanks,
Kate
Evelyn Metoyer@ENRON
02/15/2001 02:38 PM
To: Kate Symes/PDX/ECT@ECT
cc:
Subject: 2/15 Amerex Checkout
Jeff Richter
deal 523881
Per Amerex the term should be 2/17 only not 2/17-2/18
deal 523882
Per Amerex the term should be 2/17 only not 2/17-2/18
Matt Motley
deal 524143
Per Amerex the price should be $263 not $163
Mike Swerzbin
deal 524171
Per Amerex the price should be $300 not $310
deal 524172
Per Amerex the price should be $300 not $310
deal 524267
Per Amerex the total mw should be 50 not 25
deal 524310
Per Amerex the term should be March not April
I am missing the following deal:
Enron buys from EES 25 mw of off-peak Mid-C for Q3'01 at $285.95.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_vat, item_1_net_worth, total_net_worth, total_vat, item_1_gross_worth, client, iban.
This is the Text: ice_no 16692901 invoice_date 04/03/2018 seller Jackson-Oliver 8041 Hawkins Village Suite 629 Garciahaven AZ 99709 client Tucker-Diaz 22764 Murphy Garden North Nicoleberg RI 90466 seller_tax_id 911-70-7669 client_tax_id 911-83-7666 iban GB93CNVP09591308802379 item_1_desc Keen Waterproof Hiking Shoes Kids Boys Size 12 Brown Black Outdoor Sneakers item_1_qty 2 item_1_net_price CHF35.97 item_1_net_worth CHF71.94 item_1_vat 10% item_1_gross_worth CHF79.13 total_net_worth CHF71.94 total_vat CHF7.19 total_gross_worth Total.
### Response: {'Parameters': ['item_1_vat', 'item_1_net_worth', 'total_net_worth', 'total_vat', 'item_1_gross_worth', 'client', 'iban'], 'Values': ['10%', 'CHF71.94', 'CHF71.94', 'CHF7.19', 'CHF79.13', 'Tucker-Diaz 22764 Murphy Garden North Nicoleberg', 'GB93CNVP09591308802379']} | {'Parameters': ['item_1_vat', 'item_1_net_worth', 'total_net_worth', 'total_vat', 'item_1_gross_worth', 'client', 'iban'], 'Values': ['10%', 'CHF71.94', 'CHF71.94', 'CHF7.19', 'CHF79.13', 'Tucker-Diaz 22764 Murphy Garden North Nicoleberg', 'GB93CNVP09591308802379']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_vat, item_1_net_worth, total_net_worth, total_vat, item_1_gross_worth, client, iban.
This is the Text: ice_no 16692901 invoice_date 04/03/2018 seller Jackson-Oliver 8041 Hawkins Village Suite 629 Garciahaven AZ 99709 client Tucker-Diaz 22764 Murphy Garden North Nicoleberg RI 90466 seller_tax_id 911-70-7669 client_tax_id 911-83-7666 iban GB93CNVP09591308802379 item_1_desc Keen Waterproof Hiking Shoes Kids Boys Size 12 Brown Black Outdoor Sneakers item_1_qty 2 item_1_net_price CHF35.97 item_1_net_worth CHF71.94 item_1_vat 10% item_1_gross_worth CHF79.13 total_net_worth CHF71.94 total_vat CHF7.19 total_gross_worth Total. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, Subject, Sender, Recipient, Information Status, Completed Goals, Current Goals.
This is the Text: thanks
-----Original Message-----
From: Abel, Chris
Sent: Thursday, January 17, 2002 11:06 AM
To: Thapar, Raj; Beck, Sally; Pearce, Barry; Apollo, Beth
Cc: Considine, Keith; Ayala, Susie; Trevino, Susan; Wilson, Shona
Subject: RE: priorities for 1/16
The status of the 12/31 DPR is as follows:
North America Gas: P&L and Bench preliminary, final will be received soon.
North America Power East: Final information received
North America Power West: Final information received
North America Power Canada: Final information received
EES Gas and Power: Information currently not available
South America Gas and Power: Final information received
Enron Europe: Attempting to coordinate with Europe about reporting only ECTRIC piece.
Global Products: Status unknown
Weather: Final should be available next week
Coal: Final should be available 1/17
Freight: Status unknown
Emissions: Status unknown
Global Risk Markets: Final information received
Equity, Convertible Arb, Foreign Currency: no positions to report on
Interest Rate: Data not available
Paper, Lumber and Steel: Final information received
Broadband, Advertising and DRAM: Final expected next week
PGE: Final information received
ETS: Status unknown
Merchant Portfolio: Final information received
Capital Portfolio: Status unknown
I am still trying to find out whether we will receive information from several groups. I will keep you updated on the progress.
Chris Abel
-----Original Message-----
From: Wilson, Shona
Sent: Wednesday, January 16, 2002 8:34 AM
To: Thapar, Raj; Beck, Sally; Pearce, Barry; Apollo, Beth
Cc: Abel, Chris; Considine, Keith; Ayala, Susie; Trevino, Susan
Subject: priorities for 1/16 and accomplishments for 1/15
1/15 -
curve val: we have scoped the curve val project and have discussed it with PwC. I've talked to E&Y in general terms and have a meeting with them on this at 10 today. We have also had initial discussions with the different risk groups about the holes in the curve construction & upload process and our deliverable for the end of today is a list of where the holes are and a plan to fill those holes.
We spent significant time with E&Y to go over the make up of the DPR.
We are working with the different groups on the 12/31 DPR information. So far, we have only had one request for it. My gut feeling is that EIM & ENA are complete, but ECTRIC & EGM need a bit more time. Chris should have a complete status ready for today.
Our systems are fixed (hooray!). Yesterday we caught up on the Enovate and Bridgeline DPRs as well as spent significant time with IT to get the systems fixed.
Susie is still working on the SEC VAR for 10/31, 11/30, and will start 12/31 as soon as all of the information is available. She has also started the net assets work.
Lastly, the whole group had CAS training so once we get access to the system we can start pulling info by counterparty.
Today our goals are:
Curve val - finalize memo (getting agreement from PwC, E&Y, and Enron estate), put listing of curve construction plan fwd, start determining what the different buckets of curves are and what tools are available to perform analysis
Field more E&Y DPR qus
Have a complete status report on the 12/31 DPR.
Prepare ongoing reporting (Enovate, Bridgeline etc).
I also hope to get some time to familarize myself with the CAS environment.
Regards
Chris Abel
Manager, Risk Controls
Global Risk Operations
chris.abel@enron.com <mailto:chris.abel@enron.com>
713.853.3102.
### Response: {"Parameters": ["Date", "Subject", "Sender", "Recipient", "Information Status", "Completed Goals", "Current Goals"], "Values": ["Thursday, January 17, 2002", "RE: priorities for 1/16", "Abel, Chris", "Thapar, Raj; Beck, Sally; Pearce, Barry; Apollo, Beth", "DPR Status", "curve val memo, DPR report, fixing systems", "Finalize Curve val memo, Field more DPR questions, complete 12/31 DPR report, ongoing reporting preparation"]} | {"Parameters": ["Date", "Subject", "Sender", "Recipient", "Information Status", "Completed Goals", "Current Goals"], "Values": ["Thursday, January 17, 2002", "RE: priorities for 1/16", "Abel, Chris", "Thapar, Raj; Beck, Sally; Pearce, Barry; Apollo, Beth", "DPR Status", "curve val memo, DPR report, fixing systems", "Finalize Curve val memo, Field more DPR questions, complete 12/31 DPR report, ongoing reporting preparation"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, Subject, Sender, Recipient, Information Status, Completed Goals, Current Goals.
This is the Text: thanks
-----Original Message-----
From: Abel, Chris
Sent: Thursday, January 17, 2002 11:06 AM
To: Thapar, Raj; Beck, Sally; Pearce, Barry; Apollo, Beth
Cc: Considine, Keith; Ayala, Susie; Trevino, Susan; Wilson, Shona
Subject: RE: priorities for 1/16
The status of the 12/31 DPR is as follows:
North America Gas: P&L and Bench preliminary, final will be received soon.
North America Power East: Final information received
North America Power West: Final information received
North America Power Canada: Final information received
EES Gas and Power: Information currently not available
South America Gas and Power: Final information received
Enron Europe: Attempting to coordinate with Europe about reporting only ECTRIC piece.
Global Products: Status unknown
Weather: Final should be available next week
Coal: Final should be available 1/17
Freight: Status unknown
Emissions: Status unknown
Global Risk Markets: Final information received
Equity, Convertible Arb, Foreign Currency: no positions to report on
Interest Rate: Data not available
Paper, Lumber and Steel: Final information received
Broadband, Advertising and DRAM: Final expected next week
PGE: Final information received
ETS: Status unknown
Merchant Portfolio: Final information received
Capital Portfolio: Status unknown
I am still trying to find out whether we will receive information from several groups. I will keep you updated on the progress.
Chris Abel
-----Original Message-----
From: Wilson, Shona
Sent: Wednesday, January 16, 2002 8:34 AM
To: Thapar, Raj; Beck, Sally; Pearce, Barry; Apollo, Beth
Cc: Abel, Chris; Considine, Keith; Ayala, Susie; Trevino, Susan
Subject: priorities for 1/16 and accomplishments for 1/15
1/15 -
curve val: we have scoped the curve val project and have discussed it with PwC. I've talked to E&Y in general terms and have a meeting with them on this at 10 today. We have also had initial discussions with the different risk groups about the holes in the curve construction & upload process and our deliverable for the end of today is a list of where the holes are and a plan to fill those holes.
We spent significant time with E&Y to go over the make up of the DPR.
We are working with the different groups on the 12/31 DPR information. So far, we have only had one request for it. My gut feeling is that EIM & ENA are complete, but ECTRIC & EGM need a bit more time. Chris should have a complete status ready for today.
Our systems are fixed (hooray!). Yesterday we caught up on the Enovate and Bridgeline DPRs as well as spent significant time with IT to get the systems fixed.
Susie is still working on the SEC VAR for 10/31, 11/30, and will start 12/31 as soon as all of the information is available. She has also started the net assets work.
Lastly, the whole group had CAS training so once we get access to the system we can start pulling info by counterparty.
Today our goals are:
Curve val - finalize memo (getting agreement from PwC, E&Y, and Enron estate), put listing of curve construction plan fwd, start determining what the different buckets of curves are and what tools are available to perform analysis
Field more E&Y DPR qus
Have a complete status report on the 12/31 DPR.
Prepare ongoing reporting (Enovate, Bridgeline etc).
I also hope to get some time to familarize myself with the CAS environment.
Regards
Chris Abel
Manager, Risk Controls
Global Risk Operations
chris.abel@enron.com <mailto:chris.abel@enron.com>
713.853.3102. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: seller, item_1_net_price, item_1_net_worth, total_net_worth, , item_2_net_price, client_tax_id.
This is the Text: ice_no 60241381 invoice_date 10/02/2018 seller Stevens-Black 35899 Sean Plaza Jasonton NE 23838 client Higgins Bautista and Harrison PSC 7664 Box 0557 APO AE 53176 seller_tax_id 939-88-5337 client_tax_id 953-83-6989 iban GB31FUBU09086285398305 item_1_desc Women's black cocktail dress item_1_qty 5 item_1_net_price CHF19.99 item_1_net_worth CHF99.95 item_1_vat 10% item_1_gross_worth CHF109.94 item_2_desc Women Sexy Lingerie Lace Dress Underwear Babydoll Sleepwear G-string Bikini Lot item_2_qty 5 item_2_net_price CHF0.99 item_2_net_worth CHF4.95 item_2_vat 10% item_2_gross_worth CHF5.45 total_net_worth CHF104.90 total_vat CHF10.49 total_gross_worth CHF115.39.
### Response: {'Parameters': ['seller', 'item_1_net_price', 'item_1_net_worth', 'total_net_worth', 'item_2_net_price', 'client_tax_id'], 'Values': ['Stevens-Black 35899 Sean Plaza Jasonton', 'CHF19.99', 'CHF99.95', 'CHF104.90', 'CHF0.99', '953-83-6989']} | {'Parameters': ['seller', 'item_1_net_price', 'item_1_net_worth', 'total_net_worth', 'item_2_net_price', 'client_tax_id'], 'Values': ['Stevens-Black 35899 Sean Plaza Jasonton', 'CHF19.99', 'CHF99.95', 'CHF104.90', 'CHF0.99', '953-83-6989']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: seller, item_1_net_price, item_1_net_worth, total_net_worth, , item_2_net_price, client_tax_id.
This is the Text: ice_no 60241381 invoice_date 10/02/2018 seller Stevens-Black 35899 Sean Plaza Jasonton NE 23838 client Higgins Bautista and Harrison PSC 7664 Box 0557 APO AE 53176 seller_tax_id 939-88-5337 client_tax_id 953-83-6989 iban GB31FUBU09086285398305 item_1_desc Women's black cocktail dress item_1_qty 5 item_1_net_price CHF19.99 item_1_net_worth CHF99.95 item_1_vat 10% item_1_gross_worth CHF109.94 item_2_desc Women Sexy Lingerie Lace Dress Underwear Babydoll Sleepwear G-string Bikini Lot item_2_qty 5 item_2_net_price CHF0.99 item_2_net_worth CHF4.95 item_2_vat 10% item_2_gross_worth CHF5.45 total_net_worth CHF104.90 total_vat CHF10.49 total_gross_worth CHF115.39. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Type, Effective Date, Parties, Non-Competition Period, Product Definition, Product Business, Outsourcing and Professional Services, Confidential Information, Permitted Disclosures, Term.
This is the Text: Premise: NON-COMPETITION, REFERRAL AND NON-DISCLOSURE AGREEMENT NON-COMPETITION, REFERRAL AND NON-DISCLOSURE AGREEMENT (the "Agreement"), dated as of May 10, 1999, by and between CompuCom Systems, Inc., a Delaware corporation ("CompuCom"), and ENTEX Information Services, Inc., a Delaware corporation ("Seller"). RECITALS WHEREAS, CompuCom and Seller have entered into an Asset Purchase Agreement dated as of May 10, 1999 (the "Asset Purchase Agreement"); WHEREAS, the execution of this Agreement is a condition to CompuCom acquiring, and Seller disposing of, the Purchased Assets (as defined in the Asset Purchase Agreement) in connection with the Asset Purchase Agreement; NOW, THEREFORE, in consideration of the mutual covenants and agreements set forth herein, CompuCom and Seller hereby agree as follows: 1.1 For purposes of this Agreement, the following terms have the following meanings: (1) "Configuration" means the preparation of a computer and related hardware and integration of components into a computer system; provided that the term "Configuration" shall not include installation of a computer or related hardware at a customer site. (2) "Non-Competition Period" means the period commencing on May 12, 1999 and ending on May 11, 2000. (3) "Product" means any computer or related hardware and peripherals (including hubs, switches and routers or networking hardware) or software products (including networking software products) which CompuCom has the ability to sell. (4) "Product Business" means the acceptance and fulfillment of customer orders for Products, including the manufacturing, channel assembly, co-location or centralized image loading and Configuration of Products; provided that the term "Product Business" shall not include on-site Configuration of computer or related hardware or software products made subsequent to the initial image load/configuration. (5) "Outsourcing and Professional Services" means (a) consulting, system migrations, project management, other services typically referred to as "
Hypothesis: Receiving Party may acquire information similar to Confidential Information from a third party..
### Response: {"Parameters": ["Agreement Type", "Effective Date", "Parties", "Non-Competition Period", "Product Definition", "Product Business", "Outsourcing and Professional Services", "Confidential Information", "Permitted Disclosures", "Term"], "Values": ["NON-COMPETITION, REFERRAL AND NON-DISCLOSURE AGREEMENT", "May 10, 1999", "CompuCom Systems, Inc., ENTEX Information Services, Inc.", "May 12, 1999 to May 11, 2000", "Computer or related hardware and peripherals or software products which CompuCom has the ability to sell", "Acceptance and fulfillment of customer orders for Products, including the manufacturing, channel assembly, co-location or centralized image loading and Configuration of Products", "Consulting, system migrations, project management and other services", "Information designated as confidential", "Disclosures required by law or regulation and disclosures to legal or financial advisors", "One year after the termination of the Agreement unless otherwise specified"]} | {"Parameters": ["Agreement Type", "Effective Date", "Parties", "Non-Competition Period", "Product Definition", "Product Business", "Outsourcing and Professional Services", "Confidential Information", "Permitted Disclosures", "Term"], "Values": ["NON-COMPETITION, REFERRAL AND NON-DISCLOSURE AGREEMENT", "May 10, 1999", "CompuCom Systems, Inc., ENTEX Information Services, Inc.", "May 12, 1999 to May 11, 2000", "Computer or related hardware and peripherals or software products which CompuCom has the ability to sell", "Acceptance and fulfillment of customer orders for Products, including the manufacturing, channel assembly, co-location or centralized image loading and Configuration of Products", "Consulting, system migrations, project management and other services", "Information designated as confidential", "Disclosures required by law or regulation and disclosures to legal or financial advisors", "One year after the termination of the Agreement unless otherwise specified"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Type, Effective Date, Parties, Non-Competition Period, Product Definition, Product Business, Outsourcing and Professional Services, Confidential Information, Permitted Disclosures, Term.
This is the Text: Premise: NON-COMPETITION, REFERRAL AND NON-DISCLOSURE AGREEMENT NON-COMPETITION, REFERRAL AND NON-DISCLOSURE AGREEMENT (the "Agreement"), dated as of May 10, 1999, by and between CompuCom Systems, Inc., a Delaware corporation ("CompuCom"), and ENTEX Information Services, Inc., a Delaware corporation ("Seller"). RECITALS WHEREAS, CompuCom and Seller have entered into an Asset Purchase Agreement dated as of May 10, 1999 (the "Asset Purchase Agreement"); WHEREAS, the execution of this Agreement is a condition to CompuCom acquiring, and Seller disposing of, the Purchased Assets (as defined in the Asset Purchase Agreement) in connection with the Asset Purchase Agreement; NOW, THEREFORE, in consideration of the mutual covenants and agreements set forth herein, CompuCom and Seller hereby agree as follows: 1.1 For purposes of this Agreement, the following terms have the following meanings: (1) "Configuration" means the preparation of a computer and related hardware and integration of components into a computer system; provided that the term "Configuration" shall not include installation of a computer or related hardware at a customer site. (2) "Non-Competition Period" means the period commencing on May 12, 1999 and ending on May 11, 2000. (3) "Product" means any computer or related hardware and peripherals (including hubs, switches and routers or networking hardware) or software products (including networking software products) which CompuCom has the ability to sell. (4) "Product Business" means the acceptance and fulfillment of customer orders for Products, including the manufacturing, channel assembly, co-location or centralized image loading and Configuration of Products; provided that the term "Product Business" shall not include on-site Configuration of computer or related hardware or software products made subsequent to the initial image load/configuration. (5) "Outsourcing and Professional Services" means (a) consulting, system migrations, project management, other services typically referred to as "
Hypothesis: Receiving Party may acquire information similar to Confidential Information from a third party.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date of text, Number of attendees for offsite, Location suggestions for offsite, Type of activities suggested, Frequency of staff meetings, Date/Time of first staff meeting, Expected attendees for staff meetings.
This is the Text: Suggestions for offsite:
1) Non Enron speakers/presenters
2) Cabo San Lucas, The Biltmore in Coral Gables,FL, The Broadmoor in Colorado Springs
From: John J Lavorato/ENRON@enronXgate on 05/02/2001 04:29 PM
To: Phillip K Allen/HOU/ECT@ECT, John Arnold/HOU/ECT@ECT, Harry Arora/ENRON@enronXgate, Edward D Baughman/ENRON@enronXgate, Sally Beck/ENRON@enronXgate, Tim Belden/HOU/ECT@ECT, Christopher F Calger/PDX/ECT@ECT, Remi Collonges/SA/Enron@Enron, Wes Colwell/ENRON@enronXgate, Derek Davies/CAL/ECT@ECT, Mark Dana Davis/HOU/ECT@ECT, Joseph Deffner/ENRON@enronXgate, Glen Devries/ENRON@enronxgate, Paul Devries/TOR/ECT@ECT, W David Duran/HOU/ECT@ECT, Chris H Foster/ENRON@enronXgate, Doug Gilbert-Smith/Corp/Enron@ENRON, Orlando Gonzalez/SA/Enron@Enron, Mark E Haedicke/HOU/ECT@ECT, Rogers Herndon/HOU/ECT@ect, Ben Jacoby/HOU/ECT@ECT, Scott Josey/ENRON@enronXgate, Joe Kishkill/SA/Enron@Enron, Kyle Kitagawa/CAL/ECT@ECT, Fred Lagrasta/ENRON@enronXgate, John J Lavorato/ENRON@enronXgate, Eric LeDain/CAL/ECT@ECT, Laura Luce/Corp/Enron@Enron, Thomas A Martin/ENRON@enronXgate, Jonathan McKay/CAL/ECT@ECT, Don Miller/ENRON@enronXgate, Michael L Miller/ENRON@enronXgate, Rob Milnthorp/CAL/ECT@ECT, Jean Mrha/ENRON@enronXgate, Scott Neal/HOU/ECT@ECT, David Oxley/ENRON@enronXgate, David Parquet/SF/ECT@ECT, Beth Perlman/ENRON@enronXgate, Kevin M Presto/HOU/ECT@ECT, Brian Redmond/ENRON@enronXgate, Hunter S Shively/ENRON@enronXgate, Fletcher J Sturm/HOU/ECT@ECT, Mike Swerzbin/ENRON@enronxgate, C John Thompson/ENRON@enronXgate, Carl Tricoli/Corp/Enron@Enron, Barry Tycholiz/NA/Enron@ENRON, Frank W Vickers/NA/Enron@Enron, Brett R Wiggs/SA/Enron@Enron, Greg Wolfe/ENRON@enronXgate, Max Yzaguirre/NA/Enron@ENRON, John Zufferli/CAL/ECT@ECT
cc: Louise Kitchen/HOU/ECT@ECT
Subject:
Hello everyone.
In December we decided to kill our planned offsite due to market volatility. Louise and I would like to get everyone together offsite, probably in late June (once Louise is back from holiday (just kidding)). I think it's time to go have a little fun with the group driving Enron's success.
I would like suggestions as to:
1) Where to go.
2) What should be the focus of the business meetings.
3) Should we have business meetings or should we do something else (ie. climb a mountain)? I'm not a strong bid on climbing a mountain.
4) And any other ideas you have.
In addition I would like to start having staff meetings about once a month. The first one will be Friday May 11th at 2:30 p.m. Please add this to your schedule. I have invited everyone who has P/L responsibility. Portland, Calgary and Toronto will have to be on Video or Phone conference.
Regards
John.
### Response: {"Parameters": ["Date of text", "Number of attendees for offsite", "Location suggestions for offsite", "Type of activities suggested", "Frequency of staff meetings", "Date/Time of first staff meeting", "Expected attendees for staff meetings"], "Values": ["05/02/2001", "Everyone", "Cabo San Lucas, The Biltmore in Coral Gables,FL, The Broadmoor in Colorado Springs", "Climbing mountain/undecided", "Once a month", "Friday May 11th at 2:30 p.m.", "Everyone with P/L responsibility"]} | {"Parameters": ["Date of text", "Number of attendees for offsite", "Location suggestions for offsite", "Type of activities suggested", "Frequency of staff meetings", "Date/Time of first staff meeting", "Expected attendees for staff meetings"], "Values": ["05/02/2001", "Everyone", "Cabo San Lucas, The Biltmore in Coral Gables,FL, The Broadmoor in Colorado Springs", "Climbing mountain/undecided", "Once a month", "Friday May 11th at 2:30 p.m.", "Everyone with P/L responsibility"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date of text, Number of attendees for offsite, Location suggestions for offsite, Type of activities suggested, Frequency of staff meetings, Date/Time of first staff meeting, Expected attendees for staff meetings.
This is the Text: Suggestions for offsite:
1) Non Enron speakers/presenters
2) Cabo San Lucas, The Biltmore in Coral Gables,FL, The Broadmoor in Colorado Springs
From: John J Lavorato/ENRON@enronXgate on 05/02/2001 04:29 PM
To: Phillip K Allen/HOU/ECT@ECT, John Arnold/HOU/ECT@ECT, Harry Arora/ENRON@enronXgate, Edward D Baughman/ENRON@enronXgate, Sally Beck/ENRON@enronXgate, Tim Belden/HOU/ECT@ECT, Christopher F Calger/PDX/ECT@ECT, Remi Collonges/SA/Enron@Enron, Wes Colwell/ENRON@enronXgate, Derek Davies/CAL/ECT@ECT, Mark Dana Davis/HOU/ECT@ECT, Joseph Deffner/ENRON@enronXgate, Glen Devries/ENRON@enronxgate, Paul Devries/TOR/ECT@ECT, W David Duran/HOU/ECT@ECT, Chris H Foster/ENRON@enronXgate, Doug Gilbert-Smith/Corp/Enron@ENRON, Orlando Gonzalez/SA/Enron@Enron, Mark E Haedicke/HOU/ECT@ECT, Rogers Herndon/HOU/ECT@ect, Ben Jacoby/HOU/ECT@ECT, Scott Josey/ENRON@enronXgate, Joe Kishkill/SA/Enron@Enron, Kyle Kitagawa/CAL/ECT@ECT, Fred Lagrasta/ENRON@enronXgate, John J Lavorato/ENRON@enronXgate, Eric LeDain/CAL/ECT@ECT, Laura Luce/Corp/Enron@Enron, Thomas A Martin/ENRON@enronXgate, Jonathan McKay/CAL/ECT@ECT, Don Miller/ENRON@enronXgate, Michael L Miller/ENRON@enronXgate, Rob Milnthorp/CAL/ECT@ECT, Jean Mrha/ENRON@enronXgate, Scott Neal/HOU/ECT@ECT, David Oxley/ENRON@enronXgate, David Parquet/SF/ECT@ECT, Beth Perlman/ENRON@enronXgate, Kevin M Presto/HOU/ECT@ECT, Brian Redmond/ENRON@enronXgate, Hunter S Shively/ENRON@enronXgate, Fletcher J Sturm/HOU/ECT@ECT, Mike Swerzbin/ENRON@enronxgate, C John Thompson/ENRON@enronXgate, Carl Tricoli/Corp/Enron@Enron, Barry Tycholiz/NA/Enron@ENRON, Frank W Vickers/NA/Enron@Enron, Brett R Wiggs/SA/Enron@Enron, Greg Wolfe/ENRON@enronXgate, Max Yzaguirre/NA/Enron@ENRON, John Zufferli/CAL/ECT@ECT
cc: Louise Kitchen/HOU/ECT@ECT
Subject:
Hello everyone.
In December we decided to kill our planned offsite due to market volatility. Louise and I would like to get everyone together offsite, probably in late June (once Louise is back from holiday (just kidding)). I think it's time to go have a little fun with the group driving Enron's success.
I would like suggestions as to:
1) Where to go.
2) What should be the focus of the business meetings.
3) Should we have business meetings or should we do something else (ie. climb a mountain)? I'm not a strong bid on climbing a mountain.
4) And any other ideas you have.
In addition I would like to start having staff meetings about once a month. The first one will be Friday May 11th at 2:30 p.m. Please add this to your schedule. I have invited everyone who has P/L responsibility. Portland, Calgary and Toronto will have to be on Video or Phone conference.
Regards
John. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_net_worth, item_3_gross_worth, item_4_net_price, item_5_gross_worth, total_net_worth, item_4_net_worth, MO 19856, total_gross_worth, client_tax_id, item_2_desc, item_1_qty.
This is the Text: ice_no 26675003 invoice_date 10/24/2012 seller Wright-Lucas 602 Lisa Mews Suite 300 Livingstonton VT 48889 client Hayes Inc 959 Michael Ridges Carterhaven MO 19856 seller_tax_id 946-79-2529 client_tax_id 966-87-8299 iban GB92UKUV22836497179015 item_1_desc How to Get an Asian Girlfriend by Derek Strong (English) Paperback Book Free Shi item_1_qty 3 item_1_net_price CHF15.44 item_1_net_worth CHF46.32 item_1_vat 10% item_1_gross_worth CHF50.95 item_2_desc A boy who grew up eating nightmare It's Okay to Not Be Okay Picturebook 00000000 item_2_qty 2 item_2_net_price CHF19.50 item_2_net_worth 39 item_2_vat 10% item_2_gross_worth CHF42.90 item_3_desc The Graphic Design Reference & Specification Book Everything Graphic Designers item_3_qty 2 item_3_net_price CHF20.18 item_3_net_worth CHF40.36 item_3_vat 10% item_3_gross_worth CHF44.40 item_4_desc Language and Woman's Place by Robin Lakoff item_4_qty 4 item_4_net_price CHF4.09 item_4_net_worth CHF16.36 item_4_vat 10% item_4_gross_worth 18 item_5_desc American Zoos item_5_qty 4 item_5_net_price CHF4.89 item_5_net_worth CHF19.56 item_5_vat 10% item_5_gross_worth CHF21.52 total_net_worth CHF161.60 total_vat CHF16.16 total_gross_worth CHF177.76.
### Response: {'Parameters': ['item_5_net_worth', 'item_3_gross_worth', 'item_4_net_price', 'item_5_gross_worth', 'total_net_worth', 'item_4_net_worth', 'total_gross_worth', 'client_tax_id', 'item_2_desc', 'item_1_qty'], 'Values': ['CHF19.56', 'CHF44.40', 'CHF4.09', 'CHF21.52', 'CHF161.60', 'CHF16.36', 'CHF177.76', '966-87-8299', "A boy who grew up eating nightmare It's Okay to Not Be Okay Picturebook 00000000", '3']} | {'Parameters': ['item_5_net_worth', 'item_3_gross_worth', 'item_4_net_price', 'item_5_gross_worth', 'total_net_worth', 'item_4_net_worth', 'total_gross_worth', 'client_tax_id', 'item_2_desc', 'item_1_qty'], 'Values': ['CHF19.56', 'CHF44.40', 'CHF4.09', 'CHF21.52', 'CHF161.60', 'CHF16.36', 'CHF177.76', '966-87-8299', "A boy who grew up eating nightmare It's Okay to Not Be Okay Picturebook 00000000", '3']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_net_worth, item_3_gross_worth, item_4_net_price, item_5_gross_worth, total_net_worth, item_4_net_worth, MO 19856, total_gross_worth, client_tax_id, item_2_desc, item_1_qty.
This is the Text: ice_no 26675003 invoice_date 10/24/2012 seller Wright-Lucas 602 Lisa Mews Suite 300 Livingstonton VT 48889 client Hayes Inc 959 Michael Ridges Carterhaven MO 19856 seller_tax_id 946-79-2529 client_tax_id 966-87-8299 iban GB92UKUV22836497179015 item_1_desc How to Get an Asian Girlfriend by Derek Strong (English) Paperback Book Free Shi item_1_qty 3 item_1_net_price CHF15.44 item_1_net_worth CHF46.32 item_1_vat 10% item_1_gross_worth CHF50.95 item_2_desc A boy who grew up eating nightmare It's Okay to Not Be Okay Picturebook 00000000 item_2_qty 2 item_2_net_price CHF19.50 item_2_net_worth 39 item_2_vat 10% item_2_gross_worth CHF42.90 item_3_desc The Graphic Design Reference & Specification Book Everything Graphic Designers item_3_qty 2 item_3_net_price CHF20.18 item_3_net_worth CHF40.36 item_3_vat 10% item_3_gross_worth CHF44.40 item_4_desc Language and Woman's Place by Robin Lakoff item_4_qty 4 item_4_net_price CHF4.09 item_4_net_worth CHF16.36 item_4_vat 10% item_4_gross_worth 18 item_5_desc American Zoos item_5_qty 4 item_5_net_price CHF4.89 item_5_net_worth CHF19.56 item_5_vat 10% item_5_gross_worth CHF21.52 total_net_worth CHF161.60 total_vat CHF16.16 total_gross_worth CHF177.76. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient, Inquiry Source, Desired Experience, Experience Application, Job Position, Company.
This is the Text: Richard,
I have made discreet inquiries at Rice and it seems they are looking for somebody
with a different profile than the one you represent. I think that the interest is more
in a person with more financial institution risk management experience, with special applications
to trading and energy trading in particular.
Vince
-----Original Message-----
From: "Richard MacMinn" <macminnr@uts.cc.utexas.edu>@ENRON [mailto:IMCEANOTES-+22Richard+20MacMinn+22+20+3Cmacminnr+40uts+2Ecc+2Eutexas+2Eedu+3E+40ENRON@ENRON.com]
Sent: Thursday, August 23, 2001 2:39 PM
To: vkamins@ect.enron.com
Subject: Enron chair at Rice
Dear Vince
I recently saw an announcement of Enron's risk management chair at Rice
University. Do you know about it or the people at Rice? While I'm having a
great time working with Swiss Re here, I am thinking about coming home for
my wife's sake. Do you think that Rice would be open to a person in risk
management with an insurance as well as a finance background? That was
certainly not true at Texas and that's why I'm asking.
I hope all is well there with you. I did appreciate your presentation to my
finance classes there at the University of Texas a couple of years ago. I
also appreciated the assistance that you recently gave one of my Texas Ph.
D. students. He was and I still am working on pricing weather derivatives.
Best regards
Richard
Professor Richard MacMinn, Editor
The Journal of Risk and Insurance
The Swiss Re Chair in the Management of Risk
Centre for Risk and Insurance Studies
Nottingham University Business School
Jubilee Campus, Wollaton Road
Nottingham, NG8 1BB
United Kingdom
JRI Office: +1 512 471-0018
Nottingham Office: +44 115 846-6679
eFax: +1 305 768-0522
Nottingham eFax: +44 870 134-0932
Journal: mailto:jri1@uts.cc.utexas.edu
Editor: mailto:macminnr@uts.cc.utexas.edu
Other: mailto:richard.macminn@nottingham.ac.uk
Journal of Risk and Insurance: http://www.aria.org/jri/jri.asp
Vita: http://www.aria.org/macminn/
The only thing necessary for the triumph of evil is for good men to do
nothing. Edmund Burke
- winmail.dat << File: winmail.dat >>.
### Response: {"Parameters": ["Recipient", "Inquiry Source", "Desired Experience", "Experience Application", "Job Position", "Company"], "Values": ["Vince", "Rice", "financial institution risk management", "trading and energy trading", "Enron's risk management chair", "Rice University"]} | {"Parameters": ["Recipient", "Inquiry Source", "Desired Experience", "Experience Application", "Job Position", "Company"], "Values": ["Vince", "Rice", "financial institution risk management", "trading and energy trading", "Enron's risk management chair", "Rice University"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient, Inquiry Source, Desired Experience, Experience Application, Job Position, Company.
This is the Text: Richard,
I have made discreet inquiries at Rice and it seems they are looking for somebody
with a different profile than the one you represent. I think that the interest is more
in a person with more financial institution risk management experience, with special applications
to trading and energy trading in particular.
Vince
-----Original Message-----
From: "Richard MacMinn" <macminnr@uts.cc.utexas.edu>@ENRON [mailto:IMCEANOTES-+22Richard+20MacMinn+22+20+3Cmacminnr+40uts+2Ecc+2Eutexas+2Eedu+3E+40ENRON@ENRON.com]
Sent: Thursday, August 23, 2001 2:39 PM
To: vkamins@ect.enron.com
Subject: Enron chair at Rice
Dear Vince
I recently saw an announcement of Enron's risk management chair at Rice
University. Do you know about it or the people at Rice? While I'm having a
great time working with Swiss Re here, I am thinking about coming home for
my wife's sake. Do you think that Rice would be open to a person in risk
management with an insurance as well as a finance background? That was
certainly not true at Texas and that's why I'm asking.
I hope all is well there with you. I did appreciate your presentation to my
finance classes there at the University of Texas a couple of years ago. I
also appreciated the assistance that you recently gave one of my Texas Ph.
D. students. He was and I still am working on pricing weather derivatives.
Best regards
Richard
Professor Richard MacMinn, Editor
The Journal of Risk and Insurance
The Swiss Re Chair in the Management of Risk
Centre for Risk and Insurance Studies
Nottingham University Business School
Jubilee Campus, Wollaton Road
Nottingham, NG8 1BB
United Kingdom
JRI Office: +1 512 471-0018
Nottingham Office: +44 115 846-6679
eFax: +1 305 768-0522
Nottingham eFax: +44 870 134-0932
Journal: mailto:jri1@uts.cc.utexas.edu
Editor: mailto:macminnr@uts.cc.utexas.edu
Other: mailto:richard.macminn@nottingham.ac.uk
Journal of Risk and Insurance: http://www.aria.org/jri/jri.asp
Vita: http://www.aria.org/macminn/
The only thing necessary for the triumph of evil is for good men to do
nothing. Edmund Burke
- winmail.dat << File: winmail.dat >>. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Company Name, Effective Date, Activity, Affiliate, Disclosing Party, Confidential Information.
This is the Text: Premise: No. NON-DISCLOSURE AGREEMENT This Non-Disclosure Agreement (“Agreement”) is made between: Name of Company: Raffles Translation Services 71 Jurong West Central 3, #07-17, The Address: Centris, Singapore 648335 Tel: Tel: 6570 6028 (“Company”) (“Vendor”) (hereinafter individually known as “Party” and collectively known as “Parties”) This Agreement shall be effective from [DATE]. Company and Vendor agree as follows: 1. Definitions (a) “Activity” means the work undertaken and/or to be undertaken by the Vendor pursuant to the Vendor’s engagement by the Company. (b) “Affiliate” of a Party means any corporation or other entity that a Party directly or indirectly controls, or is controlled by or is under common control with. In this context, a Party “controls” a corporation or other entity if it owns fifty percent (50%) or more of the voting rights for the board of directors or other mechanism of control for the corporation or other entity. (c) “Confidential Information” refers to all non-public information concerning itself, its affiliates and subsidiaries, which may include, but is not limited to (i) all discussions between the Company and Vendor pursuant to and relating to the Activity, (ii) any business, marketing, human resource, financial, technical, scientific or other information in tangible or intangible form, disclosed by one Party (including its Affiliates) (hereinafter known as the “Disclosing Party”) to the other Party (including its Affiliates) (hereinafter known as the “Receiving Party”) which, at the time of disclosure is designated as confidential (or like designation), is disclosed in circumstances of confidence, or would be understood by the Parties (or its Affiliates) exercising reasonable business judgment, to be confidential, specifically including the Parties’ business, finances, operations, including projections and analysis, business plans, service delivery concepts, technical know-how, patent applications, staff strength, staff records, payroll, customer lists,
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees..
### Response: {"Parameters": ["Company Name", "Effective Date", "Activity", "Affiliate", "Disclosing Party", "Confidential Information"], "Values": ["Raffles Translation Services", "[DATE]", "the work undertaken and/or to be undertaken by the Vendor pursuant to the Vendor\u2019s engagement by the Company", "any corporation or other entity that a Party directly or indirectly controls, or is controlled by or is under common control with", "one Party (including its Affiliates)", "all non-public information concerning itself, its affiliates and subsidiaries, which may include, but is not limited to (i) all discussions between the Company and Vendor pursuant to and relating to the Activity, (ii) any business, marketing, human resource, financial, technical, scientific or other information in tangible or intangible form disclosed by one Party (including its Affiliates) to the other Party (including its Affiliates) which, at the time of disclosure is designated as confidential (or like designation), is disclosed in circumstances of confidence, or would be understood by the Parties (or its Affiliates) exercising reasonable business judgment, to be confidential, specifically including the Parties\u2019 business, finances, operations, including projections and analysis, business plans, service delivery concepts, technical know-how, patent applications, staff strength, staff records, payroll, customer lists"]} | {"Parameters": ["Company Name", "Effective Date", "Activity", "Affiliate", "Disclosing Party", "Confidential Information"], "Values": ["Raffles Translation Services", "[DATE]", "the work undertaken and/or to be undertaken by the Vendor pursuant to the Vendor\u2019s engagement by the Company", "any corporation or other entity that a Party directly or indirectly controls, or is controlled by or is under common control with", "one Party (including its Affiliates)", "all non-public information concerning itself, its affiliates and subsidiaries, which may include, but is not limited to (i) all discussions between the Company and Vendor pursuant to and relating to the Activity, (ii) any business, marketing, human resource, financial, technical, scientific or other information in tangible or intangible form disclosed by one Party (including its Affiliates) to the other Party (including its Affiliates) which, at the time of disclosure is designated as confidential (or like designation), is disclosed in circumstances of confidence, or would be understood by the Parties (or its Affiliates) exercising reasonable business judgment, to be confidential, specifically including the Parties\u2019 business, finances, operations, including projections and analysis, business plans, service delivery concepts, technical know-how, patent applications, staff strength, staff records, payroll, customer lists"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Company Name, Effective Date, Activity, Affiliate, Disclosing Party, Confidential Information.
This is the Text: Premise: No. NON-DISCLOSURE AGREEMENT This Non-Disclosure Agreement (“Agreement”) is made between: Name of Company: Raffles Translation Services 71 Jurong West Central 3, #07-17, The Address: Centris, Singapore 648335 Tel: Tel: 6570 6028 (“Company”) (“Vendor”) (hereinafter individually known as “Party” and collectively known as “Parties”) This Agreement shall be effective from [DATE]. Company and Vendor agree as follows: 1. Definitions (a) “Activity” means the work undertaken and/or to be undertaken by the Vendor pursuant to the Vendor’s engagement by the Company. (b) “Affiliate” of a Party means any corporation or other entity that a Party directly or indirectly controls, or is controlled by or is under common control with. In this context, a Party “controls” a corporation or other entity if it owns fifty percent (50%) or more of the voting rights for the board of directors or other mechanism of control for the corporation or other entity. (c) “Confidential Information” refers to all non-public information concerning itself, its affiliates and subsidiaries, which may include, but is not limited to (i) all discussions between the Company and Vendor pursuant to and relating to the Activity, (ii) any business, marketing, human resource, financial, technical, scientific or other information in tangible or intangible form, disclosed by one Party (including its Affiliates) (hereinafter known as the “Disclosing Party”) to the other Party (including its Affiliates) (hereinafter known as the “Receiving Party”) which, at the time of disclosure is designated as confidential (or like designation), is disclosed in circumstances of confidence, or would be understood by the Parties (or its Affiliates) exercising reasonable business judgment, to be confidential, specifically including the Parties’ business, finances, operations, including projections and analysis, business plans, service delivery concepts, technical know-how, patent applications, staff strength, staff records, payroll, customer lists,
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient Phone Number, Document Names, Document Types, Escrow Agent, Escrow Funding Date, Law Firm.
This is the Text: I suspect that Chris Calger will be signing the certificate instead of Janet
Dietrich. Please use my cell phone (713 304 8716).
"Campbell, Carolyn" <CCampbell@KSLAW.com> on 04/17/2001 10:34:24 AM
To: "Lang, Gregory F." <gregorylang@paulhastings.com>, "'Staikos, John P.'"
<johnstaikos@paulhastings.com>, "'PARKER, Isabel'"
<isabel.parker@freshfields.com>, "VAN DUSEN, Nicholas"
<nicholas.vandusen@freshfields.com>
cc: "'kay.mann@enron.com'" <kay.mann@enron.com>, "'carlos.sole@enron.com'"
<carlos.sole@enron.com>, "Keffer, John" <JKeffer@KSLAW.com>
Subject: Certificates and Resolutions
Gentlemen:
We have enclosed drafts of the following documents:
1. Resolutions of sole member of Salmon Energy LLC authorizing the turbine
acquisition and related documents;
2. Incumbency Certificate of ENA for the escrow agent; and
3. Incumbency Certificate of PPL for the escrow agent.
The resolutions authorize the turbine contract, the loan from PPL, and the
G/E consent and agreement. I have also drafted resolutions to be dated the
day following closing to elect as directors the persons named in the Amended
and Restated LLC Agreement (need the names of these persons - three
designees of PPL and one designee of ENA) and to replace the officers of the
LLC with persons designated by PPL. If the lender desires Salmon
resolutions authorizing a security agreement to be signed by Salmon, we
would recommend that the new Salmon board controlled by PPL sign resolutions
ratifying and approving the security agreement, rather than have ENA approve
a security agreement that it has not negotiated and is not familiar with.
From a timing standpoint, we need to focus on the documentation required to
set up the escrow account, as I understand that the escrow may be funded on
the same day as the financial closing, namely, Thursday, April 19. Citibank
will need (I) the escrow agreement, (ii) an incumbency certificate from each
party to the escrow agreement, (iii) a W-9 signed by each non-corporate
party to the escrow agreement, and (iv) a signed fee agreement. The
incumbency certificates are enclosed. Please insert names and other
information as appropriate. We need comments to the Escrow Agreement in as
soon as possible in order that we can provide these documents to Citibank
for approval.
Thank you.
Carolyn M. Campbell
King?& Spalding
713-276-7307 (phone)
713-751-3280 (fax)
ccampbell@kslaw.com <mailto:ccampbell@kslaw.com>
Enclosures: 137061v3
140106v1
140109v1
Confidentiality Notice
This message is being sent by or on behalf of a lawyer. It is intended
exclusively for the individual or entity to which it is addressed. This
communication may contain information that is proprietary, privileged or
confidential or otherwise legally exempt from disclosure. If you are not the
named addressee, you are not authorized to read, print, retain, copy or
disseminate this message or any part of it. If you have received this
message in error, please notify the sender immediately by e-mail and delete
all copies of the message.
- Salmon - Resolutions of LLC.DOC
- Enron Incumbency Cert for Escrow.DOC
- Pegasus Incumbency Certif for Escrow.DOC.
### Response: {"Parameters": ["Recipient Phone Number", "Document Names", "Document Types", "Escrow Agent", "Escrow Funding Date", "Law Firm"], "Values": ["713 304 8716", "Salmon Resolutions of LLC.DOC, Enron Incumbency Cert for Escrow.DOC, Pegasus Incumbency Certif for Escrow.DOC", "Legal Documents, Certificates", "Citibank", "Thursday, April 19", "King & Spalding"]} | {"Parameters": ["Recipient Phone Number", "Document Names", "Document Types", "Escrow Agent", "Escrow Funding Date", "Law Firm"], "Values": ["713 304 8716", "Salmon Resolutions of LLC.DOC, Enron Incumbency Cert for Escrow.DOC, Pegasus Incumbency Certif for Escrow.DOC", "Legal Documents, Certificates", "Citibank", "Thursday, April 19", "King & Spalding"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient Phone Number, Document Names, Document Types, Escrow Agent, Escrow Funding Date, Law Firm.
This is the Text: I suspect that Chris Calger will be signing the certificate instead of Janet
Dietrich. Please use my cell phone (713 304 8716).
"Campbell, Carolyn" <CCampbell@KSLAW.com> on 04/17/2001 10:34:24 AM
To: "Lang, Gregory F." <gregorylang@paulhastings.com>, "'Staikos, John P.'"
<johnstaikos@paulhastings.com>, "'PARKER, Isabel'"
<isabel.parker@freshfields.com>, "VAN DUSEN, Nicholas"
<nicholas.vandusen@freshfields.com>
cc: "'kay.mann@enron.com'" <kay.mann@enron.com>, "'carlos.sole@enron.com'"
<carlos.sole@enron.com>, "Keffer, John" <JKeffer@KSLAW.com>
Subject: Certificates and Resolutions
Gentlemen:
We have enclosed drafts of the following documents:
1. Resolutions of sole member of Salmon Energy LLC authorizing the turbine
acquisition and related documents;
2. Incumbency Certificate of ENA for the escrow agent; and
3. Incumbency Certificate of PPL for the escrow agent.
The resolutions authorize the turbine contract, the loan from PPL, and the
G/E consent and agreement. I have also drafted resolutions to be dated the
day following closing to elect as directors the persons named in the Amended
and Restated LLC Agreement (need the names of these persons - three
designees of PPL and one designee of ENA) and to replace the officers of the
LLC with persons designated by PPL. If the lender desires Salmon
resolutions authorizing a security agreement to be signed by Salmon, we
would recommend that the new Salmon board controlled by PPL sign resolutions
ratifying and approving the security agreement, rather than have ENA approve
a security agreement that it has not negotiated and is not familiar with.
From a timing standpoint, we need to focus on the documentation required to
set up the escrow account, as I understand that the escrow may be funded on
the same day as the financial closing, namely, Thursday, April 19. Citibank
will need (I) the escrow agreement, (ii) an incumbency certificate from each
party to the escrow agreement, (iii) a W-9 signed by each non-corporate
party to the escrow agreement, and (iv) a signed fee agreement. The
incumbency certificates are enclosed. Please insert names and other
information as appropriate. We need comments to the Escrow Agreement in as
soon as possible in order that we can provide these documents to Citibank
for approval.
Thank you.
Carolyn M. Campbell
King?& Spalding
713-276-7307 (phone)
713-751-3280 (fax)
ccampbell@kslaw.com <mailto:ccampbell@kslaw.com>
Enclosures: 137061v3
140106v1
140109v1
Confidentiality Notice
This message is being sent by or on behalf of a lawyer. It is intended
exclusively for the individual or entity to which it is addressed. This
communication may contain information that is proprietary, privileged or
confidential or otherwise legally exempt from disclosure. If you are not the
named addressee, you are not authorized to read, print, retain, copy or
disseminate this message or any part of it. If you have received this
message in error, please notify the sender immediately by e-mail and delete
all copies of the message.
- Salmon - Resolutions of LLC.DOC
- Enron Incumbency Cert for Escrow.DOC
- Pegasus Incumbency Certif for Escrow.DOC. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Email Sender, Email Recipient, Date of email, Website, Number of new stocks, Total number of stocks, Affiliate program website, Credit Union Partners websites, Insurance Company Partner, Customer Care Hours.
This is the Text: ----- Forwarded by Sara Shackleton/HOU/ECT on 08/11/2000 11:45 AM -----
"Jeff Seely" <JeffSeely_008118@netstock.customer-email.com>
08/10/2000 11:37 PM
To: <sshackl@enron.com>
cc:
Subject: ShareBuilder News - Aug 2000
Dear Sara,
EXCITING UPDATES WITH SHAREBUILDER!
Last month I told you about some exciting things happening here with
ShareBuilder. Have you noticed it on our site yet? We've just added over
1,000 new stocks for a grand total that tops 3,000! There's never been a
better time to consider adding new stocks or index shares to your plan. Visit
http://www.sharebuilder.com and click on "ShareBuilder Stock List" today to
checkout the complete list.
Now you can make dollar-based investments in some of these new stocks.
Here's an example of a few with names you may recognize:
Bally Total Fitness Holdings BFT
Comcast Corporation CMCSA
Loral Space & Communications LOR
Nabisco Group Holdings NGH
Neiman Marcus Group NMG B
Pepsi Americas PAS
Petco Animal Supplies, Inc. PETC
Readers Digest Association RDB
Register.com Incorporated RCOM
Revlon Incorporated REV
Tommy Hilfiger Corporation TOM
Viacom Incorporated VIA
SHAREBUILDER.COM AFFILIATE PROGRAM:
Another exciting addition you might have noticed recently is our new
ShareBuilder Affiliate Program. Web portal sites that qualify to become
affiliates will be able to share the benefits of ShareBuilder with visitors,
and receive compensation. If you have a business or work for a company that
has a web portal site and would like to provide a great investment tool for
your visitors, your organization can apply to become a ShareBuilder
Affiliate. To find out more about our affiliate program, visit
ShareBuilder.com and click on "Become an Affiliate".
CREDIT UNION PARTNERS:
I'm also pleased to tell you that we've partnered with many credit unions
over the last few months - we now have dozens of credit union partners. These
partnerships let credit union members take care of all of their finances from
a single online source - from balancing checkbooks, to making mortgage
payments, and now watching long-term investments grow through ShareBuilder.
Two of our most recent credit union partners are among the biggest in the
nation: Boeing Employees Credit Union and The Golden 1 Credit Union. If
you're a member of either, look for ShareBuilder on these sites: becu.org and
golden1.com.
SAFECO PARTNERSHIP:
We also have entered into a partnership with SAFECO Corporation, one of the
leading insurance companies in the U.S. and a Fortune 500 company. We
launched the SAFECO ShareBuilder last month, which is now available to direct
investors in its mutual funds at safecofunds.com. This is the first
relationship we have announced with a major insurance company and are
delighted to be associated with SAFECO, both as a partner and as a major
private investor in our company.
CUSTOMER CARE:
If you have any questions regarding your account or ShareBuilder plan, feel
free to contact one of our customer care agents via email at
mailto:customercare@netstock.com or call us toll-free at 1-888-NET-STOK
between the hours of 6 AM and 6 PM Pacific Time Monday through Friday.
Best regards,
Jeff Seely President and CEO
Netstock Direct Corporation
P.S. You are receiving this e-mail because you have a ShareBuilder or
Netstock Direct Account setup with us. You may unsubscribe, update or change
your e-mail preferences, by visiting the "Account" section of the
ShareBuilder site at http://www.sharebuilder.com or if you are a Netstock
Direct customer at netstockdirect.com.
ShareBuilder(tm) is brought to you by Netstock Investment Corporation, a
registered broker-dealer and a member of the NASD and SIPC.
This email was sent to: sshackl@enron.com.
### Response: {"Parameters": ["Email Sender", "Email Recipient", "Date of email", "Website", "Number of new stocks", "Total number of stocks", "Affiliate program website", "Credit Union Partners websites", "Insurance Company Partner", "Customer Care Hours"], "Values": [" Jeff Seely <JeffSeely_008118@netstock.customer-email.com>", "Sara Shackleton/HOU/ECT", "08/11/2000 11:45 AM", "http://www.sharebuilder.com", "over 1,000", "3,000", "ShareBuilder.com", "becu.org and golden1.com", "SAFECO Corporation", "6 AM and 6 PM Pacific Time Monday through Friday"]} | {"Parameters": ["Email Sender", "Email Recipient", "Date of email", "Website", "Number of new stocks", "Total number of stocks", "Affiliate program website", "Credit Union Partners websites", "Insurance Company Partner", "Customer Care Hours"], "Values": [" Jeff Seely <JeffSeely_008118@netstock.customer-email.com>", "Sara Shackleton/HOU/ECT", "08/11/2000 11:45 AM", "http://www.sharebuilder.com", "over 1,000", "3,000", "ShareBuilder.com", "becu.org and golden1.com", "SAFECO Corporation", "6 AM and 6 PM Pacific Time Monday through Friday"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Email Sender, Email Recipient, Date of email, Website, Number of new stocks, Total number of stocks, Affiliate program website, Credit Union Partners websites, Insurance Company Partner, Customer Care Hours.
This is the Text: ----- Forwarded by Sara Shackleton/HOU/ECT on 08/11/2000 11:45 AM -----
"Jeff Seely" <JeffSeely_008118@netstock.customer-email.com>
08/10/2000 11:37 PM
To: <sshackl@enron.com>
cc:
Subject: ShareBuilder News - Aug 2000
Dear Sara,
EXCITING UPDATES WITH SHAREBUILDER!
Last month I told you about some exciting things happening here with
ShareBuilder. Have you noticed it on our site yet? We've just added over
1,000 new stocks for a grand total that tops 3,000! There's never been a
better time to consider adding new stocks or index shares to your plan. Visit
http://www.sharebuilder.com and click on "ShareBuilder Stock List" today to
checkout the complete list.
Now you can make dollar-based investments in some of these new stocks.
Here's an example of a few with names you may recognize:
Bally Total Fitness Holdings BFT
Comcast Corporation CMCSA
Loral Space & Communications LOR
Nabisco Group Holdings NGH
Neiman Marcus Group NMG B
Pepsi Americas PAS
Petco Animal Supplies, Inc. PETC
Readers Digest Association RDB
Register.com Incorporated RCOM
Revlon Incorporated REV
Tommy Hilfiger Corporation TOM
Viacom Incorporated VIA
SHAREBUILDER.COM AFFILIATE PROGRAM:
Another exciting addition you might have noticed recently is our new
ShareBuilder Affiliate Program. Web portal sites that qualify to become
affiliates will be able to share the benefits of ShareBuilder with visitors,
and receive compensation. If you have a business or work for a company that
has a web portal site and would like to provide a great investment tool for
your visitors, your organization can apply to become a ShareBuilder
Affiliate. To find out more about our affiliate program, visit
ShareBuilder.com and click on "Become an Affiliate".
CREDIT UNION PARTNERS:
I'm also pleased to tell you that we've partnered with many credit unions
over the last few months - we now have dozens of credit union partners. These
partnerships let credit union members take care of all of their finances from
a single online source - from balancing checkbooks, to making mortgage
payments, and now watching long-term investments grow through ShareBuilder.
Two of our most recent credit union partners are among the biggest in the
nation: Boeing Employees Credit Union and The Golden 1 Credit Union. If
you're a member of either, look for ShareBuilder on these sites: becu.org and
golden1.com.
SAFECO PARTNERSHIP:
We also have entered into a partnership with SAFECO Corporation, one of the
leading insurance companies in the U.S. and a Fortune 500 company. We
launched the SAFECO ShareBuilder last month, which is now available to direct
investors in its mutual funds at safecofunds.com. This is the first
relationship we have announced with a major insurance company and are
delighted to be associated with SAFECO, both as a partner and as a major
private investor in our company.
CUSTOMER CARE:
If you have any questions regarding your account or ShareBuilder plan, feel
free to contact one of our customer care agents via email at
mailto:customercare@netstock.com or call us toll-free at 1-888-NET-STOK
between the hours of 6 AM and 6 PM Pacific Time Monday through Friday.
Best regards,
Jeff Seely President and CEO
Netstock Direct Corporation
P.S. You are receiving this e-mail because you have a ShareBuilder or
Netstock Direct Account setup with us. You may unsubscribe, update or change
your e-mail preferences, by visiting the "Account" section of the
ShareBuilder site at http://www.sharebuilder.com or if you are a Netstock
Direct customer at netstockdirect.com.
ShareBuilder(tm) is brought to you by Netstock Investment Corporation, a
registered broker-dealer and a member of the NASD and SIPC.
This email was sent to: sshackl@enron.com. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_worth, item_1_net_price, ice_no, client, CO 07903, client_tax_id, invoice_date, total_gross_worth, total_vat, ND 48117, item_1_gross_worth.
This is the Text: ice_no 60178633 invoice_date 12/25/2013 seller Mendoza Group 40007 Brown Creek South Meredithburgh ND 48117 client Elliott Kelly and Warren 70134 Bridges Plains Priceton CO 07903 seller_tax_id 900-78-2621 client_tax_id 939-81-7319 iban GB36JYKL45599075785785 item_1_desc Confetti Stemless Wine Drink Glass Multi Green & Blue TAG FREE SHIPPING item_1_qty 5 item_1_net_price CHF23.99 item_1_net_worth CHF119.95 item_1_vat 10% item_1_gross_worth CHF131.94 total_net_worth CHF119.95 total_vat CHF11.99 total_gross_worth CHF131.94.
### Response: {'Parameters': ['item_1_net_worth', 'item_1_net_price', 'ice_no', 'client', 'client_tax_id', 'invoice_date', 'total_gross_worth', 'total_vat', 'item_1_gross_worth'], 'Values': ['CHF119.95', 'CHF23.99', '60178633', 'Elliott', '939-81-7319', '12/25/2013', 'CHF131.94', 'CHF11.99', 'CHF131.94']} | {'Parameters': ['item_1_net_worth', 'item_1_net_price', 'ice_no', 'client', 'client_tax_id', 'invoice_date', 'total_gross_worth', 'total_vat', 'item_1_gross_worth'], 'Values': ['CHF119.95', 'CHF23.99', '60178633', 'Elliott', '939-81-7319', '12/25/2013', 'CHF131.94', 'CHF11.99', 'CHF131.94']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_net_worth, item_1_net_price, ice_no, client, CO 07903, client_tax_id, invoice_date, total_gross_worth, total_vat, ND 48117, item_1_gross_worth.
This is the Text: ice_no 60178633 invoice_date 12/25/2013 seller Mendoza Group 40007 Brown Creek South Meredithburgh ND 48117 client Elliott Kelly and Warren 70134 Bridges Plains Priceton CO 07903 seller_tax_id 900-78-2621 client_tax_id 939-81-7319 iban GB36JYKL45599075785785 item_1_desc Confetti Stemless Wine Drink Glass Multi Green & Blue TAG FREE SHIPPING item_1_qty 5 item_1_net_price CHF23.99 item_1_net_worth CHF119.95 item_1_vat 10% item_1_gross_worth CHF131.94 total_net_worth CHF119.95 total_vat CHF11.99 total_gross_worth CHF131.94. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Party 2 Name, Party 2 Registered Office, Purpose of Information Exchange, Authorized Disclosure, Patients' Welfare, Criminal Liability.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT THIS AGREEMENT is made on the _________ day of _______________ 2015 between _________________________________________, a company incorporated in the Republic of Singapore and having its registered office at ______________________________________________________________, (hereinafter referred to as “the Company”) of the one part and ALEXANDRA HEALTH PTE LTD, a company incorporated in the Republic of Singapore and having its registered office at 90 YISHUN CENTRAL SINGAPORE 768828 (hereinafter referred to as “AHPL”) of the other part. WHEREAS: (A) The parties, for their mutual benefit, may have exchanged and wish to further exchange certain information, including but not limited to, trade secrets and proprietary know-how in order that each of them may evaluate such information for the purpose of determining their respective interests in establishing a business relationship between them. (B) The parties wish to define their rights with respect to the said information and to protect the confidentiality thereof and proprietary features contained therein. (C) The Company acknowledges that all information or data relating to the Purpose whether in writing, orally or by any other means if disclosed (whether directly or indirectly) to a third (3rd) party without the express authorization of AHPL is highly confidential and would have a detrimental effect on the business of AHPL, and that its disclosure could not only expose AHPL to liability but also to judicial sanctions and that such disclosure might also adversely affect AHPL’s patients and under certain circumstances, disclosure by the Company could expose the Company to criminal prosecution. In consideration of being made privy to the Confidential Information, the Company hereby agrees to observe and be bound by the terms of the Agreement. (D) The Company acknowledges that all information or data relating to Purpose also applies to any organisation/institution that is related to AHPL (i) either by reason of AHPL directly or indirectly controlling the organisation/institution; (ii) by reason of both AHPL and organisation/institution being controlled by
Hypothesis: Receiving Party shall not disclose the fact that Agreement was agreed or negotiated..
### Response: {"Parameters": ["Party 2 Name", "Party 2 Registered Office", "Purpose of Information Exchange", "Authorized Disclosure", "Patients' Welfare", "Criminal Liability"], "Values": ["ALEXANDRA HEALTH PTE LTD", "90 YISHUN CENTRAL SINGAPORE 768828", "Evaluation of Information for Business Relationship", "Express Authorization Required for Disclosure", "Adverse Affect on AHPL's Patients", "Exposure to Criminal Prosecution"]} | {"Parameters": ["Party 2 Name", "Party 2 Registered Office", "Purpose of Information Exchange", "Authorized Disclosure", "Patients' Welfare", "Criminal Liability"], "Values": ["ALEXANDRA HEALTH PTE LTD", "90 YISHUN CENTRAL SINGAPORE 768828", "Evaluation of Information for Business Relationship", "Express Authorization Required for Disclosure", "Adverse Affect on AHPL's Patients", "Exposure to Criminal Prosecution"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Party 2 Name, Party 2 Registered Office, Purpose of Information Exchange, Authorized Disclosure, Patients' Welfare, Criminal Liability.
This is the Text: Premise: NON-DISCLOSURE AGREEMENT THIS AGREEMENT is made on the _________ day of _______________ 2015 between _________________________________________, a company incorporated in the Republic of Singapore and having its registered office at ______________________________________________________________, (hereinafter referred to as “the Company”) of the one part and ALEXANDRA HEALTH PTE LTD, a company incorporated in the Republic of Singapore and having its registered office at 90 YISHUN CENTRAL SINGAPORE 768828 (hereinafter referred to as “AHPL”) of the other part. WHEREAS: (A) The parties, for their mutual benefit, may have exchanged and wish to further exchange certain information, including but not limited to, trade secrets and proprietary know-how in order that each of them may evaluate such information for the purpose of determining their respective interests in establishing a business relationship between them. (B) The parties wish to define their rights with respect to the said information and to protect the confidentiality thereof and proprietary features contained therein. (C) The Company acknowledges that all information or data relating to the Purpose whether in writing, orally or by any other means if disclosed (whether directly or indirectly) to a third (3rd) party without the express authorization of AHPL is highly confidential and would have a detrimental effect on the business of AHPL, and that its disclosure could not only expose AHPL to liability but also to judicial sanctions and that such disclosure might also adversely affect AHPL’s patients and under certain circumstances, disclosure by the Company could expose the Company to criminal prosecution. In consideration of being made privy to the Confidential Information, the Company hereby agrees to observe and be bound by the terms of the Agreement. (D) The Company acknowledges that all information or data relating to Purpose also applies to any organisation/institution that is related to AHPL (i) either by reason of AHPL directly or indirectly controlling the organisation/institution; (ii) by reason of both AHPL and organisation/institution being controlled by
Hypothesis: Receiving Party shall not disclose the fact that Agreement was agreed or negotiated.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Product Name, Offer Type, Membership Type, Discount Percentage, Bonus Offer, Magazine Subscription, Membership Fee, Shipping and Handling Charge.
This is the Text: [IMAGE]
NCI Marketing Web Alert
[IMAGE] [IMAGE] Dear Friend, I have your deluxe 24-Piece Tool Kit from the American Homeowners Association. It's FREE. But I need to know where to send it. Click Here and complete the form within the next 48 hours so I can ship it to you immediately. It's handy for your home or car, and it makes a great gift. Plus you can try all of our money-saving membership benefits FREE for a full month. Act Now [IMAGE] Because of our massive nationwide buying power, we're able to negotiate ultra deep discounts for our members. You can instantly: - save up to 66% on tools, electronics, gifts, clothes, and more. - fly anywhere for the guaranteed lowest ticket price. - stay at top hotels and resorts worldwide for half price. - obtain a free quote on low members rates for Home and Auto Insurance. - get free access to over 50,000 money-saving grocery coupons. Try AHA and experience the benefits for yourself. Our members save on repairs, insurance, groceries, special vacation deals, and more than twenty other member benefits, and get a subscription to HOME Magazine included at no additional cost! This offer is risk-free , registration only takes a minute and is completely secure. It's that easy. Your satisfaction is guaranteed because our credibility is on the line. Sincerely, Richard Roll American Homeowners Association (AHA)
"America's #1 Homeowner Organization Since 1994" Stamford, CT 06905 P.S.: This offer is only valid for the next 48 hours, so Act Now! Accept your trial membership in the AHA in the next 48 hours and you will not only help your family, you will also help the families of the September 11th tragedy. AHA will donate a portion of your membership fee to the September 11th Fund of the United Way of New York City. (Offer open to U.S. Residents only & credit card customers only. A small $2.95 shipping & handling charge applies) AMERICA'S #1 HOMEOWNER ORGANIZATION since 1994 Copyright 2001, American Homeowners Association (AHA). All rights reserved.
You are receiving this special offer because you have provided permission to receive third party email communications regarding special online promotions or offers. If you do not wish to receive any further messages from Network Commerce, please click here to unsubscribe. Any third-party offers contained in this email are the sole responsibility of the offer originator. Copyright ? 2001 Network Commerce Inc..
### Response: {"Parameters": ["Product Name", "Offer Type", "Membership Type", "Discount Percentage", "Bonus Offer", "Magazine Subscription", "Membership Fee", "Shipping and Handling Charge"], "Values": ["Deluxe 24-Piece Tool Kit", "Free Trial Membership", "Standard", "Up to 66%", "Free access to over 50,000 money-saving grocery coupons", "HOME Magazine", "$2.95", "Applicable"]} | {"Parameters": ["Product Name", "Offer Type", "Membership Type", "Discount Percentage", "Bonus Offer", "Magazine Subscription", "Membership Fee", "Shipping and Handling Charge"], "Values": ["Deluxe 24-Piece Tool Kit", "Free Trial Membership", "Standard", "Up to 66%", "Free access to over 50,000 money-saving grocery coupons", "HOME Magazine", "$2.95", "Applicable"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Product Name, Offer Type, Membership Type, Discount Percentage, Bonus Offer, Magazine Subscription, Membership Fee, Shipping and Handling Charge.
This is the Text: [IMAGE]
NCI Marketing Web Alert
[IMAGE] [IMAGE] Dear Friend, I have your deluxe 24-Piece Tool Kit from the American Homeowners Association. It's FREE. But I need to know where to send it. Click Here and complete the form within the next 48 hours so I can ship it to you immediately. It's handy for your home or car, and it makes a great gift. Plus you can try all of our money-saving membership benefits FREE for a full month. Act Now [IMAGE] Because of our massive nationwide buying power, we're able to negotiate ultra deep discounts for our members. You can instantly: - save up to 66% on tools, electronics, gifts, clothes, and more. - fly anywhere for the guaranteed lowest ticket price. - stay at top hotels and resorts worldwide for half price. - obtain a free quote on low members rates for Home and Auto Insurance. - get free access to over 50,000 money-saving grocery coupons. Try AHA and experience the benefits for yourself. Our members save on repairs, insurance, groceries, special vacation deals, and more than twenty other member benefits, and get a subscription to HOME Magazine included at no additional cost! This offer is risk-free , registration only takes a minute and is completely secure. It's that easy. Your satisfaction is guaranteed because our credibility is on the line. Sincerely, Richard Roll American Homeowners Association (AHA)
"America's #1 Homeowner Organization Since 1994" Stamford, CT 06905 P.S.: This offer is only valid for the next 48 hours, so Act Now! Accept your trial membership in the AHA in the next 48 hours and you will not only help your family, you will also help the families of the September 11th tragedy. AHA will donate a portion of your membership fee to the September 11th Fund of the United Way of New York City. (Offer open to U.S. Residents only & credit card customers only. A small $2.95 shipping & handling charge applies) AMERICA'S #1 HOMEOWNER ORGANIZATION since 1994 Copyright 2001, American Homeowners Association (AHA). All rights reserved.
You are receiving this special offer because you have provided permission to receive third party email communications regarding special online promotions or offers. If you do not wish to receive any further messages from Network Commerce, please click here to unsubscribe. Any third-party offers contained in this email are the sole responsibility of the offer originator. Copyright ? 2001 Network Commerce Inc.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_vat, ice_no, NC 87868, item_1_qty, item_2_vat, item_4_vat, seller_tax_id, item_3_net_worth, item_3_gross_worth.
This is the Text: ice_no 76330023 invoice_date 05/04/2018 seller Baker-Jackson 656 Erica Hills Port Danielleborough NV 55762 client Obrien Ltd 246 Huff Forest Freemantown NC 87868 seller_tax_id 950-81-6113 client_tax_id 967-73-1985 iban GB07LTFN50234175514194 item_1_desc Custom Built Gaming Computer item_1_qty 2 item_1_net_price $217.50 item_1_net_worth 435 item_1_vat 10% item_1_gross_worth $478.50 item_2_desc AMD Custom Ryzen 5 Quad Core Gaming PC $4.2GHZ Computer 8GB 1TB AM4 DDR4 Vega 11 item_2_qty 2 item_2_net_price $574.99 item_2_net_worth $1149.98 item_2_vat 10% item_2_gross_worth $1264.98 item_3_desc HP Compaq 6200 Pro SFF Desktop Computer Pentium Windows 10 System 500GB 1TB item_3_qty 5 item_3_net_price $113.96 item_3_net_worth $569.80 item_3_vat 10% item_3_gross_worth $626.78 item_4_desc SAMA RGB Gaming PC Desktop Computer i5 $3.7GHz Nvidia GTX 1060 16GB Windows 10 item_4_qty 1 item_4_net_price 400 item_4_net_worth 400 item_4_vat 10% item_4_gross_worth 440 total_net_worth $2554.78 total_vat $255.48 total_gross_worth $2810.26.
### Response: {'Parameters': ['item_3_vat', 'ice_no', 'item_1_qty', 'item_2_vat', 'item_4_vat', 'seller_tax_id', 'item_3_net_worth', 'item_3_gross_worth'], 'Values': ['10%', '76330023', '2', '10%', '10%', '950-81-6113', '$569.80', '$626.78']} | {'Parameters': ['item_3_vat', 'ice_no', 'item_1_qty', 'item_2_vat', 'item_4_vat', 'seller_tax_id', 'item_3_net_worth', 'item_3_gross_worth'], 'Values': ['10%', '76330023', '2', '10%', '10%', '950-81-6113', '$569.80', '$626.78']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_vat, ice_no, NC 87868, item_1_qty, item_2_vat, item_4_vat, seller_tax_id, item_3_net_worth, item_3_gross_worth.
This is the Text: ice_no 76330023 invoice_date 05/04/2018 seller Baker-Jackson 656 Erica Hills Port Danielleborough NV 55762 client Obrien Ltd 246 Huff Forest Freemantown NC 87868 seller_tax_id 950-81-6113 client_tax_id 967-73-1985 iban GB07LTFN50234175514194 item_1_desc Custom Built Gaming Computer item_1_qty 2 item_1_net_price $217.50 item_1_net_worth 435 item_1_vat 10% item_1_gross_worth $478.50 item_2_desc AMD Custom Ryzen 5 Quad Core Gaming PC $4.2GHZ Computer 8GB 1TB AM4 DDR4 Vega 11 item_2_qty 2 item_2_net_price $574.99 item_2_net_worth $1149.98 item_2_vat 10% item_2_gross_worth $1264.98 item_3_desc HP Compaq 6200 Pro SFF Desktop Computer Pentium Windows 10 System 500GB 1TB item_3_qty 5 item_3_net_price $113.96 item_3_net_worth $569.80 item_3_vat 10% item_3_gross_worth $626.78 item_4_desc SAMA RGB Gaming PC Desktop Computer i5 $3.7GHz Nvidia GTX 1060 16GB Windows 10 item_4_qty 1 item_4_net_price 400 item_4_net_worth 400 item_4_vat 10% item_4_gross_worth 440 total_net_worth $2554.78 total_vat $255.48 total_gross_worth $2810.26. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_desc, seller, item_1_vat, ice_no, Graves and Baker 36477 Baker Groves Apt. 526 Lake Veronicatown, client, item_1_net_price, Simon and Taylor 365 Tyler Plaza Lake Jessica.
This is the Text: ice_no 72744145 invoice_date 03/29/2016 seller Elliott Simon and Taylor 365 Tyler Plaza Lake Jessica ND 82382 client Hopkins Graves and Baker 36477 Baker Groves Apt. 526 Lake Veronicatown NC 12403 seller_tax_id 953-92-2203 client_tax_id 900-91-6751 iban GB215ZAV32374970565640 item_1_desc 18 Marble White Top Chess Table Handmade Collectible Black Friday Gift Du00e9cor item_1_qty 5 item_1_net_price 561 item_1_net_worth 2805 item_1_vat 10% item_1_gross_worth €3085.50 total_net_worth 2 805 total_vat €280.50 total_gross_worth €3085.50.
### Response: {'Parameters': ['item_1_desc', 'seller', 'item_1_vat', 'ice_no', 'client', 'item_1_net_price'], 'Values': ['18 Marble White Top Chess Table Handmade Collectible Black Friday Gift Du00e9cor', 'Elliott', '10%', '72744145', 'Hopkins', '561']} | {'Parameters': ['item_1_desc', 'seller', 'item_1_vat', 'ice_no', 'client', 'item_1_net_price'], 'Values': ['18 Marble White Top Chess Table Handmade Collectible Black Friday Gift Du00e9cor', 'Elliott', '10%', '72744145', 'Hopkins', '561']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_desc, seller, item_1_vat, ice_no, Graves and Baker 36477 Baker Groves Apt. 526 Lake Veronicatown, client, item_1_net_price, Simon and Taylor 365 Tyler Plaza Lake Jessica.
This is the Text: ice_no 72744145 invoice_date 03/29/2016 seller Elliott Simon and Taylor 365 Tyler Plaza Lake Jessica ND 82382 client Hopkins Graves and Baker 36477 Baker Groves Apt. 526 Lake Veronicatown NC 12403 seller_tax_id 953-92-2203 client_tax_id 900-91-6751 iban GB215ZAV32374970565640 item_1_desc 18 Marble White Top Chess Table Handmade Collectible Black Friday Gift Du00e9cor item_1_qty 5 item_1_net_price 561 item_1_net_worth 2805 item_1_vat 10% item_1_gross_worth €3085.50 total_net_worth 2 805 total_vat €280.50 total_gross_worth €3085.50. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: sender_name, sender_email, recipient_name, recipient_email, subject, date_sent, exhibit_name, exhibit_reference, exhibit_agreements.
This is the Text: This is an exhibit to the CA agreements.
---------------------- Forwarded by Kay Mann/Corp/Enron on 12/22/2000 05:23
PM ---------------------------
"Thompson, Peter J." <peterthompson@akllp.com> on 12/22/2000 01:33:22 PM
To: <suzanne.adams@enron.com>
cc: "Kay Mann (E-mail)" <kay.mann@enron.com>
Subject: Exhibit H-2
This needs to be inserted as Exhibit H-2 in all three agreements. I
will be sending those agreements momentarily.
-----Original Message-----
From: Kay.Mann@enron.com [mailto:Kay.Mann@enron.com]
Sent: Thursday, December 21, 2000 7:07 PM
To: Thompson, Peter J.
Subject: FW: ENRON - Meeting - Training Scope
---------------------- Forwarded by Kay Mann/Corp/Enron on 12/21/2000
06:06
PM ---------------------------
lee.johnson@ss.ps.ge.com on 12/21/2000 04:25:08 PM
To: kay.mann@enron.com
cc: john.r.ayres@enron.com
Subject: FW: ENRON - Meeting - Training Scope
I'm forwarding this per my conversion with John Ayres as the Training
insert
H-2
> -----Original Message-----
> From: Johnson, Lee L (PS, SSEP)
> Sent: Friday, March 17, 2000 3:50 PM
> To: 'kathleen.clark@enron.com'; 'michael.d.nanny@enron.com'
> Cc: Davis, David F (PS, SSEP); Kuo, Kathy (PS, SSEP);
> 'chris.booth@enron.com'
> Subject: FW: ENRON - Meeting - Training Scope
>
>
> Kathy/Mike-
>
> Attached is our latest Training Course agenda. Since our Engine and
> Packaging businesses are now organized as one, we've combined the
Engine
> Familiarization and Generator Set Operator Training Courses into a
single
> Training Course. We would envision providing this training at each
> Facility Site.
>
> This outline should be used to replace the language in Exhibit H-2 to
> accurately describe the current course agenda. We'll discuss the
content
> in detail on Tuesday with Mike, to be sure that nothing is dropped
from
> the Training content.
>
> Thanks,
>
> Lee
>
>
> -----Original Message-----
> From: Kuo, Kathy (PS, SSEP)
> Sent: Thursday, March 16, 2000 11:12 AM
> To: Roy Allice (E-mail)
> Cc: Johnson, Lee L (PS, SSEP)
> Subject: ENRON - Meeting - Training Scope
>
> Roy,
>
> 1. MEETING INFORMATION:
> Who: Enron, Lee Johnson, Kathy Kuo, Roy Allice
> Where: Downtown Houston. 3 Allen Center, 333 Clay St., Suite
400
> (sign in).
> When: 1:30 PM - ? (Lee Johnson to confirm)
>
>
> 2. Attached is the file David Davis sent to Lee for Enron Training
Scope.
> Note that it is the 5-day Basic Op.
>
> <<Training LM6000.pdf>>
>
> 3. Please confirm (per our discussion this morning) that you will be
able
> to attend this meeting. If not, please let me know if there is
someone
> that can attend in your place.
>
>
> Thanks!
> Kathy
(See attached file: Training LM6000.pdf).
### Response: {"Parameters": ["sender_name", "sender_email", "recipient_name", "recipient_email", "subject", "date_sent", "exhibit_name", "exhibit_reference", "exhibit_agreements"], "Values": ["Thompson, Peter J.", "peterthompson@akllp.com", "Kay Mann", "kay.mann@enron.com", "Exhibit H-2", "12/22/2000 01:33:22 PM", "Exhibit", "H-2", "CA agreements"]} | {"Parameters": ["sender_name", "sender_email", "recipient_name", "recipient_email", "subject", "date_sent", "exhibit_name", "exhibit_reference", "exhibit_agreements"], "Values": ["Thompson, Peter J.", "peterthompson@akllp.com", "Kay Mann", "kay.mann@enron.com", "Exhibit H-2", "12/22/2000 01:33:22 PM", "Exhibit", "H-2", "CA agreements"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: sender_name, sender_email, recipient_name, recipient_email, subject, date_sent, exhibit_name, exhibit_reference, exhibit_agreements.
This is the Text: This is an exhibit to the CA agreements.
---------------------- Forwarded by Kay Mann/Corp/Enron on 12/22/2000 05:23
PM ---------------------------
"Thompson, Peter J." <peterthompson@akllp.com> on 12/22/2000 01:33:22 PM
To: <suzanne.adams@enron.com>
cc: "Kay Mann (E-mail)" <kay.mann@enron.com>
Subject: Exhibit H-2
This needs to be inserted as Exhibit H-2 in all three agreements. I
will be sending those agreements momentarily.
-----Original Message-----
From: Kay.Mann@enron.com [mailto:Kay.Mann@enron.com]
Sent: Thursday, December 21, 2000 7:07 PM
To: Thompson, Peter J.
Subject: FW: ENRON - Meeting - Training Scope
---------------------- Forwarded by Kay Mann/Corp/Enron on 12/21/2000
06:06
PM ---------------------------
lee.johnson@ss.ps.ge.com on 12/21/2000 04:25:08 PM
To: kay.mann@enron.com
cc: john.r.ayres@enron.com
Subject: FW: ENRON - Meeting - Training Scope
I'm forwarding this per my conversion with John Ayres as the Training
insert
H-2
> -----Original Message-----
> From: Johnson, Lee L (PS, SSEP)
> Sent: Friday, March 17, 2000 3:50 PM
> To: 'kathleen.clark@enron.com'; 'michael.d.nanny@enron.com'
> Cc: Davis, David F (PS, SSEP); Kuo, Kathy (PS, SSEP);
> 'chris.booth@enron.com'
> Subject: FW: ENRON - Meeting - Training Scope
>
>
> Kathy/Mike-
>
> Attached is our latest Training Course agenda. Since our Engine and
> Packaging businesses are now organized as one, we've combined the
Engine
> Familiarization and Generator Set Operator Training Courses into a
single
> Training Course. We would envision providing this training at each
> Facility Site.
>
> This outline should be used to replace the language in Exhibit H-2 to
> accurately describe the current course agenda. We'll discuss the
content
> in detail on Tuesday with Mike, to be sure that nothing is dropped
from
> the Training content.
>
> Thanks,
>
> Lee
>
>
> -----Original Message-----
> From: Kuo, Kathy (PS, SSEP)
> Sent: Thursday, March 16, 2000 11:12 AM
> To: Roy Allice (E-mail)
> Cc: Johnson, Lee L (PS, SSEP)
> Subject: ENRON - Meeting - Training Scope
>
> Roy,
>
> 1. MEETING INFORMATION:
> Who: Enron, Lee Johnson, Kathy Kuo, Roy Allice
> Where: Downtown Houston. 3 Allen Center, 333 Clay St., Suite
400
> (sign in).
> When: 1:30 PM - ? (Lee Johnson to confirm)
>
>
> 2. Attached is the file David Davis sent to Lee for Enron Training
Scope.
> Note that it is the 5-day Basic Op.
>
> <<Training LM6000.pdf>>
>
> 3. Please confirm (per our discussion this morning) that you will be
able
> to attend this meeting. If not, please let me know if there is
someone
> that can attend in your place.
>
>
> Thanks!
> Kathy
(See attached file: Training LM6000.pdf). |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_6_net_worth, item_2_qty, item_4_gross_worth, item_4_desc, item_3_vat, item_3_gross_worth, seller_tax_id, item_4_vat, client, item_5_desc.
This is the Text: ice_no 15665127 invoice_date 11/03/2020 seller Greene Ltd USCGC Lane FPO AP22594 client Cruz Martinez and Jones 406 Baker Street Wendyshire WI 08892 seller_tax_id 928-81-0532 client_tax_id 929-70-8255 iban GB59TOAH68983697464363 item_1_desc Custom Build Dell Desktop Computer i5 I 16GB I 2TB I SSD Windows 10 PC WiFi DVD item_1_qty 3 item_1_net_price 99 item_1_net_worth 297 item_1_vat 10% item_1_gross_worth €326.70 item_2_desc Dell OptiPlex 9020 SFF DVD-RW/Barebone PC Desktop Computer NO 05/CPU/HDD/RAM item_2_qty 2 item_2_net_price €49.99 item_2_net_worth €99.98 item_2_vat 10% item_2_gross_worth €109.98 item_3_desc Dell Precision Workstation Computer Intel Xeon Quad Core 16GB 1TB Windows 10 Pro item_3_qty 2 item_3_net_price 139 item_3_net_worth 278 item_3_vat 10% item_3_gross_worth €305.80 item_4_desc Dell Desktop Computer Optiplex 790 USFF Core i3 4GB 250GB HD Windows 10 Pro PC item_4_qty 4 item_4_net_price €99.95 item_4_net_worth €399.80 item_4_vat 10% item_4_gross_worth €439.78 item_5_desc AMD Quad Core Custom Built Gaming PC Computer Desktop 16GB 2TB Blue LED item_5_qty 2 item_5_net_price €509.99 item_5_net_worth €1019.98 item_5_vat 10% item_5_gross_worth €1121.98 item_6_desc HP T520 Thin Client Computer AMD GX-212JC €1.2GHz 4GB RAM TESTED !IREAD BELOW!! item_6_qty 1 item_6_net_price €37.75 item_6_net_worth €37.75 item_6_vat 10% item_6_gross_worth €41.53 total_net_worth €2132.51 total_vat €213.25 total_gross_worth €2345.76.
### Response: {'Parameters': ['item_6_net_worth', 'item_2_qty', 'item_4_gross_worth', 'item_4_desc', 'item_3_vat', 'item_3_gross_worth', 'seller_tax_id', 'item_4_vat', 'client', 'item_5_desc'], 'Values': ['€37.75', '2', '€439.78', 'Dell Desktop Computer Optiplex 790 USFF Core i3 4GB 250GB HD Windows 10 Pro PC', '10%', '€305.80', '928-81-0532', '10%', 'Cruz', 'AMD Quad Core Custom Built Gaming PC Computer Desktop 16GB 2TB Blue LED']} | {'Parameters': ['item_6_net_worth', 'item_2_qty', 'item_4_gross_worth', 'item_4_desc', 'item_3_vat', 'item_3_gross_worth', 'seller_tax_id', 'item_4_vat', 'client', 'item_5_desc'], 'Values': ['€37.75', '2', '€439.78', 'Dell Desktop Computer Optiplex 790 USFF Core i3 4GB 250GB HD Windows 10 Pro PC', '10%', '€305.80', '928-81-0532', '10%', 'Cruz', 'AMD Quad Core Custom Built Gaming PC Computer Desktop 16GB 2TB Blue LED']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_6_net_worth, item_2_qty, item_4_gross_worth, item_4_desc, item_3_vat, item_3_gross_worth, seller_tax_id, item_4_vat, client, item_5_desc.
This is the Text: ice_no 15665127 invoice_date 11/03/2020 seller Greene Ltd USCGC Lane FPO AP22594 client Cruz Martinez and Jones 406 Baker Street Wendyshire WI 08892 seller_tax_id 928-81-0532 client_tax_id 929-70-8255 iban GB59TOAH68983697464363 item_1_desc Custom Build Dell Desktop Computer i5 I 16GB I 2TB I SSD Windows 10 PC WiFi DVD item_1_qty 3 item_1_net_price 99 item_1_net_worth 297 item_1_vat 10% item_1_gross_worth €326.70 item_2_desc Dell OptiPlex 9020 SFF DVD-RW/Barebone PC Desktop Computer NO 05/CPU/HDD/RAM item_2_qty 2 item_2_net_price €49.99 item_2_net_worth €99.98 item_2_vat 10% item_2_gross_worth €109.98 item_3_desc Dell Precision Workstation Computer Intel Xeon Quad Core 16GB 1TB Windows 10 Pro item_3_qty 2 item_3_net_price 139 item_3_net_worth 278 item_3_vat 10% item_3_gross_worth €305.80 item_4_desc Dell Desktop Computer Optiplex 790 USFF Core i3 4GB 250GB HD Windows 10 Pro PC item_4_qty 4 item_4_net_price €99.95 item_4_net_worth €399.80 item_4_vat 10% item_4_gross_worth €439.78 item_5_desc AMD Quad Core Custom Built Gaming PC Computer Desktop 16GB 2TB Blue LED item_5_qty 2 item_5_net_price €509.99 item_5_net_worth €1019.98 item_5_vat 10% item_5_gross_worth €1121.98 item_6_desc HP T520 Thin Client Computer AMD GX-212JC €1.2GHz 4GB RAM TESTED !IREAD BELOW!! item_6_qty 1 item_6_net_price €37.75 item_6_net_worth €37.75 item_6_vat 10% item_6_gross_worth €41.53 total_net_worth €2132.51 total_vat €213.25 total_gross_worth €2345.76. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, item_2_net_price, total_vat, item_1_desc, Bennett and Franklin 62849 Maria Forges Berrytown, item_2_net_worth, WA 68118, item_2_vat, item_2_qty, client, VT 48482.
This is the Text: ice_no 15883673 invoice_date 05/20/2012 seller Hardin and Sons 336 Christina Trail Suite 808 East Jacqueline VT 48482 client Raymond Bennett and Franklin 62849 Maria Forges Berrytown WA 68118 seller_tax_id 978-96-1089 client_tax_id 954-76-7192 iban GB98RREZ76578007955961 item_1_desc SONY Playstation2 Console SCPH-50000 Peal Color I TESTED 11177 item_1_qty 1 item_1_net_price 60 item_1_net_worth 60 item_1_vat 10% item_1_gross_worth 66 item_2_desc Nintendo Wii White Console RVL-001 Bundle 10 games Complete Gamecube Compatible item_2_qty 1 item_2_net_price 100 item_2_net_worth 100 item_2_vat 10% item_2_gross_worth 110 total_net_worth 160 total_vat 16 total_gross_worth 176.
### Response: {'Parameters': ['total_gross_worth', 'item_2_net_price', 'total_vat', 'item_1_desc', 'item_2_net_worth', 'item_2_vat', 'item_2_qty', 'client'], 'Values': ['176', '100', '16', 'SONY Playstation2 Console SCPH-50000 Peal Color I TESTED 11177', '100', '10%', '1', 'Raymond']} | {'Parameters': ['total_gross_worth', 'item_2_net_price', 'total_vat', 'item_1_desc', 'item_2_net_worth', 'item_2_vat', 'item_2_qty', 'client'], 'Values': ['176', '100', '16', 'SONY Playstation2 Console SCPH-50000 Peal Color I TESTED 11177', '100', '10%', '1', 'Raymond']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_gross_worth, item_2_net_price, total_vat, item_1_desc, Bennett and Franklin 62849 Maria Forges Berrytown, item_2_net_worth, WA 68118, item_2_vat, item_2_qty, client, VT 48482.
This is the Text: ice_no 15883673 invoice_date 05/20/2012 seller Hardin and Sons 336 Christina Trail Suite 808 East Jacqueline VT 48482 client Raymond Bennett and Franklin 62849 Maria Forges Berrytown WA 68118 seller_tax_id 978-96-1089 client_tax_id 954-76-7192 iban GB98RREZ76578007955961 item_1_desc SONY Playstation2 Console SCPH-50000 Peal Color I TESTED 11177 item_1_qty 1 item_1_net_price 60 item_1_net_worth 60 item_1_vat 10% item_1_gross_worth 66 item_2_desc Nintendo Wii White Console RVL-001 Bundle 10 games Complete Gamecube Compatible item_2_qty 1 item_2_net_price 100 item_2_net_worth 100 item_2_vat 10% item_2_gross_worth 110 total_net_worth 160 total_vat 16 total_gross_worth 176. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Youth's 5, item_3_net_price, item_2_desc, item_2_net_price, item_4_qty, item_1_qty, item_4_gross_worth.
This is the Text: ice_no 90118586 invoice_date 08/21/2017 seller Taylor and Sons 1669 Cabrera Loop Apt. 577 Jenniferland SD 77850 client Obrien Ltd 29360 Ashley Harbor East Mary WI25259 seller_tax_id 947-73-2780 client_tax_id 976-96-7284 iban GB26UFST52285574070709 item_1_desc PUMA Pre-School Scuderia Ferrari Drift Cat 5 Ultra II Shoes Boys 12c item_1_qty 1 item_1_net_price CHF21.22 item_1_net_worth CHF21.22 item_1_vat 10% item_1_gross_worth CHF23.34 item_2_desc Joma Youth Boy Supercopa 201 Soccer Cleats CHF4.5 Negro Verde Multitaco Black Green item_2_qty 1 item_2_net_price CHF19.99 item_2_net_worth CHF19.99 item_2_vat 10% item_2_gross_worth CHF21.99 item_3_desc Fila Shoes Sneakers Kids size 11 Red black Gray item_3_qty 4 item_3_net_price 15 item_3_net_worth 60 item_3_vat 10% item_3_gross_worth 66 item_4_desc Native Charley White Sandals-Size Infant/Child 6-Boys/Girl-Very Good Condition item_4_qty 1 item_4_net_price 13 item_4_net_worth 13 item_4_vat 10% item_4_gross_worth CHF14.30 item_5_desc Teva Hurricane 1019390 All Black Sandals with Hook and Loop Closure Youth's 5 item_5_qty 4 item_5_net_price CHF9.99 item_5_net_worth CHF39.96 item_5_vat 10% item_5_gross_worth CHF43.96 item_6_desc Skechers Kids' Snap Sprints Sneaker Size 4 Blue/Black 975461 item_6_qty 4 item_6_net_price CHF29.99 item_6_net_worth CHF119.96 item_6_vat 10% item_6_gross_worth CHF131.96 total_net_worth CHF274.13 total_vat CHF27.41 total_gross_worth CHF301.54.
### Response: {'Parameters': ['item_3_net_price', 'item_2_desc', 'item_2_net_price', 'item_4_qty', 'item_1_qty', 'item_4_gross_worth'], 'Values': ['15', 'Joma Youth Boy Supercopa 201 Soccer Cleats CHF4.5 Negro Verde Multitaco Black Green', 'CHF19.99', '1', '1', 'CHF14.30']} | {'Parameters': ['item_3_net_price', 'item_2_desc', 'item_2_net_price', 'item_4_qty', 'item_1_qty', 'item_4_gross_worth'], 'Values': ['15', 'Joma Youth Boy Supercopa 201 Soccer Cleats CHF4.5 Negro Verde Multitaco Black Green', 'CHF19.99', '1', '1', 'CHF14.30']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Youth's 5, item_3_net_price, item_2_desc, item_2_net_price, item_4_qty, item_1_qty, item_4_gross_worth.
This is the Text: ice_no 90118586 invoice_date 08/21/2017 seller Taylor and Sons 1669 Cabrera Loop Apt. 577 Jenniferland SD 77850 client Obrien Ltd 29360 Ashley Harbor East Mary WI25259 seller_tax_id 947-73-2780 client_tax_id 976-96-7284 iban GB26UFST52285574070709 item_1_desc PUMA Pre-School Scuderia Ferrari Drift Cat 5 Ultra II Shoes Boys 12c item_1_qty 1 item_1_net_price CHF21.22 item_1_net_worth CHF21.22 item_1_vat 10% item_1_gross_worth CHF23.34 item_2_desc Joma Youth Boy Supercopa 201 Soccer Cleats CHF4.5 Negro Verde Multitaco Black Green item_2_qty 1 item_2_net_price CHF19.99 item_2_net_worth CHF19.99 item_2_vat 10% item_2_gross_worth CHF21.99 item_3_desc Fila Shoes Sneakers Kids size 11 Red black Gray item_3_qty 4 item_3_net_price 15 item_3_net_worth 60 item_3_vat 10% item_3_gross_worth 66 item_4_desc Native Charley White Sandals-Size Infant/Child 6-Boys/Girl-Very Good Condition item_4_qty 1 item_4_net_price 13 item_4_net_worth 13 item_4_vat 10% item_4_gross_worth CHF14.30 item_5_desc Teva Hurricane 1019390 All Black Sandals with Hook and Loop Closure Youth's 5 item_5_qty 4 item_5_net_price CHF9.99 item_5_net_worth CHF39.96 item_5_vat 10% item_5_gross_worth CHF43.96 item_6_desc Skechers Kids' Snap Sprints Sneaker Size 4 Blue/Black 975461 item_6_qty 4 item_6_net_price CHF29.99 item_6_net_worth CHF119.96 item_6_vat 10% item_6_gross_worth CHF131.96 total_net_worth CHF274.13 total_vat CHF27.41 total_gross_worth CHF301.54. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Person 1, Person 2, Meeting Location, Dates, Agreements Reached, Reason of failure to attend, Liabilities reduction, Followed approach, Immediate charge, Travel information, Importance of attendance.
This is the Text: Rebecca:
These meetings that were set up with Pawar in Delhi were supposed to be
attended by Wade but but he was unable to attend them due to the fact that he
fell sick. No agreements have been reached because there are none that are
contemplated. All we have done is to encourage the GOM to approach the GOI
for reducing their own liabilities. The details you will find in the other
memo I have already sent to you. (I picked up your email after I finished
sending my emails). The approach as u will notice is no different than what
we have been following all along and I believe that you know that already.
If u want further clarification, I am happy to discuss this with you or if u
want to follow a different strategy then please let me know. I am at the
Delhi Oberoi at 91-11-4363030, room 716.
Ken had expressed to me last week that you desired to take charge immediately
and start moving the resolution of the Dabhol issues forward. I agree that
this will be the best way forward. Given the way things are moving, I think
that it would be best that you arrive in Delhi immediately over the weekend
so that I can introduce you to the players on Monday and start transitioning
the relationships to you and Wade. Wade will join the team in delhi as soon
as he is able to travel. Tuesday onwards I have urgent commitments in Mumbai
that require my presence there.
As you can appreciate, your presence in these meetings will be essential for
you to start getting a feel for the situation on the ground and developing
the rapport with the key players. The GOM is clearly driving the train and if
we are to assist them its essential that we not slow them down and assist
them in any way we can.
regards,
Sanjay
Rebecca McDonald
11/30/2000 01:13 PM
To: Sanjay Bhatnagar/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT
cc: James A Hughes/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Rob
Walls/NA/Enron@Enron, Wade Cline/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Jeff
Skilling@ENRON, Kenneth Lay@ENRON
Subject: Meetings with Sharad Pawar
Sanjay,
Through several forwardings of memos it has come to my attention that you had
several meetings this week with Sharad Pawar and reached some agreements. I
understand that a conference call to generate a strategy regarding our
approach to Mr Pawar was cancelled and no one is able to explain to me what
approach you took or what the nature is of any agreements or accomodations
that you may have struck in these meetings. I think it is important that I
and the rest of the task force be involved in the setting of strategy even if
we will call on you to conduct any of the discussions and it is clear that it
is cooperation and coordination is paramount.
Please call or write immediately with a briefing of those meetings and of any
agreements that were agreed to. In the future, I would appreciate better
coordination and discussions on all matter related to Dabhol and to Metgas.
I am available by phone day or night.
Regards
Rebecca.
### Response: {"Parameters": ["Person 1", "Person 2", "Meeting Location", "Dates", "Agreements Reached", "Reason of failure to attend", "Liabilities reduction", "Followed approach", "Immediate charge", "Travel information", "Importance of attendance"], "Values": ["Rebecca McDonald", "Sanjay Bhatnagar", "Delhi Oberoi", "November 2000", "No agreements reached", "Fell sick", "Encourage GOM for reducing their own liabilities", "No different than what they have been following all along", "Desired to take charge immediately and start moving the resolution of the Dabhol issues forward", "Arrive in Delhi immediately over the weekend", "Presence in these meetings will be essential for you to start getting a feel for the situation on the ground and developing the rapport with the key players"]} | {"Parameters": ["Person 1", "Person 2", "Meeting Location", "Dates", "Agreements Reached", "Reason of failure to attend", "Liabilities reduction", "Followed approach", "Immediate charge", "Travel information", "Importance of attendance"], "Values": ["Rebecca McDonald", "Sanjay Bhatnagar", "Delhi Oberoi", "November 2000", "No agreements reached", "Fell sick", "Encourage GOM for reducing their own liabilities", "No different than what they have been following all along", "Desired to take charge immediately and start moving the resolution of the Dabhol issues forward", "Arrive in Delhi immediately over the weekend", "Presence in these meetings will be essential for you to start getting a feel for the situation on the ground and developing the rapport with the key players"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Person 1, Person 2, Meeting Location, Dates, Agreements Reached, Reason of failure to attend, Liabilities reduction, Followed approach, Immediate charge, Travel information, Importance of attendance.
This is the Text: Rebecca:
These meetings that were set up with Pawar in Delhi were supposed to be
attended by Wade but but he was unable to attend them due to the fact that he
fell sick. No agreements have been reached because there are none that are
contemplated. All we have done is to encourage the GOM to approach the GOI
for reducing their own liabilities. The details you will find in the other
memo I have already sent to you. (I picked up your email after I finished
sending my emails). The approach as u will notice is no different than what
we have been following all along and I believe that you know that already.
If u want further clarification, I am happy to discuss this with you or if u
want to follow a different strategy then please let me know. I am at the
Delhi Oberoi at 91-11-4363030, room 716.
Ken had expressed to me last week that you desired to take charge immediately
and start moving the resolution of the Dabhol issues forward. I agree that
this will be the best way forward. Given the way things are moving, I think
that it would be best that you arrive in Delhi immediately over the weekend
so that I can introduce you to the players on Monday and start transitioning
the relationships to you and Wade. Wade will join the team in delhi as soon
as he is able to travel. Tuesday onwards I have urgent commitments in Mumbai
that require my presence there.
As you can appreciate, your presence in these meetings will be essential for
you to start getting a feel for the situation on the ground and developing
the rapport with the key players. The GOM is clearly driving the train and if
we are to assist them its essential that we not slow them down and assist
them in any way we can.
regards,
Sanjay
Rebecca McDonald
11/30/2000 01:13 PM
To: Sanjay Bhatnagar/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT
cc: James A Hughes/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Rob
Walls/NA/Enron@Enron, Wade Cline/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Jeff
Skilling@ENRON, Kenneth Lay@ENRON
Subject: Meetings with Sharad Pawar
Sanjay,
Through several forwardings of memos it has come to my attention that you had
several meetings this week with Sharad Pawar and reached some agreements. I
understand that a conference call to generate a strategy regarding our
approach to Mr Pawar was cancelled and no one is able to explain to me what
approach you took or what the nature is of any agreements or accomodations
that you may have struck in these meetings. I think it is important that I
and the rest of the task force be involved in the setting of strategy even if
we will call on you to conduct any of the discussions and it is clear that it
is cooperation and coordination is paramount.
Please call or write immediately with a briefing of those meetings and of any
agreements that were agreed to. In the future, I would appreciate better
coordination and discussions on all matter related to Dabhol and to Metgas.
I am available by phone day or night.
Regards
Rebecca. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Utilities list, ISDA sign-up, Coordination of activities, Analysis of previous deals, Identification of large industrials, Weather linked products, Coordination with PER Sekse.
This is the Text: No one is really making a concerted effort with respect to utilities.
Going forward we should:
1- get as list of all utilities with whom we have ISDAs
2-sign up more of them
3- coordinate activities between gas, power, coal, weatehr and crude and prodcuts
4- analyze previous deals with each utlity--see who we have been ignoring and restart relationships
5- figure out which large industrials are multi-fuel users and include them
6-consider weather linked products: HDD dependent hating oil calls
7- coordinate with PER SEkse--re trigger options -- where we may be able to lay off risk
-----Original Message-----
From: Shankman, Jeffrey A.
Sent: Friday, July 06, 2001 9:00 AM
To: Fraser, Jennifer
Cc: Berkeland, Bill
Subject: RE: btu effects : coal, ng, resid -FYI
who is covering FP&L for their 1% needs? What about the other utilities?
-----Original Message-----
From: Fraser, Jennifer
Sent: Thursday, July 05, 2001 3:49 PM
To: Shankman, Jeffrey A.
Subject: btu effects : coal, ng, resid -FYI
-----Original Message-----
From: Mulholland, Sarah
Sent: Thursday, July 05, 2001 2:57 PM
To: Fraser, Jennifer
Cc: Arnold, John
Subject: RE: coal and gas calculations
As for Fuel Oil, it doesn't seem to be working to hold the switching demand like we thought it would. Prices are coming off but with Natty not moving much in the past few days it has made little effect. On Mon seeing FP&L selling almost 500,000 bbls of NYh 1% in Aug and Sep. Mirant has been out the whole week buying and the utilities are also long Cal 02, Cal 03 but have yet to dump it. Seeing utilities switch in the NYC region, even though prices are slowly coming off. Woudl expect if you get heat to see some utilities use their storage and burn some fuel but unless Natty goes back up to 4 ish I think we may be off the mrkt for a little bit here. Watchign for signs that may come back on after summer. Additional issue being that demand as a whole is very weak, so even w/o Natty at such low levels, we would be just a weak. As of tonight:
NYH Jul 19.00/bbl = 3.025 (w/o taxes and transport, right off the barge)
-----Original Message-----
From: Fraser, Jennifer
Sent: Thursday, July 05, 2001 2:37 PM
To: Arnold, John
Cc: Mulholland, Sarah
Subject: coal and gas calculations
coal (EAST
45$/t + 10$ freight = 55$
12,000btu/lb
therefore 55/(12*2)= 2.29/ MMBTU
heat rate 10
therfore 22.90/MWH
nagural gas (NYMEX)
3.14
most efficient new gen heat rate 7.0
therefore 21.98/mwh
all back of the envelope--but when we get heat will gens increase coal (push limits)--or will gas become more of the baseload.
### Response: {"Parameters": ["Utilities list", "ISDA sign-up", "Coordination of activities", "Analysis of previous deals", "Identification of large industrials", "Weather linked products", "Coordination with PER Sekse"], "Values": ["All utilities with whom we have ISDAs", "Sign up more of them", "Coordinate activities between gas, power, coal, weather and crude and products", "Analyze previous deals with each utility--see who we have been ignoring and restart relationships", "Identify large industrials which are multi-fuel users and include them", "Consider weather linked products: HDD dependent heating oil calls", "Coordinate with PER Sekse--re trigger options--where we may be able to lay off risk"]} | {"Parameters": ["Utilities list", "ISDA sign-up", "Coordination of activities", "Analysis of previous deals", "Identification of large industrials", "Weather linked products", "Coordination with PER Sekse"], "Values": ["All utilities with whom we have ISDAs", "Sign up more of them", "Coordinate activities between gas, power, coal, weather and crude and products", "Analyze previous deals with each utility--see who we have been ignoring and restart relationships", "Identify large industrials which are multi-fuel users and include them", "Consider weather linked products: HDD dependent heating oil calls", "Coordinate with PER Sekse--re trigger options--where we may be able to lay off risk"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Utilities list, ISDA sign-up, Coordination of activities, Analysis of previous deals, Identification of large industrials, Weather linked products, Coordination with PER Sekse.
This is the Text: No one is really making a concerted effort with respect to utilities.
Going forward we should:
1- get as list of all utilities with whom we have ISDAs
2-sign up more of them
3- coordinate activities between gas, power, coal, weatehr and crude and prodcuts
4- analyze previous deals with each utlity--see who we have been ignoring and restart relationships
5- figure out which large industrials are multi-fuel users and include them
6-consider weather linked products: HDD dependent hating oil calls
7- coordinate with PER SEkse--re trigger options -- where we may be able to lay off risk
-----Original Message-----
From: Shankman, Jeffrey A.
Sent: Friday, July 06, 2001 9:00 AM
To: Fraser, Jennifer
Cc: Berkeland, Bill
Subject: RE: btu effects : coal, ng, resid -FYI
who is covering FP&L for their 1% needs? What about the other utilities?
-----Original Message-----
From: Fraser, Jennifer
Sent: Thursday, July 05, 2001 3:49 PM
To: Shankman, Jeffrey A.
Subject: btu effects : coal, ng, resid -FYI
-----Original Message-----
From: Mulholland, Sarah
Sent: Thursday, July 05, 2001 2:57 PM
To: Fraser, Jennifer
Cc: Arnold, John
Subject: RE: coal and gas calculations
As for Fuel Oil, it doesn't seem to be working to hold the switching demand like we thought it would. Prices are coming off but with Natty not moving much in the past few days it has made little effect. On Mon seeing FP&L selling almost 500,000 bbls of NYh 1% in Aug and Sep. Mirant has been out the whole week buying and the utilities are also long Cal 02, Cal 03 but have yet to dump it. Seeing utilities switch in the NYC region, even though prices are slowly coming off. Woudl expect if you get heat to see some utilities use their storage and burn some fuel but unless Natty goes back up to 4 ish I think we may be off the mrkt for a little bit here. Watchign for signs that may come back on after summer. Additional issue being that demand as a whole is very weak, so even w/o Natty at such low levels, we would be just a weak. As of tonight:
NYH Jul 19.00/bbl = 3.025 (w/o taxes and transport, right off the barge)
-----Original Message-----
From: Fraser, Jennifer
Sent: Thursday, July 05, 2001 2:37 PM
To: Arnold, John
Cc: Mulholland, Sarah
Subject: coal and gas calculations
coal (EAST
45$/t + 10$ freight = 55$
12,000btu/lb
therefore 55/(12*2)= 2.29/ MMBTU
heat rate 10
therfore 22.90/MWH
nagural gas (NYMEX)
3.14
most efficient new gen heat rate 7.0
therefore 21.98/mwh
all back of the envelope--but when we get heat will gens increase coal (push limits)--or will gas become more of the baseload. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_desc, item_2_net_price, item_3_desc, item_1_vat, ice_no, item_4_net_price, total_vat.
This is the Text: ice_no 61356291 invoice_date 09/06/2012 seller Chapman Kim and Green 64731 James Branch Smithmouth NC 26872 client Rodriguez-Stevens 2280 Angela Plain Hortonshire MS 93248 seller_tax_id 949-84-9105 client_tax_id 939-98-8477 iban GB50ACIE59715038217063 item_1_desc Wine Glasses Goblets Pair Clear Glass item_1_qty 5 item_1_net_price 12 item_1_net_worth 60 item_1_vat 10% item_1_gross_worth 66 item_2_desc With Hooks Stemware Storage Multiple Uses Iron Wine Rack Hanging Glass item_2_qty 4 item_2_net_price CHF28.08 total_net_worth CHF112.32 item_2_vat 10% item_2_gross_worth CHF123.55 item_3_desc Replacement Corkscrew Parts Spiral Worm Wine Opener Bottle Houdini item_3_qty 1 item_3_net_price CHF7.50 total_net_worth CHF7.50 item_3_vat 10% item_3_gross_worth CHF8.25 item_4_desc HOME ESSENTIALS GRADIENT STEMLESS WINE GLASSES SET OF 420 FL OZ (591 ml) NEW item_4_qty 1 item_4_net_price CHF12.99 item_4_net_worth CHF12.99 item_4_vat 10% item_4_gross_worth CHF14.29 total_net_worth CHF192.81 total_vat CHF19.28 total_gross_worth CHF212.09.
### Response: {'Parameters': ['item_2_desc', 'item_2_net_price', 'item_3_desc', 'item_1_vat', 'ice_no', 'item_4_net_price', 'total_vat'], 'Values': ['With Hooks Stemware Storage Multiple Uses Iron Wine Rack Hanging Glass', 'CHF28.08', 'Replacement Corkscrew Parts Spiral Worm Wine Opener Bottle Houdini', '10%', '61356291', 'CHF12.99', 'CHF19.28']} | {'Parameters': ['item_2_desc', 'item_2_net_price', 'item_3_desc', 'item_1_vat', 'ice_no', 'item_4_net_price', 'total_vat'], 'Values': ['With Hooks Stemware Storage Multiple Uses Iron Wine Rack Hanging Glass', 'CHF28.08', 'Replacement Corkscrew Parts Spiral Worm Wine Opener Bottle Houdini', '10%', '61356291', 'CHF12.99', 'CHF19.28']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_desc, item_2_net_price, item_3_desc, item_1_vat, ice_no, item_4_net_price, total_vat.
This is the Text: ice_no 61356291 invoice_date 09/06/2012 seller Chapman Kim and Green 64731 James Branch Smithmouth NC 26872 client Rodriguez-Stevens 2280 Angela Plain Hortonshire MS 93248 seller_tax_id 949-84-9105 client_tax_id 939-98-8477 iban GB50ACIE59715038217063 item_1_desc Wine Glasses Goblets Pair Clear Glass item_1_qty 5 item_1_net_price 12 item_1_net_worth 60 item_1_vat 10% item_1_gross_worth 66 item_2_desc With Hooks Stemware Storage Multiple Uses Iron Wine Rack Hanging Glass item_2_qty 4 item_2_net_price CHF28.08 total_net_worth CHF112.32 item_2_vat 10% item_2_gross_worth CHF123.55 item_3_desc Replacement Corkscrew Parts Spiral Worm Wine Opener Bottle Houdini item_3_qty 1 item_3_net_price CHF7.50 total_net_worth CHF7.50 item_3_vat 10% item_3_gross_worth CHF8.25 item_4_desc HOME ESSENTIALS GRADIENT STEMLESS WINE GLASSES SET OF 420 FL OZ (591 ml) NEW item_4_qty 1 item_4_net_price CHF12.99 item_4_net_worth CHF12.99 item_4_vat 10% item_4_gross_worth CHF14.29 total_net_worth CHF192.81 total_vat CHF19.28 total_gross_worth CHF212.09. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Subject, promptDt, p_commodity_cd, expDate, pub cd.
This is the Text: ---------------------- Forwarded by Robin Rodrigue/HOU/ECT on 11/03/2000
02:13 PM ---------------------------
Enron North America Corp.
From: Frank Hayden @ ENRON 11/03/2000 09:10 AM
To: Bilal Bajwa/NA/Enron@Enron, Robin Rodrigue/HOU/ECT@ECT
cc:
Subject: Re: 'NG' positions roll-off logic
---------------------- Forwarded by Frank Hayden/Corp/Enron on 11/03/2000
09:13 AM ---------------------------
From: Frank Hayden 08/26/2000 04:02 PM
To: Bilal Bajwa/NA/Enron@Enron
cc:
Subject: Re: 'NG' positions roll-off logic
---------------------- Forwarded by Frank Hayden/Corp/Enron on 08/26/2000
04:01 PM ---------------------------
Ganapathy Ramesh@ECT
08/26/2000 03:37 PM
To: Frank Hayden/Corp/Enron@Enron
cc:
Subject: Re: 'NG' positions roll-off logic
Roll-Off logic as requested by you.
Ramesh
Enron North America Corp.
From: Wei Hu 08/07/2000 03:37 PM
To: Jeremy Wong/HOU/ECT@ECT
cc: Ganapathy Ramesh/HOU/ECT@ECT
Subject: 'NG' positions roll-off logic
Jeremy,
Here is the roll-off logic for 'NG':
1. For regular ERMS books (not Intra Month book), first we get the promptDt,
promptDt := TO_DATE('01'||TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),
'MONYYYY'), 'DDMONYYYY');
Then if p_commodity_cd = 'NG', we go get the cutOff date,
SELECT exp_dt
INTO expDate
FROM egs_expiration_dates
WHERE expiration_rule_cd = 'Natural Gas Futures'
AND ref_period_dt = promptDt;
IF (TO_DATE(p_effDt, 'J') > expDate) THEN
cutOff := ADD_MONTHS(promptDt,1);
ELSE
cutOff := promptDt;
END IF;
The strip flag, when populated into rms_deal_legs table, is computed using
the following DECODE statement,
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) -
TO_NUMBER(TO_CHAR(cutOff,'J'))),-1,-2,NULL).
Positions with strip flag as -2 will be rolled off by V@R program.
2. For Intra Month books, first we get the nextMonthDt,
nextMonthDt :=
TO_NUMBER(TO_CHAR(TO_DATE('01'||TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),'MM
')||
TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),'YYYY'), 'DDMMYYYY'),'J'));
Then if book flag is 'P', the strip flag, when populated into rms_deal_legs
table, is computed using the
following DECODE statement,
if pub cd starts with 'GD', then the positions are taken in as
'FLOATVSFLOAT', and strip flags for
two legs are,
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) - nextMonthDt), 1, -1, 0,
-1, -1, -2, NULL) and
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) - nextMonthDt), 1, 1, 0,
1, -1, -2, NULL),
respectively.
else if pub cd does not start with 'GD', then only positions with
swap_cd as 'S' are captured as 'SWAP'. The strip flag is,
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) - nextMonthDt), 1, 1, 0,
1, -1, -2, NULL)
Else if book flag is 'G', the strip flag in rms_deal_legs is hard coded as 1.
Thanks,
Wei.
### Response: {"Parameters": ["Subject", "promptDt", "p_commodity_cd", "expDate", "pub cd"], "Values": ["Re: 'NG' positions roll-off logic", "TO_DATE('01'||TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),\n'MONYYYY'), 'DDMONYYYY')", "'NG'", "the result of a SELECT statement", "GD and 'S' respectively"]} | {"Parameters": ["Subject", "promptDt", "p_commodity_cd", "expDate", "pub cd"], "Values": ["Re: 'NG' positions roll-off logic", "TO_DATE('01'||TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),\n'MONYYYY'), 'DDMONYYYY')", "'NG'", "the result of a SELECT statement", "GD and 'S' respectively"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Subject, promptDt, p_commodity_cd, expDate, pub cd.
This is the Text: ---------------------- Forwarded by Robin Rodrigue/HOU/ECT on 11/03/2000
02:13 PM ---------------------------
Enron North America Corp.
From: Frank Hayden @ ENRON 11/03/2000 09:10 AM
To: Bilal Bajwa/NA/Enron@Enron, Robin Rodrigue/HOU/ECT@ECT
cc:
Subject: Re: 'NG' positions roll-off logic
---------------------- Forwarded by Frank Hayden/Corp/Enron on 11/03/2000
09:13 AM ---------------------------
From: Frank Hayden 08/26/2000 04:02 PM
To: Bilal Bajwa/NA/Enron@Enron
cc:
Subject: Re: 'NG' positions roll-off logic
---------------------- Forwarded by Frank Hayden/Corp/Enron on 08/26/2000
04:01 PM ---------------------------
Ganapathy Ramesh@ECT
08/26/2000 03:37 PM
To: Frank Hayden/Corp/Enron@Enron
cc:
Subject: Re: 'NG' positions roll-off logic
Roll-Off logic as requested by you.
Ramesh
Enron North America Corp.
From: Wei Hu 08/07/2000 03:37 PM
To: Jeremy Wong/HOU/ECT@ECT
cc: Ganapathy Ramesh/HOU/ECT@ECT
Subject: 'NG' positions roll-off logic
Jeremy,
Here is the roll-off logic for 'NG':
1. For regular ERMS books (not Intra Month book), first we get the promptDt,
promptDt := TO_DATE('01'||TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),
'MONYYYY'), 'DDMONYYYY');
Then if p_commodity_cd = 'NG', we go get the cutOff date,
SELECT exp_dt
INTO expDate
FROM egs_expiration_dates
WHERE expiration_rule_cd = 'Natural Gas Futures'
AND ref_period_dt = promptDt;
IF (TO_DATE(p_effDt, 'J') > expDate) THEN
cutOff := ADD_MONTHS(promptDt,1);
ELSE
cutOff := promptDt;
END IF;
The strip flag, when populated into rms_deal_legs table, is computed using
the following DECODE statement,
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) -
TO_NUMBER(TO_CHAR(cutOff,'J'))),-1,-2,NULL).
Positions with strip flag as -2 will be rolled off by V@R program.
2. For Intra Month books, first we get the nextMonthDt,
nextMonthDt :=
TO_NUMBER(TO_CHAR(TO_DATE('01'||TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),'MM
')||
TO_CHAR(ADD_MONTHS(TO_DATE(p_effDt,'J'),1),'YYYY'), 'DDMMYYYY'),'J'));
Then if book flag is 'P', the strip flag, when populated into rms_deal_legs
table, is computed using the
following DECODE statement,
if pub cd starts with 'GD', then the positions are taken in as
'FLOATVSFLOAT', and strip flags for
two legs are,
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) - nextMonthDt), 1, -1, 0,
-1, -1, -2, NULL) and
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) - nextMonthDt), 1, 1, 0,
1, -1, -2, NULL),
respectively.
else if pub cd does not start with 'GD', then only positions with
swap_cd as 'S' are captured as 'SWAP'. The strip flag is,
DECODE(SIGN(TO_NUMBER(TO_CHAR(ref_period_dt,'J')) - nextMonthDt), 1, 1, 0,
1, -1, -2, NULL)
Else if book flag is 'G', the strip flag in rms_deal_legs is hard coded as 1.
Thanks,
Wei. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, Sender's name, Subject, Receivers' name, Opinionated tone, Publication name, Article type, Individuals named, Industry, Event, Political affiliation.
This is the Text: Good op ed piece.
-----Original Message-----
From: Sole III, Carlos
Sent: Friday, November 30, 2001 10:39 AM
To: Mann, Kay
Subject: FW: Criminal Indictments
This will make you mad again.
-----Original Message-----
From: Sole III, Carlos
Sent: Friday, November 30, 2001 10:31 AM
To: 'phil_patman@yahoo.com'; Harris, Bruce
Subject: Criminal Indictments
I'm still sorting through all of the WSJ articles, but if you read this one, I think it's clear that Lay, Skilling, Fastow, Arthur Andersen and others will have criminal prosecutions and disgourgements. It is very rare that the WSJ with its conservative bent and with a Republican President writes this type of Op-Ed. Nevertheless, the article already sets the predicate of Lay's defense that he did not fully comprehend what was going on and, thus, lacked the mens rea for the crimes that Skilling and Fastow will be charged with.
REVIEW & OUTLOOK (Editorial)
Investigating Enron
11/30/2001
The Wall Street Journal
A14
(Copyright (c) 2001, Dow Jones & Company, Inc.)
You can cut the Schadenfreude with a machete these days as Enron careens toward failure. Like any fast-rising, innovative business, the energy trader made enemies, some with a fair grievance and some not. We hope the inevitable (and necessary) investigations keep in mind the difference.
Enron was a forthright advocate of competition, as every obituary of the past few days has noted. Some see the firm's collapse as discrediting the market economics it championed, though the opposite is closer to the truth.
It strikes us that Enron was partly a victim of its own success. Its revenues quadrupled in a year, thanks to the fillip that California's troubles provided to the wholesale power market. But profits were up much less -- i.e., Enron was earning thinner margins in the energy-trading business it pioneered. The new industry quickly became too competitive and transparent to afford any windfalls, just as deregulation admirers would have predicted.
Enron does not own U.S. power plants and generally did not seem to make outsized profits on power for resale in, say, California. But that didn't stop California's eccentric attorney general, Bill Lockyer, from blaming Enron CEO Ken Lay for that state's electricity mismanagement. Last summer he told a Wall Street Journal reporter that, "I would love to personally escort Lay to an 8x10 cell that he could share with a tattooed dude who says, `Hi my name is Spike, honey.'" Consider that an unfair grievance.
Accounting matters are more troubling. The struggle for a century has been to make sure corporate managers don't pursue their own agendas at the expense of owners. The emergence of special partnerships, controlled and owned by Enron's own senior officers, with which the company did some of its murkiest deals, would cause even libertarians to wonder what's been going on. Clearly Mr. Lay didn't fully understand what former Enron CEO Jeffrey Skilling was up to, and shareholders weren't told either.
At the same time, Enron officers had a large amount of personal wealth tied up in Enron stock, which has fallen from $90 to 61 cents. So the mere existence of these partnership deals does not automatically indicate corrupt intent. Only a detailed investigation can resolve whether these deals were honestly motivated, and whether Enron's (and Arthur Andersen's) interpretation of accounting rules was defensible. In any case, trial lawyers will descend to squeeze every penny out of Enron's troubles for themselves (and for shareholders or employees who held Enron stock in their 401(k)s).
As for the investigations, we hope they won't be influenced one way or another by long connections between Mr. Lay and President Bush. Even the hint of special treatment would be a political disaster, especially for an Administration that promised to clean up after Bill Clinton.
While tradition has been not to make criminal matters out of accounting scandals, exceptions have arisen recently. Federal prosecutors in New York have gone after Walter Forbes, who sold his company to Cendant, giving rise to what before Enron was the nation's most costly stock meltdown due to bad accounting. San Francisco prosecutors recently extracted guilty pleas from executives of Aurora Foods over their treatment of trade promotion expenses for their portfolio of "orphan" brands as capital expenditures.
Enron is an opportunity for the Bush team to show it can police similar financial chicanery, if some is found. Sorting the capitalists from the crooks is one way of protecting capitalism..
### Response: {"Parameters": ["Date", "Sender's name", "Subject", "Receivers' name", "Opinionated tone", "Publication name", "Article type", "Individuals named", "Industry", "Event", "Political affiliation"], "Values": ["11/30/2001", "Sole III, Carlos", "FW: Criminal Indictments", "Mann, Kay", "Negative", "The Wall Street Journal", "Editorial", "Lay, Skilling, Fastow, Arthur Andersen, Bill Lockyer, Walter Forbes", "Energy trading", "Enron's collapse", "Republican"]} | {"Parameters": ["Date", "Sender's name", "Subject", "Receivers' name", "Opinionated tone", "Publication name", "Article type", "Individuals named", "Industry", "Event", "Political affiliation"], "Values": ["11/30/2001", "Sole III, Carlos", "FW: Criminal Indictments", "Mann, Kay", "Negative", "The Wall Street Journal", "Editorial", "Lay, Skilling, Fastow, Arthur Andersen, Bill Lockyer, Walter Forbes", "Energy trading", "Enron's collapse", "Republican"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, Sender's name, Subject, Receivers' name, Opinionated tone, Publication name, Article type, Individuals named, Industry, Event, Political affiliation.
This is the Text: Good op ed piece.
-----Original Message-----
From: Sole III, Carlos
Sent: Friday, November 30, 2001 10:39 AM
To: Mann, Kay
Subject: FW: Criminal Indictments
This will make you mad again.
-----Original Message-----
From: Sole III, Carlos
Sent: Friday, November 30, 2001 10:31 AM
To: 'phil_patman@yahoo.com'; Harris, Bruce
Subject: Criminal Indictments
I'm still sorting through all of the WSJ articles, but if you read this one, I think it's clear that Lay, Skilling, Fastow, Arthur Andersen and others will have criminal prosecutions and disgourgements. It is very rare that the WSJ with its conservative bent and with a Republican President writes this type of Op-Ed. Nevertheless, the article already sets the predicate of Lay's defense that he did not fully comprehend what was going on and, thus, lacked the mens rea for the crimes that Skilling and Fastow will be charged with.
REVIEW & OUTLOOK (Editorial)
Investigating Enron
11/30/2001
The Wall Street Journal
A14
(Copyright (c) 2001, Dow Jones & Company, Inc.)
You can cut the Schadenfreude with a machete these days as Enron careens toward failure. Like any fast-rising, innovative business, the energy trader made enemies, some with a fair grievance and some not. We hope the inevitable (and necessary) investigations keep in mind the difference.
Enron was a forthright advocate of competition, as every obituary of the past few days has noted. Some see the firm's collapse as discrediting the market economics it championed, though the opposite is closer to the truth.
It strikes us that Enron was partly a victim of its own success. Its revenues quadrupled in a year, thanks to the fillip that California's troubles provided to the wholesale power market. But profits were up much less -- i.e., Enron was earning thinner margins in the energy-trading business it pioneered. The new industry quickly became too competitive and transparent to afford any windfalls, just as deregulation admirers would have predicted.
Enron does not own U.S. power plants and generally did not seem to make outsized profits on power for resale in, say, California. But that didn't stop California's eccentric attorney general, Bill Lockyer, from blaming Enron CEO Ken Lay for that state's electricity mismanagement. Last summer he told a Wall Street Journal reporter that, "I would love to personally escort Lay to an 8x10 cell that he could share with a tattooed dude who says, `Hi my name is Spike, honey.'" Consider that an unfair grievance.
Accounting matters are more troubling. The struggle for a century has been to make sure corporate managers don't pursue their own agendas at the expense of owners. The emergence of special partnerships, controlled and owned by Enron's own senior officers, with which the company did some of its murkiest deals, would cause even libertarians to wonder what's been going on. Clearly Mr. Lay didn't fully understand what former Enron CEO Jeffrey Skilling was up to, and shareholders weren't told either.
At the same time, Enron officers had a large amount of personal wealth tied up in Enron stock, which has fallen from $90 to 61 cents. So the mere existence of these partnership deals does not automatically indicate corrupt intent. Only a detailed investigation can resolve whether these deals were honestly motivated, and whether Enron's (and Arthur Andersen's) interpretation of accounting rules was defensible. In any case, trial lawyers will descend to squeeze every penny out of Enron's troubles for themselves (and for shareholders or employees who held Enron stock in their 401(k)s).
As for the investigations, we hope they won't be influenced one way or another by long connections between Mr. Lay and President Bush. Even the hint of special treatment would be a political disaster, especially for an Administration that promised to clean up after Bill Clinton.
While tradition has been not to make criminal matters out of accounting scandals, exceptions have arisen recently. Federal prosecutors in New York have gone after Walter Forbes, who sold his company to Cendant, giving rise to what before Enron was the nation's most costly stock meltdown due to bad accounting. San Francisco prosecutors recently extracted guilty pleas from executives of Aurora Foods over their treatment of trade promotion expenses for their portfolio of "orphan" brands as capital expenditures.
Enron is an opportunity for the Bush team to show it can police similar financial chicanery, if some is found. Sorting the capitalists from the crooks is one way of protecting capitalism.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Flight Date, From, Departure Time, Arrival Time, Flight Number, Reservation Number.
This is the Text: Jeff,
Looks like they changed the return to an earlier flight....only by a FEW
MINUTES.
Thanks TJae
---------------------- Forwarded by Tamara Jae Black/HOU/ECT on 05/02/2001
10:25 AM ---------------------------
JANET SKOOG <jskoog_vitoltvl@yahoo.com> on 05/02/2001 10:11:10 AM
To: TBLACK2@ENRON.COM
cc:
Subject: KING - JUNE OKLAHOMA ITIN/SCHEDULE CHANGE ON RETURN
AGENT VA/JS BOOKING REF
YYDCJI
KING/JEFF
ENRON
1400 SMITH
HOUSTON TX 77002
ATTN TJAE BLACK X 35800
DATE: MAY 02 2001
SERVICE DATE FROM TO DEPART
ARRIVE
CONTINENTAL AIRLINES 12JUN HOUSTON TX OKLAHOMA CI OK 235P 359P
CO 1265 T TUE G.BUSH INTERCO WILL ROGER
TERMINAL C
NON STOP
RESERVATION CONFIRMED 1:24 DURATION
AIRCRAFT: BOEING 737-500
SEAT 07C NO SMOKING CONFIRMED KING/JEFF
CONTINENTAL AIRLINES 15JUN TULSA OK HOUSTON TX 430P 607P
CO 1466 V FRI INTERNATIONAL G.BUSH INTERCO
TERMINAL C
NON STOP
RESERVATION CONFIRMED 1:37 DURATION
AIRCRAFT: MCDONNELL DOUGLAS ALL MD-80 SERIES
SEAT 06C NO SMOKING CONFIRMED KING/JEFF
RESERVATION NUMBER(S) CO/N2KXQT
KING/JEFF TICKET:CO/ETKT 005 7026661976
CO FREQUENT FLYER COKX401801
***********************************************
THIS IS A TICKETLESS RESERVATION. PLEASE HAVE A
PICTURE ID AVAILABLE AT THE AIRPORT. THANK YOU
***********************************************
NON-REFUNDABLE TKT MINIMUM $100.00 CHANGE FEE
***********************************************
THANK YOU FOR CALLING VITOL TRAVEL
=====
VITOL TRAVEL
1100 LOUISIANA STE-3230
HOUSTON TX 77002
713-759-1444 - PHONE
713-759-9006 - FAX
__________________________________________________
Do You Yahoo!?
Yahoo! Auctions - buy the things you want at great prices
http://auctions.yahoo.com/.
### Response: {"Parameters": ["Flight Date", "From", "Departure Time", "Arrival Time", "Flight Number", "Reservation Number"], "Values": ["12JUN", "Houston TX", "235P", "359P", "CO 1265", "CO/N2KXQT"]} | {"Parameters": ["Flight Date", "From", "Departure Time", "Arrival Time", "Flight Number", "Reservation Number"], "Values": ["12JUN", "Houston TX", "235P", "359P", "CO 1265", "CO/N2KXQT"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Flight Date, From, Departure Time, Arrival Time, Flight Number, Reservation Number.
This is the Text: Jeff,
Looks like they changed the return to an earlier flight....only by a FEW
MINUTES.
Thanks TJae
---------------------- Forwarded by Tamara Jae Black/HOU/ECT on 05/02/2001
10:25 AM ---------------------------
JANET SKOOG <jskoog_vitoltvl@yahoo.com> on 05/02/2001 10:11:10 AM
To: TBLACK2@ENRON.COM
cc:
Subject: KING - JUNE OKLAHOMA ITIN/SCHEDULE CHANGE ON RETURN
AGENT VA/JS BOOKING REF
YYDCJI
KING/JEFF
ENRON
1400 SMITH
HOUSTON TX 77002
ATTN TJAE BLACK X 35800
DATE: MAY 02 2001
SERVICE DATE FROM TO DEPART
ARRIVE
CONTINENTAL AIRLINES 12JUN HOUSTON TX OKLAHOMA CI OK 235P 359P
CO 1265 T TUE G.BUSH INTERCO WILL ROGER
TERMINAL C
NON STOP
RESERVATION CONFIRMED 1:24 DURATION
AIRCRAFT: BOEING 737-500
SEAT 07C NO SMOKING CONFIRMED KING/JEFF
CONTINENTAL AIRLINES 15JUN TULSA OK HOUSTON TX 430P 607P
CO 1466 V FRI INTERNATIONAL G.BUSH INTERCO
TERMINAL C
NON STOP
RESERVATION CONFIRMED 1:37 DURATION
AIRCRAFT: MCDONNELL DOUGLAS ALL MD-80 SERIES
SEAT 06C NO SMOKING CONFIRMED KING/JEFF
RESERVATION NUMBER(S) CO/N2KXQT
KING/JEFF TICKET:CO/ETKT 005 7026661976
CO FREQUENT FLYER COKX401801
***********************************************
THIS IS A TICKETLESS RESERVATION. PLEASE HAVE A
PICTURE ID AVAILABLE AT THE AIRPORT. THANK YOU
***********************************************
NON-REFUNDABLE TKT MINIMUM $100.00 CHANGE FEE
***********************************************
THANK YOU FOR CALLING VITOL TRAVEL
=====
VITOL TRAVEL
1100 LOUISIANA STE-3230
HOUSTON TX 77002
713-759-1444 - PHONE
713-759-9006 - FAX
__________________________________________________
Do You Yahoo!?
Yahoo! Auctions - buy the things you want at great prices
http://auctions.yahoo.com/. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Name, Effective Date, Parties Involved, Purpose of the Agreement, Non-Disclosure Period, Rules of Non-circumvention and Non-disclosure, Associates/ Contacts, Confidentiality, Exceptions to Non-disclosure.
This is the Text: Premise: NON-CIRCUMVENTION AND NON-DISCLOSURE AGREEMENT This Non-Circumvention and Non-Disclosure Agreement (hereinafter referred to as the "Agreement" is made this 6th of February, 1999 by and between High Speed Net Solutions and R. J. Seifert Enterprises. Collectively, all the parties hereto may be referred to hereinafter as the "Parties", shall include both disclosing party and informed party without prejudice. Whereas, the Parties wish to associate themselves for the purpose of working together for their individual and common benefit. Now, therefore, in consideration of the representations, agreements, promises and covenants contained herein and other good and valuable consideration, the receipt and sufficiency of which is hereby acknowledged, the Parties agree as follows: 1. The Parties agree to abide by the following rules of non-circumvention and non-disclosure for a period of Two years from the effective date hereof. Such covenant and agreement shall survive termination of this Agreement for any reason whatsoever. a) Each Party, for itself and its associates as defined below, represents and warrants that it shall not conduct business with any sources or contacts, or said source's or contact's associates as defined below, that are originally made known and/or available by another Party hereto, at any time or in any manner, without the express written permission (not to be unreasonably withheld) of the Party who made the source(s) known and/or available. b) For purposes of this Agreement, the term "associates" or "contacts" shall be defined as: in the case of a business entity its officers, directors, affiliates, subsidiaries, associated entities, and any other business entity in which the business entity owns five percent (5%) or more of the outstanding equity interest. c) The Parties will maintain complete confidentiality regarding this Agreement and all transactions occurring thereunder, each other's business, business sources and affiliates and each other's propriety knowledge and know-how, and will disclose such information only pursuant to the express written permission of the party
Hypothesis: Receiving Party may acquire information similar to Confidential Information from a third party..
### Response: {"Parameters": ["Agreement Name", "Effective Date", "Parties Involved", "Purpose of the Agreement", "Non-Disclosure Period", "Rules of Non-circumvention and Non-disclosure", "Associates/ Contacts", "Confidentiality", "Exceptions to Non-disclosure"], "Values": ["Non-Circumvention and Non-Disclosure Agreement", "6th February 1999", "High Speed Net Solutions and R. J. Seifert Enterprises", "Working together for individual and common benefit", "Two years", "Not to conduct business with any sources or contacts without express written permission of the party who made sources available", "Officers, directors, affiliates, subsidiaries, associated entities etc. of a business entity in which the business entity owns 5% or more of the outstanding equity interest", "Complete confidentiality to be maintained regarding all the transactions occurring thereunder and each other's proprietary knowledge and know-how", "Receiving Party may acquire information similar to Confidential Information from a third party with written prior consent from Disclosing Party."]} | {"Parameters": ["Agreement Name", "Effective Date", "Parties Involved", "Purpose of the Agreement", "Non-Disclosure Period", "Rules of Non-circumvention and Non-disclosure", "Associates/ Contacts", "Confidentiality", "Exceptions to Non-disclosure"], "Values": ["Non-Circumvention and Non-Disclosure Agreement", "6th February 1999", "High Speed Net Solutions and R. J. Seifert Enterprises", "Working together for individual and common benefit", "Two years", "Not to conduct business with any sources or contacts without express written permission of the party who made sources available", "Officers, directors, affiliates, subsidiaries, associated entities etc. of a business entity in which the business entity owns 5% or more of the outstanding equity interest", "Complete confidentiality to be maintained regarding all the transactions occurring thereunder and each other's proprietary knowledge and know-how", "Receiving Party may acquire information similar to Confidential Information from a third party with written prior consent from Disclosing Party."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Name, Effective Date, Parties Involved, Purpose of the Agreement, Non-Disclosure Period, Rules of Non-circumvention and Non-disclosure, Associates/ Contacts, Confidentiality, Exceptions to Non-disclosure.
This is the Text: Premise: NON-CIRCUMVENTION AND NON-DISCLOSURE AGREEMENT This Non-Circumvention and Non-Disclosure Agreement (hereinafter referred to as the "Agreement" is made this 6th of February, 1999 by and between High Speed Net Solutions and R. J. Seifert Enterprises. Collectively, all the parties hereto may be referred to hereinafter as the "Parties", shall include both disclosing party and informed party without prejudice. Whereas, the Parties wish to associate themselves for the purpose of working together for their individual and common benefit. Now, therefore, in consideration of the representations, agreements, promises and covenants contained herein and other good and valuable consideration, the receipt and sufficiency of which is hereby acknowledged, the Parties agree as follows: 1. The Parties agree to abide by the following rules of non-circumvention and non-disclosure for a period of Two years from the effective date hereof. Such covenant and agreement shall survive termination of this Agreement for any reason whatsoever. a) Each Party, for itself and its associates as defined below, represents and warrants that it shall not conduct business with any sources or contacts, or said source's or contact's associates as defined below, that are originally made known and/or available by another Party hereto, at any time or in any manner, without the express written permission (not to be unreasonably withheld) of the Party who made the source(s) known and/or available. b) For purposes of this Agreement, the term "associates" or "contacts" shall be defined as: in the case of a business entity its officers, directors, affiliates, subsidiaries, associated entities, and any other business entity in which the business entity owns five percent (5%) or more of the outstanding equity interest. c) The Parties will maintain complete confidentiality regarding this Agreement and all transactions occurring thereunder, each other's business, business sources and affiliates and each other's propriety knowledge and know-how, and will disclose such information only pursuant to the express written permission of the party
Hypothesis: Receiving Party may acquire information similar to Confidential Information from a third party.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: invoice_date, item_1_gross_worth, client, total_net_worth, seller_tax_id, NH 84339, seller, DC 71720, item_1_net_worth, item_1_vat.
This is the Text: ice_no 67095041 invoice_date 12/14/2018 seller Wade Scott and Glover 9022 Jeffrey Course Apt. 247 Tylershire DC 71720 client Bernard Welch and Freeman 06193 Julia Row Michelleburgh NH 84339 seller_tax_id 985-88-4789 client_tax_id 905-74-4614 iban GB44IJGO64103154190692 item_1_desc Champagne Glass Holder Storage Bar Accessory with Shelf Wall Mount Wine Holder item_1_qty 4 item_1_net_price CHF19.99 item_1_net_worth CHF79.96 item_1_vat 10% item_1_gross_worth CHF87.96 total_net_worth CHF79.96 total_vat 8 total_gross_worth CHF87.96.
### Response: {'Parameters': ['invoice_date', 'item_1_gross_worth', 'client', 'total_net_worth', 'seller_tax_id', 'seller', 'item_1_net_worth', 'item_1_vat'], 'Values': ['12/14/2018', 'CHF87.96', 'Bernard', 'CHF79.96', '985-88-4789', 'Wade', 'CHF79.96', '10%']} | {'Parameters': ['invoice_date', 'item_1_gross_worth', 'client', 'total_net_worth', 'seller_tax_id', 'seller', 'item_1_net_worth', 'item_1_vat'], 'Values': ['12/14/2018', 'CHF87.96', 'Bernard', 'CHF79.96', '985-88-4789', 'Wade', 'CHF79.96', '10%']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: invoice_date, item_1_gross_worth, client, total_net_worth, seller_tax_id, NH 84339, seller, DC 71720, item_1_net_worth, item_1_vat.
This is the Text: ice_no 67095041 invoice_date 12/14/2018 seller Wade Scott and Glover 9022 Jeffrey Course Apt. 247 Tylershire DC 71720 client Bernard Welch and Freeman 06193 Julia Row Michelleburgh NH 84339 seller_tax_id 985-88-4789 client_tax_id 905-74-4614 iban GB44IJGO64103154190692 item_1_desc Champagne Glass Holder Storage Bar Accessory with Shelf Wall Mount Wine Holder item_1_qty 4 item_1_net_price CHF19.99 item_1_net_worth CHF79.96 item_1_vat 10% item_1_gross_worth CHF87.96 total_net_worth CHF79.96 total_vat 8 total_gross_worth CHF87.96. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_net_price, item_4_gross_worth, item_3_desc, total_net_worth, item_2_desc, total_net_worth, total_vat, item_4_desc, item_1_gross_worth.
This is the Text: ice_no 65428348 invoice_date 07/27/2017 seller Perez Ltd PSC 1848 Box 8316 APO AA 15675 client Diaz LLC 387 Anthony Garden West Margaretside NH 43447 seller_tax_id 945-81-8549 client_tax_id 914-77-7181 iban GB34FPYD88234862125581 item_1_desc Jams World Hawaiian D Dress Rayon SZ.L item_1_qty 1 item_1_net_price 65 item_1_net_worth 65 item_1_vat 10% item_1_gross_worth €71.50 item_2_desc Liza Byrd Dress Sz L- Coral Green Medallion Print Short Sleeve 100% Cotton Line item_2_qty 2 item_2_net_price €17.99 item_2_net_worth €35.98 item_2_vat 10% item_2_gross_worth €39.58 item_3_desc SCOTT MCCINTOCK SIZE 12 BLACK PARTY DRESS WITH SPARKLIND TOP item_3_qty 5 item_3_net_price 25 item_3_net_worth 125 item_3_vat 10% item_3_gross_worth €137.50 item_4_desc Jams World Hawaiian 0 Dress Rayon SZ.L item_4_qty 5 item_4_net_price 65 item_4_net_worth 325 item_4_vat 10% item_4_gross_worth €357.50 item_5_desc Jcrew Mercantile Women's Maxi Dress Size 2 Floral Tiered Lined Pink item_5_qty 3 item_5_net_price 20 total_net_worth 60 item_5_vat 10% item_5_gross_worth 66 total_net_worth €610.98 total_vat €61.10 total_gross_worth €672.08.
### Response: {'Parameters': ['item_2_net_price', 'item_4_gross_worth', 'item_3_desc', 'total_net_worth', 'item_2_desc', 'total_net_worth', 'total_vat', 'item_4_desc', 'item_1_gross_worth'], 'Values': ['€17.99', '€357.50', 'SCOTT MCCINTOCK SIZE 12 BLACK PARTY DRESS WITH SPARKLIND TOP', '60', 'Liza Byrd Dress Sz L- Coral Green Medallion Print Short Sleeve 100% Cotton Line', '€610.98', '€61.10', 'Jams World Hawaiian 0 Dress Rayon SZ.L', '€71.50']} | {'Parameters': ['item_2_net_price', 'item_4_gross_worth', 'item_3_desc', 'total_net_worth', 'item_2_desc', 'total_net_worth', 'total_vat', 'item_4_desc', 'item_1_gross_worth'], 'Values': ['€17.99', '€357.50', 'SCOTT MCCINTOCK SIZE 12 BLACK PARTY DRESS WITH SPARKLIND TOP', '60', 'Liza Byrd Dress Sz L- Coral Green Medallion Print Short Sleeve 100% Cotton Line', '€610.98', '€61.10', 'Jams World Hawaiian 0 Dress Rayon SZ.L', '€71.50']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_net_price, item_4_gross_worth, item_3_desc, total_net_worth, item_2_desc, total_net_worth, total_vat, item_4_desc, item_1_gross_worth.
This is the Text: ice_no 65428348 invoice_date 07/27/2017 seller Perez Ltd PSC 1848 Box 8316 APO AA 15675 client Diaz LLC 387 Anthony Garden West Margaretside NH 43447 seller_tax_id 945-81-8549 client_tax_id 914-77-7181 iban GB34FPYD88234862125581 item_1_desc Jams World Hawaiian D Dress Rayon SZ.L item_1_qty 1 item_1_net_price 65 item_1_net_worth 65 item_1_vat 10% item_1_gross_worth €71.50 item_2_desc Liza Byrd Dress Sz L- Coral Green Medallion Print Short Sleeve 100% Cotton Line item_2_qty 2 item_2_net_price €17.99 item_2_net_worth €35.98 item_2_vat 10% item_2_gross_worth €39.58 item_3_desc SCOTT MCCINTOCK SIZE 12 BLACK PARTY DRESS WITH SPARKLIND TOP item_3_qty 5 item_3_net_price 25 item_3_net_worth 125 item_3_vat 10% item_3_gross_worth €137.50 item_4_desc Jams World Hawaiian 0 Dress Rayon SZ.L item_4_qty 5 item_4_net_price 65 item_4_net_worth 325 item_4_vat 10% item_4_gross_worth €357.50 item_5_desc Jcrew Mercantile Women's Maxi Dress Size 2 Floral Tiered Lined Pink item_5_qty 3 item_5_net_price 20 total_net_worth 60 item_5_vat 10% item_5_gross_worth 66 total_net_worth €610.98 total_vat €61.10 total_gross_worth €672.08. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: ND 03997, item_1_qty, invoice_date, item_1_vat, Box 6819 APO AP 69267, total_net_worth, item_1_desc, item_1_net_price, iban, total_vat.
This is the Text: ice_no 88273503 invoice_date 01/17/2021 seller Clark and Sons 678 Sonya Shores Port Christophershire ND 03997 client Rodriguez-yennings PSC 1100 Box 6819 APO AP 69267 seller_tax_id 983-90-0612 client_tax_id 941-79-6390 iban GB58KHJM79703180709994 item_1_desc AMD Dual Core CHF3.9Ghz 4GB DDR3 500GB WiFi Windows 10 office Desktop PC Computer item_1_qty 2 item_1_net_price CHF249.99 item_1_net_worth CHF499.98 item_1_vat 10% item_1_gross_worth CHF549.98 total_net_worth CHF499.98 total_vat 50 total_gross_worth CHF549.98.
### Response: {'Parameters': ['item_1_qty', 'invoice_date', 'item_1_vat', 'total_net_worth', 'item_1_desc', 'item_1_net_price', 'iban', 'total_vat'], 'Values': ['2', '01/17/2021', '10%', 'CHF499.98', 'AMD Dual Core CHF3.9Ghz 4GB DDR3 500GB WiFi Windows 10 office Desktop PC Computer', 'CHF249.99', 'GB58KHJM79703180709994', '50']} | {'Parameters': ['item_1_qty', 'invoice_date', 'item_1_vat', 'total_net_worth', 'item_1_desc', 'item_1_net_price', 'iban', 'total_vat'], 'Values': ['2', '01/17/2021', '10%', 'CHF499.98', 'AMD Dual Core CHF3.9Ghz 4GB DDR3 500GB WiFi Windows 10 office Desktop PC Computer', 'CHF249.99', 'GB58KHJM79703180709994', '50']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: ND 03997, item_1_qty, invoice_date, item_1_vat, Box 6819 APO AP 69267, total_net_worth, item_1_desc, item_1_net_price, iban, total_vat.
This is the Text: ice_no 88273503 invoice_date 01/17/2021 seller Clark and Sons 678 Sonya Shores Port Christophershire ND 03997 client Rodriguez-yennings PSC 1100 Box 6819 APO AP 69267 seller_tax_id 983-90-0612 client_tax_id 941-79-6390 iban GB58KHJM79703180709994 item_1_desc AMD Dual Core CHF3.9Ghz 4GB DDR3 500GB WiFi Windows 10 office Desktop PC Computer item_1_qty 2 item_1_net_price CHF249.99 item_1_net_worth CHF499.98 item_1_vat 10% item_1_gross_worth CHF549.98 total_net_worth CHF499.98 total_vat 50 total_gross_worth CHF549.98. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Name, Address, Phone, Fax, Email, Date, Recipient, Subject.
This is the Text: I thought Bert had done that, but I will ask him to double check.
>>> <Sara.Shackleton@enron.com> 05/01/01 04:19PM >>>
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
----- Forwarded by Sara Shackleton/HOU/ECT on 05/01/2001 06:18 PM -----
Sara
Shackleton To: "Dick D VARNER"
<Dick.Varner@EWEB.Eugene.OR.US>@ENRON
cc: Kimberly
Hundl/Corp/Enron@Enron
05/01/2001 Subject: Re: Representations for
ISDA Transaction(Document link: Sara
05:11 PM Shackleton)
Dick:
That will be fine. However, you need to attach the trade confirmation (
marked Exhibit "A") to each of your certificates since that is how each
certificate is drafted.
Thus, for the April 12, 2001 transaction, please resend your certificates
with the appropriate attachments as referenced in the certificates.
Please call if you have any questions.
Thanks for ;your assistance.
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
"Dick D VARNER"
<Dick.Varner@EWEB.Eug To:
<Sara.Shackleton@enron.com>
ene.OR.US> cc:
Subject: Re:
Representations for ISDA Transaction
05/01/2001 04:02 PM
From our end, we would like to have the direct reference to the specific
confirm. I know it is a little more hassle, but it works better for us
politically.
>>> <Sara.Shackleton@enron.com> 05/01/01 01:14PM >>>
Dick:
I never heard back from you regarding my email of 4/18/01. I had asked if
you would mind revising the forms of certificate which we will attach to
each trade confirmation.
We would appreciate revisions to the April 12, 2001 certificates. This
will be the format for all future transactions.
Please send revisions to Kimberly Hundl. Her phone number is (713)
853-1647 and fax if (713) 646-2443.
Thanks.
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
----- Forwarded by Sara Shackleton/HOU/ECT on 05/01/2001 03:07 PM -----
Sara
Shackleton To: "Dick D VARNER"
<Dick.Varner@EWEB.Eugene.OR.US>@ENRON
cc: Kimberly
Hundl/Corp/Enron@Enron
04/18/2001 Subject: Re: Representations
for ISDA Transaction(Document link: Sara
10:57 AM Shackleton)
Dick:
I am suggesting a minor change to the "Power Risk Management Committee"
certificate (to eliminate the reference to the Exhibit "A"). If we leave
the reference in the certificate, you will always have to label the confirm
as Exhibit "A" and resend the completed papers to us. Please let me know
if you are alright with this change. If so, we ask that you please resend
the certificate dated April 12, 2001. If you do not wish to make the
change, please resend the two certificates to which the confirmation
labeled Exhibit "A" is attached.
Please call if you have any questions. Thanks.
(See attached file: EWEBISDA Confirm RepresentationsR1.doc)
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
"Dick D VARNER"
<Dick.Varner@EWEB.Eug To:
<Sara.Shackleton@enron.com>
ene.OR.US> cc:
<Holli.Krebs@enron.com>
Subject: Re:
Representations for ISDA Transaction
04/12/2001 07:00 PM
Thanks, Sara. No problem making the changes.
>>> <Sara.Shackleton@enron.com> 04/12/01 01:56PM >>>
Dick:
Attached are my comments to the certificates. We will need to attach the
form of confirmation to be certain that each particular transaction is
authorized. Let me know if you have any questions. Thanks.
(See attached file: EWEBISDA Confirm RepresentationsR1.doc)
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
"Dick D VARNER"
<Dick.Varner@EWEB.Eug To:
<sara.shackleton@enron.com>
ene.OR.US> cc:
<Holli.Krebs@enron.com>, "Bert I DUNN"
<Bert.Dunn@EWEB.Eugene.OR.US>
04/12/2001 11:09 AM Subject:
Representations for ISDA Transaction
Attached are drafts of two certificates which I believe will satisfy you
needs. Please get back to me with any comments.
(See attached file: ISDA Confirm Representations).
### Response: {"Parameters": ["Name", "Address", "Phone", "Fax", "Email", "Date", "Recipient", "Subject"], "Values": ["Sara Shackleton", "1400 Smith Street, EB 3801a, Houston, Texas 77002", "713-853-5620", "713-646-3490", "sara.shackleton@enron.com", "04/18/2001", "Dick D VARNER <Dick.Varner@EWEB.Eugene.OR.US>@ENRON", "Re: Representations for ISDA Transaction"]} | {"Parameters": ["Name", "Address", "Phone", "Fax", "Email", "Date", "Recipient", "Subject"], "Values": ["Sara Shackleton", "1400 Smith Street, EB 3801a, Houston, Texas 77002", "713-853-5620", "713-646-3490", "sara.shackleton@enron.com", "04/18/2001", "Dick D VARNER <Dick.Varner@EWEB.Eugene.OR.US>@ENRON", "Re: Representations for ISDA Transaction"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Name, Address, Phone, Fax, Email, Date, Recipient, Subject.
This is the Text: I thought Bert had done that, but I will ask him to double check.
>>> <Sara.Shackleton@enron.com> 05/01/01 04:19PM >>>
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
----- Forwarded by Sara Shackleton/HOU/ECT on 05/01/2001 06:18 PM -----
Sara
Shackleton To: "Dick D VARNER"
<Dick.Varner@EWEB.Eugene.OR.US>@ENRON
cc: Kimberly
Hundl/Corp/Enron@Enron
05/01/2001 Subject: Re: Representations for
ISDA Transaction(Document link: Sara
05:11 PM Shackleton)
Dick:
That will be fine. However, you need to attach the trade confirmation (
marked Exhibit "A") to each of your certificates since that is how each
certificate is drafted.
Thus, for the April 12, 2001 transaction, please resend your certificates
with the appropriate attachments as referenced in the certificates.
Please call if you have any questions.
Thanks for ;your assistance.
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
"Dick D VARNER"
<Dick.Varner@EWEB.Eug To:
<Sara.Shackleton@enron.com>
ene.OR.US> cc:
Subject: Re:
Representations for ISDA Transaction
05/01/2001 04:02 PM
From our end, we would like to have the direct reference to the specific
confirm. I know it is a little more hassle, but it works better for us
politically.
>>> <Sara.Shackleton@enron.com> 05/01/01 01:14PM >>>
Dick:
I never heard back from you regarding my email of 4/18/01. I had asked if
you would mind revising the forms of certificate which we will attach to
each trade confirmation.
We would appreciate revisions to the April 12, 2001 certificates. This
will be the format for all future transactions.
Please send revisions to Kimberly Hundl. Her phone number is (713)
853-1647 and fax if (713) 646-2443.
Thanks.
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
----- Forwarded by Sara Shackleton/HOU/ECT on 05/01/2001 03:07 PM -----
Sara
Shackleton To: "Dick D VARNER"
<Dick.Varner@EWEB.Eugene.OR.US>@ENRON
cc: Kimberly
Hundl/Corp/Enron@Enron
04/18/2001 Subject: Re: Representations
for ISDA Transaction(Document link: Sara
10:57 AM Shackleton)
Dick:
I am suggesting a minor change to the "Power Risk Management Committee"
certificate (to eliminate the reference to the Exhibit "A"). If we leave
the reference in the certificate, you will always have to label the confirm
as Exhibit "A" and resend the completed papers to us. Please let me know
if you are alright with this change. If so, we ask that you please resend
the certificate dated April 12, 2001. If you do not wish to make the
change, please resend the two certificates to which the confirmation
labeled Exhibit "A" is attached.
Please call if you have any questions. Thanks.
(See attached file: EWEBISDA Confirm RepresentationsR1.doc)
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
"Dick D VARNER"
<Dick.Varner@EWEB.Eug To:
<Sara.Shackleton@enron.com>
ene.OR.US> cc:
<Holli.Krebs@enron.com>
Subject: Re:
Representations for ISDA Transaction
04/12/2001 07:00 PM
Thanks, Sara. No problem making the changes.
>>> <Sara.Shackleton@enron.com> 04/12/01 01:56PM >>>
Dick:
Attached are my comments to the certificates. We will need to attach the
form of confirmation to be certain that each particular transaction is
authorized. Let me know if you have any questions. Thanks.
(See attached file: EWEBISDA Confirm RepresentationsR1.doc)
Sara Shackleton
Enron North America Corp.
1400 Smith Street, EB 3801a
Houston, Texas 77002
713-853-5620 (phone)
713-646-3490 (fax)
sara.shackleton@enron.com
"Dick D VARNER"
<Dick.Varner@EWEB.Eug To:
<sara.shackleton@enron.com>
ene.OR.US> cc:
<Holli.Krebs@enron.com>, "Bert I DUNN"
<Bert.Dunn@EWEB.Eugene.OR.US>
04/12/2001 11:09 AM Subject:
Representations for ISDA Transaction
Attached are drafts of two certificates which I believe will satisfy you
needs. Please get back to me with any comments.
(See attached file: ISDA Confirm Representations). |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_vat, item_6_vat, client_tax_id, item_4_desc, item_3_vat, item_7_net_worth, item_3_gross_worth, KY 79023, item_2_gross_worth, item_4_gross_worth.
This is the Text: ice_no 86602235 invoice_date 04/03/2021 seller Yoder Inc 0908 Corey Key East Bobbymouth KY 79023 client Barnes-Morton 329 Marcia Lodge Port Markview AL 25138 seller_tax_id 928-77-9757 client_tax_id 915-79-3513 iban GB71QJNA44395529511929 item_1_desc Pond Scenery Fish Area Rugs Kitchen Rug Bedroom Floor Mat Non-slip Carpet Decor item_1_qty 3 item_1_net_price $13.73 item_1_net_worth $41.19 item_1_vat 10% item_1_gross_worth $45.31 item_2_desc Nordic Braided Tassels Sofa Rugs Area Rug Soft Mat Palm Leaves Room Carpet item_2_qty 5 item_2_net_price $186.54 item_2_net_worth $932.70 item_2_vat 10% item_2_gross_worth $1025.97 item_3_desc Abstract Blue Gray Gradient Bedside Area Rugs Bedroom Decor Carpets Non-Slip Mat item_3_qty 4 item_3_net_price $36.98 item_3_net_worth $147.92 item_3_vat 10% item_3_gross_worth $162.71 item_4_desc YILONG $1.2x$1.7' 300L Tree And Birds Handmade Silk Rug Carpet Tapestry LH691A item_4_qty 1 item_4_net_price 188 item_4_net_worth 188 item_4_vat 10% item_4_gross_worth $206.80 item_5_desc 5x6 Geometric Modern Gabbeh Kashkoli Oriental Area Rug Hand-knotted Foyer Carpet item_5_qty 4 item_5_net_price $310.68 item_5_net_worth $1242.72 item_5_vat 10% item_5_gross_worth $1366.99 item_6_desc Victorian European Country Traditional Floral Floor Mat Area Rug Carpet Beige U item_6_qty 4 item_6_net_price 178 item_6_net_worth 712 item_6_vat 10% item_6_gross_worth $783.20 item_7_desc Floor Mat Kitchen Bedroom Bathroom Non Slip Doormat Carpet Area Rug 180x60cm item_7_qty 4 item_7_net_price $31.58 item_7_net_worth $126.32 item_7_vat 10% item_7_gross_worth $138.95 total_net_worth $3390.85 total_vat $339.09 total_gross_worth $3729.94.
### Response: {'Parameters': ['item_5_vat', 'item_6_vat', 'client_tax_id', 'item_4_desc', 'item_3_vat', 'item_7_net_worth', 'item_3_gross_worth', 'item_2_gross_worth', 'item_4_gross_worth'], 'Values': ['10%', '10%', '915-79-3513', "YILONG $1.2x$1.7' 300L Tree And Birds Handmade Silk Rug Carpet Tapestry LH691A", '10%', '$126.32', '$162.71', '$1025.97', '$206.80']} | {'Parameters': ['item_5_vat', 'item_6_vat', 'client_tax_id', 'item_4_desc', 'item_3_vat', 'item_7_net_worth', 'item_3_gross_worth', 'item_2_gross_worth', 'item_4_gross_worth'], 'Values': ['10%', '10%', '915-79-3513', "YILONG $1.2x$1.7' 300L Tree And Birds Handmade Silk Rug Carpet Tapestry LH691A", '10%', '$126.32', '$162.71', '$1025.97', '$206.80']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_vat, item_6_vat, client_tax_id, item_4_desc, item_3_vat, item_7_net_worth, item_3_gross_worth, KY 79023, item_2_gross_worth, item_4_gross_worth.
This is the Text: ice_no 86602235 invoice_date 04/03/2021 seller Yoder Inc 0908 Corey Key East Bobbymouth KY 79023 client Barnes-Morton 329 Marcia Lodge Port Markview AL 25138 seller_tax_id 928-77-9757 client_tax_id 915-79-3513 iban GB71QJNA44395529511929 item_1_desc Pond Scenery Fish Area Rugs Kitchen Rug Bedroom Floor Mat Non-slip Carpet Decor item_1_qty 3 item_1_net_price $13.73 item_1_net_worth $41.19 item_1_vat 10% item_1_gross_worth $45.31 item_2_desc Nordic Braided Tassels Sofa Rugs Area Rug Soft Mat Palm Leaves Room Carpet item_2_qty 5 item_2_net_price $186.54 item_2_net_worth $932.70 item_2_vat 10% item_2_gross_worth $1025.97 item_3_desc Abstract Blue Gray Gradient Bedside Area Rugs Bedroom Decor Carpets Non-Slip Mat item_3_qty 4 item_3_net_price $36.98 item_3_net_worth $147.92 item_3_vat 10% item_3_gross_worth $162.71 item_4_desc YILONG $1.2x$1.7' 300L Tree And Birds Handmade Silk Rug Carpet Tapestry LH691A item_4_qty 1 item_4_net_price 188 item_4_net_worth 188 item_4_vat 10% item_4_gross_worth $206.80 item_5_desc 5x6 Geometric Modern Gabbeh Kashkoli Oriental Area Rug Hand-knotted Foyer Carpet item_5_qty 4 item_5_net_price $310.68 item_5_net_worth $1242.72 item_5_vat 10% item_5_gross_worth $1366.99 item_6_desc Victorian European Country Traditional Floral Floor Mat Area Rug Carpet Beige U item_6_qty 4 item_6_net_price 178 item_6_net_worth 712 item_6_vat 10% item_6_gross_worth $783.20 item_7_desc Floor Mat Kitchen Bedroom Bathroom Non Slip Doormat Carpet Area Rug 180x60cm item_7_qty 4 item_7_net_price $31.58 item_7_net_worth $126.32 item_7_vat 10% item_7_gross_worth $138.95 total_net_worth $3390.85 total_vat $339.09 total_gross_worth $3729.94. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_qty, client_tax_id, total_net_worth, item_3_net_price, item_6_desc, item_5_vat.
This is the Text: ice_no 93035437 invoice_date 07/23/2017 seller Barber LLC 46149 Allen Field Apt. 796 Lake Christopherfort NV 45941 client Matthews-Bautista 826 Mark Ford Suite 389 West Morganbury AR 27521 seller_tax_id 958-96-9985 client_tax_id 947-90-5224 iban GB64QRED49589065965467 item_1_desc YILONG CHF6.56'xCHF9.84' Handmade Silk Carpet Blue Bedroom Indoor Area Rug 0785 item_1_qty 3 item_1_net_price 4800 item_1_net_worth 14400 item_1_vat 10% item_1_gross_worth 15 840 item_2_desc YILONG 4'x6' Golden Handmade Silk Rugs Vintage Classic Oriental Carpet 086B item_2_qty 4 item_2_net_price 4 800 item_2_net_worth 19 200 item_2_vat 10% item_2_gross_worth 21 120 item_3_desc YILONG 4'x6' Golden Hand Knotted Silk Rugs Antistatic Family Room Carpet 085B item_3_qty 1 item_3_net_price 4800 item_3_net_worth 4 800 item_3_vat 10% item_3_gross_worth 5 280 item_4_desc Yilong 1'xCHF1.5' 400Lines Area Rug High Density Hand knotted Silk Carpet 221H item_4_qty 3 item_4_net_price 540 item_4_net_worth 1620 item_4_vat 10% item_4_gross_worth 1 782 item_5_desc Morocco Area Rug Round Carpet Bohemian Style Tassel Mat Door Room Decor Blanket item_5_qty 5 item_5_net_price CHF41.39 item_5_net_worth CHF206.95 item_5_vat 10% item_5_gross_worth CHF227.65 item_6_desc Fluffy Floor Mat Anti-Skid Shaggy Area Rugs Dining Living Room Carpet Home Decor item_6_qty 3 item_6_net_price CHF3.89 item_6_net_worth CHF11.67 item_6_vat 10% item_6_gross_worth CHF12.84 total_net_worth CHF40238.62 total_vat CHF4023.86 total_gross_worth CHF44262.48.
### Response: {'Parameters': ['item_3_qty', 'client_tax_id', 'total_net_worth', 'item_3_net_price', 'item_6_desc', 'item_5_vat'], 'Values': ['1', '947-90-5224', 'CHF40238.62', '4800', 'Fluffy Floor Mat Anti-Skid Shaggy Area Rugs Dining Living Room Carpet Home Decor', '10%']} | {'Parameters': ['item_3_qty', 'client_tax_id', 'total_net_worth', 'item_3_net_price', 'item_6_desc', 'item_5_vat'], 'Values': ['1', '947-90-5224', 'CHF40238.62', '4800', 'Fluffy Floor Mat Anti-Skid Shaggy Area Rugs Dining Living Room Carpet Home Decor', '10%']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_qty, client_tax_id, total_net_worth, item_3_net_price, item_6_desc, item_5_vat.
This is the Text: ice_no 93035437 invoice_date 07/23/2017 seller Barber LLC 46149 Allen Field Apt. 796 Lake Christopherfort NV 45941 client Matthews-Bautista 826 Mark Ford Suite 389 West Morganbury AR 27521 seller_tax_id 958-96-9985 client_tax_id 947-90-5224 iban GB64QRED49589065965467 item_1_desc YILONG CHF6.56'xCHF9.84' Handmade Silk Carpet Blue Bedroom Indoor Area Rug 0785 item_1_qty 3 item_1_net_price 4800 item_1_net_worth 14400 item_1_vat 10% item_1_gross_worth 15 840 item_2_desc YILONG 4'x6' Golden Handmade Silk Rugs Vintage Classic Oriental Carpet 086B item_2_qty 4 item_2_net_price 4 800 item_2_net_worth 19 200 item_2_vat 10% item_2_gross_worth 21 120 item_3_desc YILONG 4'x6' Golden Hand Knotted Silk Rugs Antistatic Family Room Carpet 085B item_3_qty 1 item_3_net_price 4800 item_3_net_worth 4 800 item_3_vat 10% item_3_gross_worth 5 280 item_4_desc Yilong 1'xCHF1.5' 400Lines Area Rug High Density Hand knotted Silk Carpet 221H item_4_qty 3 item_4_net_price 540 item_4_net_worth 1620 item_4_vat 10% item_4_gross_worth 1 782 item_5_desc Morocco Area Rug Round Carpet Bohemian Style Tassel Mat Door Room Decor Blanket item_5_qty 5 item_5_net_price CHF41.39 item_5_net_worth CHF206.95 item_5_vat 10% item_5_gross_worth CHF227.65 item_6_desc Fluffy Floor Mat Anti-Skid Shaggy Area Rugs Dining Living Room Carpet Home Decor item_6_qty 3 item_6_net_price CHF3.89 item_6_net_worth CHF11.67 item_6_vat 10% item_6_gross_worth CHF12.84 total_net_worth CHF40238.62 total_vat CHF4023.86 total_gross_worth CHF44262.48. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Sender, Recipient, Date, Subject, Status, Activity Update Date, New Vote Schedule Date, Involved Parties, Legislative Involvement Status, Meeting Dates & Attendees.
This is the Text: ---------------------- Forwarded by David W Delainey/HOU/ECT on 07/19/2000
11:48 AM ---------------------------
James D Steffes@EES
07/19/2000 08:48 AM
To: David W Delainey/HOU/ECT@ECT
cc:
Subject: Price Cap Status 7.18.00
Dave --
Update on activity related to California price caps. Key issue is that we
continue to believe a new vote will take place on Aug 1. We continue to try
and find additional "no" votes.
Thanks,
Jim
---------------------- Forwarded by James D Steffes/HOU/EES on 07/19/2000
08:47 AM ---------------------------
Jeff Dasovich on 07/18/2000 08:06:39 PM
To: James D Steffes/HOU/EES@EES, Paul Kaufman@EES, Mona L
Petrochko/SFO/EES@EES, Susan J Mara/SFO/EES@EES, Sandra McCubbin/SFO/EES@EES,
Joe Hartsoe/Corp/Enron@Enron, Dave Parquet@ENRON_DEVELOPMENT, Tim Belden@ECT,
Robert Badeer@ECT, Dennis Benevides/HOU/EES@EES, Roger Yang/SFO/EES@EES,
Richard Shapiro/HOU/EES@EES
cc:
Subject: Price Cap Status 7.18.00
Enron will take the initiative and help IEP jump-start the PR effort by the
end of the week. I spoke with Smutney this evening. He likes the idea of
Enron taking the lead with McNally/Temple. I've emailed him the one-pager we
worked up today.--Palmer, Steffes, Dasovich,Parquet
The urgency for a solution is growing and a vaccuum has formed, with many
trying to fill the void. The Cal. Manufacturers Ass. has called a meeting
with IEP and the utilities. Dave Parquet and Doug Condon will attend.
I spoke with the VP of Strategic Planning at the ISO today who said there is
a "98% chance" that price caps will be on the agenda at the August ISO Board
meeting.
Dave Parquet continues to check with SDG&E to determine when SDG&E plans to
make an announcement about what it intends to do with the offers it received
last week.
Dave Parquet is working with Andy Kellerman and J. Steffes to try and get the
investment community energized on this issue.
The issue is now apparently affecting California legislative races. Staffers
are drafting a bill that an "at risk" Democrat Senator from San Diego will
carry, with the hope of using the bill to get the bump necessary to win the
election. Mona will meet with the staffer on Thursday to find out what he
has in mind for the bill and to communicate our views.
Dasovich will meet with Commissioner Bilas Wednesday to see if the Republican
block of the California PUC is hanging tough.
That's it from our end.
Best,
Jeff.
### Response: {"Parameters": ["Sender", "Recipient", "Date", "Subject", "Status", "Activity Update Date", "New Vote Schedule Date", "Involved Parties", "Legislative Involvement Status", "Meeting Dates & Attendees"], "Values": ["James D Steffes@EES", "David W Delainey/HOU/ECT@ECT", "07/19/2000", "Price Cap Status 7.18.00", "Urgent", "07/19/2000", "Aug 1", "Enron, IEP, Cal. Manufacturers Ass., Utilities", "Under Effect", "Thursday: Mona with a San Diego Senate staffer, Wednesday: Commissioner Bilas with Dasovich"]} | {"Parameters": ["Sender", "Recipient", "Date", "Subject", "Status", "Activity Update Date", "New Vote Schedule Date", "Involved Parties", "Legislative Involvement Status", "Meeting Dates & Attendees"], "Values": ["James D Steffes@EES", "David W Delainey/HOU/ECT@ECT", "07/19/2000", "Price Cap Status 7.18.00", "Urgent", "07/19/2000", "Aug 1", "Enron, IEP, Cal. Manufacturers Ass., Utilities", "Under Effect", "Thursday: Mona with a San Diego Senate staffer, Wednesday: Commissioner Bilas with Dasovich"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Sender, Recipient, Date, Subject, Status, Activity Update Date, New Vote Schedule Date, Involved Parties, Legislative Involvement Status, Meeting Dates & Attendees.
This is the Text: ---------------------- Forwarded by David W Delainey/HOU/ECT on 07/19/2000
11:48 AM ---------------------------
James D Steffes@EES
07/19/2000 08:48 AM
To: David W Delainey/HOU/ECT@ECT
cc:
Subject: Price Cap Status 7.18.00
Dave --
Update on activity related to California price caps. Key issue is that we
continue to believe a new vote will take place on Aug 1. We continue to try
and find additional "no" votes.
Thanks,
Jim
---------------------- Forwarded by James D Steffes/HOU/EES on 07/19/2000
08:47 AM ---------------------------
Jeff Dasovich on 07/18/2000 08:06:39 PM
To: James D Steffes/HOU/EES@EES, Paul Kaufman@EES, Mona L
Petrochko/SFO/EES@EES, Susan J Mara/SFO/EES@EES, Sandra McCubbin/SFO/EES@EES,
Joe Hartsoe/Corp/Enron@Enron, Dave Parquet@ENRON_DEVELOPMENT, Tim Belden@ECT,
Robert Badeer@ECT, Dennis Benevides/HOU/EES@EES, Roger Yang/SFO/EES@EES,
Richard Shapiro/HOU/EES@EES
cc:
Subject: Price Cap Status 7.18.00
Enron will take the initiative and help IEP jump-start the PR effort by the
end of the week. I spoke with Smutney this evening. He likes the idea of
Enron taking the lead with McNally/Temple. I've emailed him the one-pager we
worked up today.--Palmer, Steffes, Dasovich,Parquet
The urgency for a solution is growing and a vaccuum has formed, with many
trying to fill the void. The Cal. Manufacturers Ass. has called a meeting
with IEP and the utilities. Dave Parquet and Doug Condon will attend.
I spoke with the VP of Strategic Planning at the ISO today who said there is
a "98% chance" that price caps will be on the agenda at the August ISO Board
meeting.
Dave Parquet continues to check with SDG&E to determine when SDG&E plans to
make an announcement about what it intends to do with the offers it received
last week.
Dave Parquet is working with Andy Kellerman and J. Steffes to try and get the
investment community energized on this issue.
The issue is now apparently affecting California legislative races. Staffers
are drafting a bill that an "at risk" Democrat Senator from San Diego will
carry, with the hope of using the bill to get the bump necessary to win the
election. Mona will meet with the staffer on Thursday to find out what he
has in mind for the bill and to communicate our views.
Dasovich will meet with Commissioner Bilas Wednesday to see if the Republican
block of the California PUC is hanging tough.
That's it from our end.
Best,
Jeff. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: sender, receivers, subject, bill_1, bill_2, bill_3, company_1, emergency.
This is the Text: Apologies. The competitive default provider bill is actually being sponsored
by our brave compatriots at The New Power Company.
Best,
Jeff
----- Forwarded by Jeff Dasovich/NA/Enron on 04/23/2001 03:39 PM -----
Jeff Dasovich
Sent by: Jeff Dasovich
04/23/2001 03:24 PM
To: Alan Comnes/PDX/ECT@ECT, Angela Schwarz/HOU/EES@EES, Beverly
Aden/HOU/EES@EES, Bill Votaw/HOU/EES@EES, Brenda Barreda/HOU/EES@EES, Carol
Moffett/HOU/EES@EES, Cathy Corbin/HOU/EES@EES, Chris H Foster/HOU/ECT@ECT,
Christina Liscano/HOU/EES@EES, Craig H Sutter/HOU/EES@EES, Dan
Leff/HOU/EES@EES, Debora Whitehead/HOU/EES@EES, Dennis Benevides/HOU/EES@EES,
Don Black/HOU/EES@EES, Dorothy Youngblood/HOU/ECT@ECT, Douglas
Huth/HOU/EES@EES, Edward Sacks/Corp/Enron@ENRON, Eric Melvin/HOU/EES@EES,
Erika Dupre/HOU/EES@EES, Evan Hughes/HOU/EES@EES, Fran Deltoro/HOU/EES@EES,
Gayle W Muench/HOU/EES@EES, Ginger Dernehl/NA/Enron@ENRON, Gordon
Savage/HOU/EES@EES, Harold G Buchanan/HOU/EES@EES, Harry
Kingerski/NA/Enron@ENRON, Iris Waser/HOU/EES@EES, James D
Steffes/NA/Enron@ENRON, James W Lewis/HOU/EES@EES, James Wright/Western
Region/The Bentley Company@Exchange, Jeff Messina/HOU/EES@EES, Jeremy
Blachman/HOU/EES@EES, Jess Hewitt/HOU/EES@EES, Joe Hartsoe/Corp/Enron@ENRON,
Karen Denne/Corp/Enron@ENRON, Kathy Bass/HOU/EES@EES, Kathy
Dodgen/HOU/EES@EES, Ken Gustafson/HOU/EES@EES, Kevin Hughes/HOU/EES@EES,
Leasa Lopez/HOU/EES@EES, Leticia Botello/HOU/EES@EES, Mark S
Muller/HOU/EES@EES, Marsha Suggs/HOU/EES@EES, Marty Sunde/HOU/EES@EES,
Meredith M Eggleston/HOU/EES@EES, Michael Etringer/HOU/ECT@ECT, Michael
Mann/HOU/EES@EES, Michelle D Cisneros/HOU/ECT@ECT, mpalmer@enron.com, Neil
Bresnan/HOU/EES@EES, Neil Hong/HOU/EES@EES, Paul Kaufman/PDX/ECT@ECT, Paula
Warren/HOU/EES@EES, Richard L Zdunkewicz/HOU/EES@EES, Richard
Leibert/HOU/EES@EES, Richard Shapiro/NA/Enron@ENRON, Rita
Hennessy/NA/Enron@ENRON, Roger Yang/SFO/EES@EES, Rosalinda
Tijerina/HOU/EES@EES, Sandra McCubbin/NA/Enron@ENRON, Sarah
Novosel/Corp/Enron@ENRON, Scott Gahn/HOU/EES@EES, Scott Stoness/HOU/EES@EES,
Sharon Dick/HOU/EES@EES, skean@enron.com, Tanya Leslie/HOU/EES@EES, Tasha
Lair/HOU/EES@EES, Ted Murphy/HOU/ECT@ECT, Terri Greenlee/NA/Enron@ENRON, Tim
Belden/HOU/ECT@ECT, Tony Spruiell/HOU/EES@EES, Vicki Sharp/HOU/EES@EES,
Vladimir Gorny/HOU/ECT@ECT, Wanda Curry/HOU/EES@EES, William S
Bradford/HOU/ECT@ECT, Kathryn Corbally/Corp/Enron@ENRON, Jubran
Whalan/HOU/EES@EES, triley@enron.com, Richard B Sanders/HOU/ECT@ECT, Robert C
Williams/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Greg Wolfe/HOU/ECT@ECT, James
Wright/Western Region/The Bentley Company@Exchange, Dirk vanUlden/Western
Region/The Bentley Company@Exchange, Steve Walker/SFO/EES@EES, Jennifer
Rudolph/HOU/EES@EES, Martin Wenzel/SFO/HOU/EES@EES, Douglas
Condon/SFO/EES@EES, wgang@enron.com, Scott Govenar <sgovenar@govadv.com>,
Hedy Govenar <hgovenar@govadv.com> @ ENRON, jklauber@llgm.com, Mike D
Smith/HOU/EES@EES, John Neslage/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Janel
Guerrero/Corp/Enron@Enron, Eric Letke/DUB/EES@EES, Richard B
Sanders/HOU/ECT@ECT, gfergus@brobeck.com, Michael Tribolet/ENRON@enronXgate,
Robert Frank/NA/Enron@Enron, Richard B Sanders/HOU/ECT@ECT,
gfergus@brobeck.com, Susan J Mara/NA/Enron@ENRON
cc:
Subject: Legislation: competitive default provider; long-term contracts;
core/noncore split in electricity
FYI. From our folks in Sacramento:
AB 1085 is AES' competitive default provider bill. It's not an emergency
bill, so it will be dealt with throughout the remainder of the spring and
summer.
AB 57 is a legislator's suggestions on how long-term contracts should be
"regulated." Also no an emergency bill.
AB18X is an emergency bill and it would create a core/noncore split in
electricity similar to the one that exists in California's gas market.
Best,
Jeff
----- Forwarded by Jeff Dasovich/NA/Enron on 04/23/2001 03:21 PM -----
Scott Govenar <sgovenar@govadv.com>
04/23/2001 02:24 PM
To: Hedy Govenar <hgovenar@govadv.com>, Mike Day <MDay@GMSSR.com>, Bev
Hansen <bhansen@lhom.com>, Jeff Dasovich <jdasovic@enron.com>, Susan J Mara
<smara@enron.com>, Joseph Alamo <JAlamo@enron.com>, Paul Kaufman
<paul.kaufman@enron.com>, Michael McDonald <Michael.McDonald@enron.com>,
Sandra McCubbin <Sandra.McCubbin@enron.com>, Rick Shapiro
<rshapiro@enron.com>, Jim Steffes <james.d.steffes@enron.com>, Alan Comnes
<acomnes@enron.com>, Steven Kean <Steven.J.Kean@enron.com>, Karen Denne
<kdenne@enron.com>, "Harry.Kingerski@enron.com" <Harry.Kingerski@enron.com>,
Mike D Smith <msmith1@enron.com>, Leslie Lawner <Leslie.Lawner@enron.com>,
Robert Frank <rfrank@enron.com>, Ken Smith <ken@kdscommunications.com>, Janel
Guerrero <Janel.Guerrero@enron.com>, Jennifer Thome
<Jennifer.Thome@enron.com>, Eric Letke <eletke@enron.com>
cc:
Subject: Legislation
Following up on our conference call, attached please find the following
bills:
AB 1085
http://info.sen.ca.gov/pub/bill/asm/ab_1051-1100/ab_1085_bill_20010404_amended
_asm.pdf
AB 57
http://info.sen.ca.gov/pub/bill/asm/ab_0051-0100/ab_57_bill_20010416_amended_a
sm.pdf
SBX 18
http://info.sen.ca.gov/pub/bill/sen/sb_0001-0050/sbx1_18_bill_20010125_introdu
ced.pdf.
### Response: {"Parameters": ["sender", "receivers", "subject", "bill_1", "bill_2", "bill_3", "company_1", "emergency"], "Values": ["Jeff Dasovich", "Alan Comnes/PDX/ECT@ECT, Angela Schwarz/HOU/EES@EES, Beverly Aden/HOU/EES@EES, Bill Votaw/HOU/EES@EES, Brenda Barreda/HOU/EES@EES, Carol Moffett/HOU/EES@EES, Cathy Corbin/HOU/EES@EES, Chris H Foster/HOU/ECT@ECT, Christina Liscano/HOU/EES@EES, Craig H Sutter/HOU/EES@EES, Dan Leff/HOU/EES@EES, Debora Whitehead/HOU/EES@EES, Dennis Benevides/HOU/EES@EES, Don Black/HOU/EES@EES, Dorothy Youngblood/HOU/ECT@ECT, Douglas Huth/HOU/EES@EES, Edward Sacks/Corp/Enron@ENRON, Eric Melvin/HOU/EES@EES, Erika Dupre/HOU/EES@EES, Evan Hughes/HOU/EES@EES, Fran Deltoro/HOU/EES@EES, Gayle W Muench/HOU/EES@EES, Ginger Dernehl/NA/Enron@ENRON, Gordon Savage/HOU/EES@EES, Harold G Buchanan/HOU/EES@EES, Harry Kingerski/NA/Enron@ENRON, Iris Waser/HOU/EES@EES, James D Steffes/NA/Enron@ENRON, James W Lewis/HOU/EES@EES, James Wright/Western Region/The Bentley Company@Exchange, Jeff Messina/HOU/EES@EES, Jeremy Blachman/HOU/EES@EES, Jess Hewitt/HOU/EES@EES, Joe Hartsoe/Corp/Enron@ENRON, Karen Denne/Corp/Enron@ENRON, Kathy Bass/HOU/EES@EES, Kathy Dodgen/HOU/EES@EES, Ken Gustafson/HOU/EES@EES, Kevin Hughes/HOU/EES@EES, Leasa Lopez/HOU/EES@EES, Leticia Botello/HOU/EES@EES, Mark S Muller/HOU/EES@EES, Marsha Suggs/HOU/EES@EES, Marty Sunde/HOU/EES@EES, Meredith M Eggleston/HOU/EES@EES, Michael Etringer/HOU/ECT@ECT, Michael Mann/HOU/EES@EES, Michelle D Cisneros/HOU/ECT@ECT, Neil Bresnan/HOU/EES@EES, Neil Hong/HOU/EES@EES, Paul Kaufman/PDX/ECT@ECT, Paula Warren/HOU/EES@EES, Richard L Zdunkewicz/HOU/EES@EES, Richard Leibert/HOU/EES@EES, Richard Shapiro/NA/Enron@ENRON, Rita Hennessy/NA/Enron@ENRON, Roger Yang/SFO/EES@EES", "Legislation: competitive default provider; long-term contracts; core/noncore split in electricity", "AB 1085", "AB 57", "AB18X", "The New Power Company", "False"]} | {"Parameters": ["sender", "receivers", "subject", "bill_1", "bill_2", "bill_3", "company_1", "emergency"], "Values": ["Jeff Dasovich", "Alan Comnes/PDX/ECT@ECT, Angela Schwarz/HOU/EES@EES, Beverly Aden/HOU/EES@EES, Bill Votaw/HOU/EES@EES, Brenda Barreda/HOU/EES@EES, Carol Moffett/HOU/EES@EES, Cathy Corbin/HOU/EES@EES, Chris H Foster/HOU/ECT@ECT, Christina Liscano/HOU/EES@EES, Craig H Sutter/HOU/EES@EES, Dan Leff/HOU/EES@EES, Debora Whitehead/HOU/EES@EES, Dennis Benevides/HOU/EES@EES, Don Black/HOU/EES@EES, Dorothy Youngblood/HOU/ECT@ECT, Douglas Huth/HOU/EES@EES, Edward Sacks/Corp/Enron@ENRON, Eric Melvin/HOU/EES@EES, Erika Dupre/HOU/EES@EES, Evan Hughes/HOU/EES@EES, Fran Deltoro/HOU/EES@EES, Gayle W Muench/HOU/EES@EES, Ginger Dernehl/NA/Enron@ENRON, Gordon Savage/HOU/EES@EES, Harold G Buchanan/HOU/EES@EES, Harry Kingerski/NA/Enron@ENRON, Iris Waser/HOU/EES@EES, James D Steffes/NA/Enron@ENRON, James W Lewis/HOU/EES@EES, James Wright/Western Region/The Bentley Company@Exchange, Jeff Messina/HOU/EES@EES, Jeremy Blachman/HOU/EES@EES, Jess Hewitt/HOU/EES@EES, Joe Hartsoe/Corp/Enron@ENRON, Karen Denne/Corp/Enron@ENRON, Kathy Bass/HOU/EES@EES, Kathy Dodgen/HOU/EES@EES, Ken Gustafson/HOU/EES@EES, Kevin Hughes/HOU/EES@EES, Leasa Lopez/HOU/EES@EES, Leticia Botello/HOU/EES@EES, Mark S Muller/HOU/EES@EES, Marsha Suggs/HOU/EES@EES, Marty Sunde/HOU/EES@EES, Meredith M Eggleston/HOU/EES@EES, Michael Etringer/HOU/ECT@ECT, Michael Mann/HOU/EES@EES, Michelle D Cisneros/HOU/ECT@ECT, Neil Bresnan/HOU/EES@EES, Neil Hong/HOU/EES@EES, Paul Kaufman/PDX/ECT@ECT, Paula Warren/HOU/EES@EES, Richard L Zdunkewicz/HOU/EES@EES, Richard Leibert/HOU/EES@EES, Richard Shapiro/NA/Enron@ENRON, Rita Hennessy/NA/Enron@ENRON, Roger Yang/SFO/EES@EES", "Legislation: competitive default provider; long-term contracts; core/noncore split in electricity", "AB 1085", "AB 57", "AB18X", "The New Power Company", "False"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: sender, receivers, subject, bill_1, bill_2, bill_3, company_1, emergency.
This is the Text: Apologies. The competitive default provider bill is actually being sponsored
by our brave compatriots at The New Power Company.
Best,
Jeff
----- Forwarded by Jeff Dasovich/NA/Enron on 04/23/2001 03:39 PM -----
Jeff Dasovich
Sent by: Jeff Dasovich
04/23/2001 03:24 PM
To: Alan Comnes/PDX/ECT@ECT, Angela Schwarz/HOU/EES@EES, Beverly
Aden/HOU/EES@EES, Bill Votaw/HOU/EES@EES, Brenda Barreda/HOU/EES@EES, Carol
Moffett/HOU/EES@EES, Cathy Corbin/HOU/EES@EES, Chris H Foster/HOU/ECT@ECT,
Christina Liscano/HOU/EES@EES, Craig H Sutter/HOU/EES@EES, Dan
Leff/HOU/EES@EES, Debora Whitehead/HOU/EES@EES, Dennis Benevides/HOU/EES@EES,
Don Black/HOU/EES@EES, Dorothy Youngblood/HOU/ECT@ECT, Douglas
Huth/HOU/EES@EES, Edward Sacks/Corp/Enron@ENRON, Eric Melvin/HOU/EES@EES,
Erika Dupre/HOU/EES@EES, Evan Hughes/HOU/EES@EES, Fran Deltoro/HOU/EES@EES,
Gayle W Muench/HOU/EES@EES, Ginger Dernehl/NA/Enron@ENRON, Gordon
Savage/HOU/EES@EES, Harold G Buchanan/HOU/EES@EES, Harry
Kingerski/NA/Enron@ENRON, Iris Waser/HOU/EES@EES, James D
Steffes/NA/Enron@ENRON, James W Lewis/HOU/EES@EES, James Wright/Western
Region/The Bentley Company@Exchange, Jeff Messina/HOU/EES@EES, Jeremy
Blachman/HOU/EES@EES, Jess Hewitt/HOU/EES@EES, Joe Hartsoe/Corp/Enron@ENRON,
Karen Denne/Corp/Enron@ENRON, Kathy Bass/HOU/EES@EES, Kathy
Dodgen/HOU/EES@EES, Ken Gustafson/HOU/EES@EES, Kevin Hughes/HOU/EES@EES,
Leasa Lopez/HOU/EES@EES, Leticia Botello/HOU/EES@EES, Mark S
Muller/HOU/EES@EES, Marsha Suggs/HOU/EES@EES, Marty Sunde/HOU/EES@EES,
Meredith M Eggleston/HOU/EES@EES, Michael Etringer/HOU/ECT@ECT, Michael
Mann/HOU/EES@EES, Michelle D Cisneros/HOU/ECT@ECT, mpalmer@enron.com, Neil
Bresnan/HOU/EES@EES, Neil Hong/HOU/EES@EES, Paul Kaufman/PDX/ECT@ECT, Paula
Warren/HOU/EES@EES, Richard L Zdunkewicz/HOU/EES@EES, Richard
Leibert/HOU/EES@EES, Richard Shapiro/NA/Enron@ENRON, Rita
Hennessy/NA/Enron@ENRON, Roger Yang/SFO/EES@EES, Rosalinda
Tijerina/HOU/EES@EES, Sandra McCubbin/NA/Enron@ENRON, Sarah
Novosel/Corp/Enron@ENRON, Scott Gahn/HOU/EES@EES, Scott Stoness/HOU/EES@EES,
Sharon Dick/HOU/EES@EES, skean@enron.com, Tanya Leslie/HOU/EES@EES, Tasha
Lair/HOU/EES@EES, Ted Murphy/HOU/ECT@ECT, Terri Greenlee/NA/Enron@ENRON, Tim
Belden/HOU/ECT@ECT, Tony Spruiell/HOU/EES@EES, Vicki Sharp/HOU/EES@EES,
Vladimir Gorny/HOU/ECT@ECT, Wanda Curry/HOU/EES@EES, William S
Bradford/HOU/ECT@ECT, Kathryn Corbally/Corp/Enron@ENRON, Jubran
Whalan/HOU/EES@EES, triley@enron.com, Richard B Sanders/HOU/ECT@ECT, Robert C
Williams/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Greg Wolfe/HOU/ECT@ECT, James
Wright/Western Region/The Bentley Company@Exchange, Dirk vanUlden/Western
Region/The Bentley Company@Exchange, Steve Walker/SFO/EES@EES, Jennifer
Rudolph/HOU/EES@EES, Martin Wenzel/SFO/HOU/EES@EES, Douglas
Condon/SFO/EES@EES, wgang@enron.com, Scott Govenar <sgovenar@govadv.com>,
Hedy Govenar <hgovenar@govadv.com> @ ENRON, jklauber@llgm.com, Mike D
Smith/HOU/EES@EES, John Neslage/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Janel
Guerrero/Corp/Enron@Enron, Eric Letke/DUB/EES@EES, Richard B
Sanders/HOU/ECT@ECT, gfergus@brobeck.com, Michael Tribolet/ENRON@enronXgate,
Robert Frank/NA/Enron@Enron, Richard B Sanders/HOU/ECT@ECT,
gfergus@brobeck.com, Susan J Mara/NA/Enron@ENRON
cc:
Subject: Legislation: competitive default provider; long-term contracts;
core/noncore split in electricity
FYI. From our folks in Sacramento:
AB 1085 is AES' competitive default provider bill. It's not an emergency
bill, so it will be dealt with throughout the remainder of the spring and
summer.
AB 57 is a legislator's suggestions on how long-term contracts should be
"regulated." Also no an emergency bill.
AB18X is an emergency bill and it would create a core/noncore split in
electricity similar to the one that exists in California's gas market.
Best,
Jeff
----- Forwarded by Jeff Dasovich/NA/Enron on 04/23/2001 03:21 PM -----
Scott Govenar <sgovenar@govadv.com>
04/23/2001 02:24 PM
To: Hedy Govenar <hgovenar@govadv.com>, Mike Day <MDay@GMSSR.com>, Bev
Hansen <bhansen@lhom.com>, Jeff Dasovich <jdasovic@enron.com>, Susan J Mara
<smara@enron.com>, Joseph Alamo <JAlamo@enron.com>, Paul Kaufman
<paul.kaufman@enron.com>, Michael McDonald <Michael.McDonald@enron.com>,
Sandra McCubbin <Sandra.McCubbin@enron.com>, Rick Shapiro
<rshapiro@enron.com>, Jim Steffes <james.d.steffes@enron.com>, Alan Comnes
<acomnes@enron.com>, Steven Kean <Steven.J.Kean@enron.com>, Karen Denne
<kdenne@enron.com>, "Harry.Kingerski@enron.com" <Harry.Kingerski@enron.com>,
Mike D Smith <msmith1@enron.com>, Leslie Lawner <Leslie.Lawner@enron.com>,
Robert Frank <rfrank@enron.com>, Ken Smith <ken@kdscommunications.com>, Janel
Guerrero <Janel.Guerrero@enron.com>, Jennifer Thome
<Jennifer.Thome@enron.com>, Eric Letke <eletke@enron.com>
cc:
Subject: Legislation
Following up on our conference call, attached please find the following
bills:
AB 1085
http://info.sen.ca.gov/pub/bill/asm/ab_1051-1100/ab_1085_bill_20010404_amended
_asm.pdf
AB 57
http://info.sen.ca.gov/pub/bill/asm/ab_0051-0100/ab_57_bill_20010416_amended_a
sm.pdf
SBX 18
http://info.sen.ca.gov/pub/bill/sen/sb_0001-0050/sbx1_18_bill_20010125_introdu
ced.pdf. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: invoice_date, item_3_net_worth, item_5_desc, item_5_qty, item_1_qty, client, item_2_vat, total_gross_worth, ice_no, item_4_vat, seller.
This is the Text: ice_no 96430839 invoice_date 01/13/2019 seller Bennett Chavez and Vazquez Unit 8361 Box 7078 DPO AE 69202 client Alexander-Petersen 647 Joyce Ville Waltonfort IA 57670 seller_tax_id 971-80-5191 client_tax_id 934-91-7455 iban GB90RYME18980824175499 item_1_desc Dell Optiplex 990 MT Computer PC Quad Core i7 €3.4GHz 16GB 2TB HD Windows 10 Pro item_1_qty 4 item_1_net_price €269.95 item_1_net_worth €1079.80 item_1_vat 10% item_1_gross_worth 1 €187.78 item_2_desc Open Box Dell XPS 8930 Desktop Computer Intel Core i7 8GB RAM 1TB HDD Black - 8 item_2_qty 1 item_2_net_price €718.11 item_2_net_worth €718.11 item_2_vat 10% item_2_gross_worth €789.92 item_3_desc Dell 9020 i5-4570 I 16GB I 2TB I SSD Windows 10 Pro Desktop Computer PC WiFi DVD item_3_qty 5 item_3_net_price €349.95 item_3_net_worth €1749.75 item_3_vat 10% item_3_gross_worth €1924.73 item_4_desc Dell Optiplex 7040 SFF PC ComputerIntel Core i5-6500 €3.2GHz 4GB RAM 500GB HDD item_4_qty 4 item_4_net_price €99.99 item_4_net_worth €399.96 item_4_vat 10% item_4_gross_worth €439.96 item_5_desc HP Desktop Computer PC 0 Core i5 16GB 2TB HD 256GB SSD 22 LCD D Windows 10 item_5_qty 4 item_5_net_price €139.95 item_5_net_worth €559.80 item_5_vat 10% item_5_gross_worth €615.78 total_net_worth €4507.42 total_vat €450.74 total_gross_worth €4958.16.
### Response: {'Parameters': ['invoice_date', 'item_3_net_worth', 'item_5_desc', 'item_5_qty', 'item_1_qty', 'client', 'item_2_vat', 'total_gross_worth', 'ice_no', 'item_4_vat', 'seller'], 'Values': ['01/13/2019', '€1749.75', 'HP Desktop Computer PC 0 Core i5 16GB 2TB HD 256GB SSD 22 LCD D Windows 10', '4', '4', 'Alexander-Petersen 647 Joyce Ville Waltonfort', '10%', '€4958.16', '96430839', '10%', 'Bennett']} | {'Parameters': ['invoice_date', 'item_3_net_worth', 'item_5_desc', 'item_5_qty', 'item_1_qty', 'client', 'item_2_vat', 'total_gross_worth', 'ice_no', 'item_4_vat', 'seller'], 'Values': ['01/13/2019', '€1749.75', 'HP Desktop Computer PC 0 Core i5 16GB 2TB HD 256GB SSD 22 LCD D Windows 10', '4', '4', 'Alexander-Petersen 647 Joyce Ville Waltonfort', '10%', '€4958.16', '96430839', '10%', 'Bennett']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: invoice_date, item_3_net_worth, item_5_desc, item_5_qty, item_1_qty, client, item_2_vat, total_gross_worth, ice_no, item_4_vat, seller.
This is the Text: ice_no 96430839 invoice_date 01/13/2019 seller Bennett Chavez and Vazquez Unit 8361 Box 7078 DPO AE 69202 client Alexander-Petersen 647 Joyce Ville Waltonfort IA 57670 seller_tax_id 971-80-5191 client_tax_id 934-91-7455 iban GB90RYME18980824175499 item_1_desc Dell Optiplex 990 MT Computer PC Quad Core i7 €3.4GHz 16GB 2TB HD Windows 10 Pro item_1_qty 4 item_1_net_price €269.95 item_1_net_worth €1079.80 item_1_vat 10% item_1_gross_worth 1 €187.78 item_2_desc Open Box Dell XPS 8930 Desktop Computer Intel Core i7 8GB RAM 1TB HDD Black - 8 item_2_qty 1 item_2_net_price €718.11 item_2_net_worth €718.11 item_2_vat 10% item_2_gross_worth €789.92 item_3_desc Dell 9020 i5-4570 I 16GB I 2TB I SSD Windows 10 Pro Desktop Computer PC WiFi DVD item_3_qty 5 item_3_net_price €349.95 item_3_net_worth €1749.75 item_3_vat 10% item_3_gross_worth €1924.73 item_4_desc Dell Optiplex 7040 SFF PC ComputerIntel Core i5-6500 €3.2GHz 4GB RAM 500GB HDD item_4_qty 4 item_4_net_price €99.99 item_4_net_worth €399.96 item_4_vat 10% item_4_gross_worth €439.96 item_5_desc HP Desktop Computer PC 0 Core i5 16GB 2TB HD 256GB SSD 22 LCD D Windows 10 item_5_qty 4 item_5_net_price €139.95 item_5_net_worth €559.80 item_5_vat 10% item_5_gross_worth €615.78 total_net_worth €4507.42 total_vat €450.74 total_gross_worth €4958.16. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_net_worth, total_vat, item_1_vat, item_1_gross_worth, iban, item_1_qty.
This is the Text: ice_no 99788357 invoice_date 10/14/2018 seller Lee-Everett 2239 Austin Flats North Antonio KS 84993 client Valdez Young and Ingram 90080 Benjamin Locks New Loretta NH 77733 seller_tax_id 978-77-8519 client_tax_id 954-84-8461 iban GB98RBEM11152229914136 item_1_desc Boho Women Multi-layer Long Chain Pendant Crystal Choker Necklace Jewelry Gift item_1_qty 4 item_1_net_price CHF0.99 item_1_net_worth CHF3.96 item_1_vat 10% item_1_gross_worth CHF4.36 total_net_worth CHF3.96 total_vat CHF0.40 total_gross_worth CHF4.36.
### Response: {'Parameters': ['total_net_worth', 'total_vat', 'item_1_vat', 'item_1_gross_worth', 'iban', 'item_1_qty'], 'Values': ['CHF3.96', 'CHF0.40', '10%', 'CHF4.36', 'GB98RBEM11152229914136', '4']} | {'Parameters': ['total_net_worth', 'total_vat', 'item_1_vat', 'item_1_gross_worth', 'iban', 'item_1_qty'], 'Values': ['CHF3.96', 'CHF0.40', '10%', 'CHF4.36', 'GB98RBEM11152229914136', '4']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_net_worth, total_vat, item_1_vat, item_1_gross_worth, iban, item_1_qty.
This is the Text: ice_no 99788357 invoice_date 10/14/2018 seller Lee-Everett 2239 Austin Flats North Antonio KS 84993 client Valdez Young and Ingram 90080 Benjamin Locks New Loretta NH 77733 seller_tax_id 978-77-8519 client_tax_id 954-84-8461 iban GB98RBEM11152229914136 item_1_desc Boho Women Multi-layer Long Chain Pendant Crystal Choker Necklace Jewelry Gift item_1_qty 4 item_1_net_price CHF0.99 item_1_net_worth CHF3.96 item_1_vat 10% item_1_gross_worth CHF4.36 total_net_worth CHF3.96 total_vat CHF0.40 total_gross_worth CHF4.36. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Kelley and Watts 441 David Mews Port Sharifurt, total_gross_worth, item_1_desc, total_net_worth, invoice_date, ID 47380, iban, item_1_qty, client.
This is the Text: ice_no 61942465 invoice_date 08/27/2012 seller Jones Ltd USNV Rush FPO AP 95885 client Williams Kelley and Watts 441 David Mews Port Sharifurt ID 47380 seller_tax_id 936-72-2389 client_tax_id 963-78-9800 iban GB60ZVVK77498620703333 item_1_desc DESIGNER MICHAEL KORS DRESS SIZE S item_1_qty 2 item_1_net_price 20 item_1_net_worth 40 item_1_vat 10% item_1_gross_worth 44 total_net_worth 40 total_vat 4 total_gross_worth 44.
### Response: {'Parameters': ['total_gross_worth', 'item_1_desc', 'total_net_worth', 'invoice_date', 'iban', 'item_1_qty', 'client'], 'Values': ['44', 'DESIGNER MICHAEL KORS DRESS SIZE S', '40', '08/27/2012', 'GB60ZVVK77498620703333', '2', 'Williams']} | {'Parameters': ['total_gross_worth', 'item_1_desc', 'total_net_worth', 'invoice_date', 'iban', 'item_1_qty', 'client'], 'Values': ['44', 'DESIGNER MICHAEL KORS DRESS SIZE S', '40', '08/27/2012', 'GB60ZVVK77498620703333', '2', 'Williams']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Kelley and Watts 441 David Mews Port Sharifurt, total_gross_worth, item_1_desc, total_net_worth, invoice_date, ID 47380, iban, item_1_qty, client.
This is the Text: ice_no 61942465 invoice_date 08/27/2012 seller Jones Ltd USNV Rush FPO AP 95885 client Williams Kelley and Watts 441 David Mews Port Sharifurt ID 47380 seller_tax_id 936-72-2389 client_tax_id 963-78-9800 iban GB60ZVVK77498620703333 item_1_desc DESIGNER MICHAEL KORS DRESS SIZE S item_1_qty 2 item_1_net_price 20 item_1_net_worth 40 item_1_vat 10% item_1_gross_worth 44 total_net_worth 40 total_vat 4 total_gross_worth 44. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_gross_worth, item_4_gross_worth, item_3_net_worth, invoice_date, client_tax_id, item_2_qty.
This is the Text: ice_no 19136863 invoice_date 11/15/2013 seller Lewis Group 6756 Morgan Lakes Port Derek AK 56886 client Avila Garcia and Murray USNV Miller FPO AE 32133 seller_tax_id 952-77-9653 client_tax_id 905-92-7797 iban GB61XOXO25249384522530 item_1_desc Double Dorje Carpet Tibetan Rug Handwoven by Artisans in item_1_qty 1 item_1_net_price 297 item_1_net_worth 297 item_1_vat 10% item_1_gross_worth $326.70 item_2_desc Nordic Braided Tassels Sofa Rugs Area Rug Soft Mat Palm Leaves Room Carpet item_2_qty 4 item_2_net_price $186.54 item_2_net_worth $746.16 item_2_vat 10% item_2_gross_worth $820.78 item_3_desc 4'x6' Wool Floral Handmade Rugs Carpet Moroccan Pastel Color Living Room Navajo item_3_qty 4 item_3_net_price 299 item_3_net_worth 1196 item_3_vat 10% item_3_gross_worth $1315.60 item_4_desc Valentine's Day Roses Area Rugs Floor Mat Non-slip Romantic Bedroom Carpet Decor item_4_qty 1 item_4_net_price $11.92 item_4_net_worth $11.92 item_4_vat 10% item_4_gross_worth $13.11 item_5_desc 2x Soft Faux Fur Chair Cover Small Area Rugs Mat for Bedroom Floor Carpet 30cm item_5_qty 3 item_5_net_price $13.59 item_5_net_worth $40.77 item_5_vat 10% item_5_gross_worth $44.85 total_net_worth $2291.85 total_vat $229.19 total_gross_worth $2521.04.
### Response: {'Parameters': ['item_2_gross_worth', 'item_4_gross_worth', 'item_3_net_worth', 'invoice_date', 'client_tax_id', 'item_2_qty'], 'Values': ['$820.78', '$13.11', '1196', '11/15/2013', '905-92-7797', '4']} | {'Parameters': ['item_2_gross_worth', 'item_4_gross_worth', 'item_3_net_worth', 'invoice_date', 'client_tax_id', 'item_2_qty'], 'Values': ['$820.78', '$13.11', '1196', '11/15/2013', '905-92-7797', '4']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_gross_worth, item_4_gross_worth, item_3_net_worth, invoice_date, client_tax_id, item_2_qty.
This is the Text: ice_no 19136863 invoice_date 11/15/2013 seller Lewis Group 6756 Morgan Lakes Port Derek AK 56886 client Avila Garcia and Murray USNV Miller FPO AE 32133 seller_tax_id 952-77-9653 client_tax_id 905-92-7797 iban GB61XOXO25249384522530 item_1_desc Double Dorje Carpet Tibetan Rug Handwoven by Artisans in item_1_qty 1 item_1_net_price 297 item_1_net_worth 297 item_1_vat 10% item_1_gross_worth $326.70 item_2_desc Nordic Braided Tassels Sofa Rugs Area Rug Soft Mat Palm Leaves Room Carpet item_2_qty 4 item_2_net_price $186.54 item_2_net_worth $746.16 item_2_vat 10% item_2_gross_worth $820.78 item_3_desc 4'x6' Wool Floral Handmade Rugs Carpet Moroccan Pastel Color Living Room Navajo item_3_qty 4 item_3_net_price 299 item_3_net_worth 1196 item_3_vat 10% item_3_gross_worth $1315.60 item_4_desc Valentine's Day Roses Area Rugs Floor Mat Non-slip Romantic Bedroom Carpet Decor item_4_qty 1 item_4_net_price $11.92 item_4_net_worth $11.92 item_4_vat 10% item_4_gross_worth $13.11 item_5_desc 2x Soft Faux Fur Chair Cover Small Area Rugs Mat for Bedroom Floor Carpet 30cm item_5_qty 3 item_5_net_price $13.59 item_5_net_worth $40.77 item_5_vat 10% item_5_gross_worth $44.85 total_net_worth $2291.85 total_vat $229.19 total_gross_worth $2521.04. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Proposed Transaction, Confidential Information, third-parties.
This is the Text: Premise: MUTUAL NON-DISCLOSURE AGREEMENT This Mutual Non-Disclosure Agreement (this “Agreement”) is entered into as of this ___ day of _____, 2015 (“Effective Date”), by and between Snap Surveys, NH Inc. 210 Commerce Way, Suite 200 Portsmouth, New Hampshire 03801 and _________________________with offices located at __________________________ (each a “Party”, and collectively the “Parties”). The Parties wish to explore a business opportunity of mutual interest (the “Proposed Transaction”) which includes the exchange of certain financial information and confidential customer information. In connection with this Proposed Transaction and as a condition to discussions between the Parties relating to the Proposed Transaction, each Party recognizes the need for the other Party to disclose certain information and materials (the “Confidential Information”) which are to be used only for the purpose of such discussions. A Party disclosing Confidential Information to the other Party shall be identified as the "Disclosing Party" in this Agreement, and a Party receiving Proprietary Information shall be identified as the "Receiving Party" in this Agreement; and In consideration of the disclosure of such information and materials by the Parties, each Party agrees as follows: “Confidential Information” means technical and non-technical information, data, software,records, customer information, financial information, practices, processes, methods, techniques, trade secrets, products, and/or research and any other item that (a) is of a confidential nature, (b)would reasonably be considered as confidential, (c) is clearly and conspicuously marked as confidential or (d) is identified orally by the disclosing Party as confidential. Confidential Information shall be deemed to include all notes, analyses, loan documents, compilations and other material prepared by a recipient of Confidential Information containing or based in whole or in part on any Confidential Information. Confidential Information does not include information or materials that (i) are or became generally
Hypothesis: Receiving Party may share some Confidential Information with some third-parties (including consultants, agents and professional advisors)..
### Response: {"Parameters": ["Proposed Transaction", "Confidential Information", "third-parties"], "Values": ["exchange of certain financial information and confidential customer information", "technical and non-technical information, data, software,records, customer information, financial information, practices, processes, methods, techniques, trade secrets, products, and/or research and any other item that (a) is of a confidential nature, (b)would reasonably be considered as confidential, (c) is clearly and conspicuously marked as confidential or (d) is identified orally by the disclosing Party as confidential", "consultants, agents and professional advisors"]} | {"Parameters": ["Proposed Transaction", "Confidential Information", "third-parties"], "Values": ["exchange of certain financial information and confidential customer information", "technical and non-technical information, data, software,records, customer information, financial information, practices, processes, methods, techniques, trade secrets, products, and/or research and any other item that (a) is of a confidential nature, (b)would reasonably be considered as confidential, (c) is clearly and conspicuously marked as confidential or (d) is identified orally by the disclosing Party as confidential", "consultants, agents and professional advisors"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Proposed Transaction, Confidential Information, third-parties.
This is the Text: Premise: MUTUAL NON-DISCLOSURE AGREEMENT This Mutual Non-Disclosure Agreement (this “Agreement”) is entered into as of this ___ day of _____, 2015 (“Effective Date”), by and between Snap Surveys, NH Inc. 210 Commerce Way, Suite 200 Portsmouth, New Hampshire 03801 and _________________________with offices located at __________________________ (each a “Party”, and collectively the “Parties”). The Parties wish to explore a business opportunity of mutual interest (the “Proposed Transaction”) which includes the exchange of certain financial information and confidential customer information. In connection with this Proposed Transaction and as a condition to discussions between the Parties relating to the Proposed Transaction, each Party recognizes the need for the other Party to disclose certain information and materials (the “Confidential Information”) which are to be used only for the purpose of such discussions. A Party disclosing Confidential Information to the other Party shall be identified as the "Disclosing Party" in this Agreement, and a Party receiving Proprietary Information shall be identified as the "Receiving Party" in this Agreement; and In consideration of the disclosure of such information and materials by the Parties, each Party agrees as follows: “Confidential Information” means technical and non-technical information, data, software,records, customer information, financial information, practices, processes, methods, techniques, trade secrets, products, and/or research and any other item that (a) is of a confidential nature, (b)would reasonably be considered as confidential, (c) is clearly and conspicuously marked as confidential or (d) is identified orally by the disclosing Party as confidential. Confidential Information shall be deemed to include all notes, analyses, loan documents, compilations and other material prepared by a recipient of Confidential Information containing or based in whole or in part on any Confidential Information. Confidential Information does not include information or materials that (i) are or became generally
Hypothesis: Receiving Party may share some Confidential Information with some third-parties (including consultants, agents and professional advisors).. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Agreement Date, Disclosing Party, Receiving Party, Confidential Information, Associates, Use of Confidential Information, Third Party Exclusion.
This is the Text: Premise: Exhibit (e)(3) MUTUAL NONDISCLOSURE AGREEMENT This MUTUAL NONDISCLOSURE AGREEMENT (this “Agreement”) is made as of November 17, 2016, by and between Nimble Storage, Inc. a corporation organized under the laws of Delaware (the “Company”), and Hewlett Packard Enterprise Company, a Delaware corporation (“HPE”). HPE is evaluating forms of a potential transaction with respect to the Company (a “Transaction”), in connection with which each may disclose certain information, including Confidential 1nformation (as defined below), to the other. As a condition to such information being furnished to each party, its affiliates, its subsidiaries and other individuals and entities controlled, directly or indirectly, by such party (“Affiliates”), and the respective directors, employees, consultants, accountants, attorneys and advisors of such party and its Affiliates with which such party has entered into confidentiality agreements with material terms that are substantially similar to those in this Agreement (collectively with such Affiliates, “Associates”), each party agrees such information shall be provided to Associates for the limited purpose of evaluating, negotiating or consummating the Transaction, to treat the other party’s Confidential Information in accordance with the provisions of this Agreement and to take or abstain from taking certain other actions, as described in this Agreement. The foregoing definition of Associates who may be furnished confidential information hereby specifically excludes third parties who provide stockholder representation services. A party disclosing Confidential Information hereunder is referred to herein as “the disclosing party” and a party receiving the Confidential Information of a disclosing party hereunder is referred to herein as “the receiving party.” 1. Definition of Confidential Information; Use and Disclosure. “Confidential Information” means any information, technical data or know-how, including, but not limited to, that which relates to research, product or service plans, business practices, agreement terms, products, services, employees, suppliers, customers, technology or other strategic
Hypothesis: Receiving Party shall not use any Confidential Information for any purpose other than the purposes stated in Agreement..
### Response: {"Parameters": ["Premise", "Agreement Date", "Disclosing Party", "Receiving Party", "Confidential Information", "Associates", "Use of Confidential Information", "Third Party Exclusion"], "Values": ["Exhibit (e)(3) MUTUAL NONDISCLOSURE AGREEMENT", "November 17, 2016", "Nimble Storage, Inc.", "Hewlett Packard Enterprise Company", "Any information, technical data or know-how related to research, product or service plans, business practices, agreement terms, products, services, employees, suppliers, customers, technology or other strategic information", "Affiliates with whom each party has entered into confidentiality agreements", "Confidential Information shall only be used for evaluating, negotiating or consummating the Transaction", "Third parties who provide stockholder representation services are specifically excluded from Associates"]} | {"Parameters": ["Premise", "Agreement Date", "Disclosing Party", "Receiving Party", "Confidential Information", "Associates", "Use of Confidential Information", "Third Party Exclusion"], "Values": ["Exhibit (e)(3) MUTUAL NONDISCLOSURE AGREEMENT", "November 17, 2016", "Nimble Storage, Inc.", "Hewlett Packard Enterprise Company", "Any information, technical data or know-how related to research, product or service plans, business practices, agreement terms, products, services, employees, suppliers, customers, technology or other strategic information", "Affiliates with whom each party has entered into confidentiality agreements", "Confidential Information shall only be used for evaluating, negotiating or consummating the Transaction", "Third parties who provide stockholder representation services are specifically excluded from Associates"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Agreement Date, Disclosing Party, Receiving Party, Confidential Information, Associates, Use of Confidential Information, Third Party Exclusion.
This is the Text: Premise: Exhibit (e)(3) MUTUAL NONDISCLOSURE AGREEMENT This MUTUAL NONDISCLOSURE AGREEMENT (this “Agreement”) is made as of November 17, 2016, by and between Nimble Storage, Inc. a corporation organized under the laws of Delaware (the “Company”), and Hewlett Packard Enterprise Company, a Delaware corporation (“HPE”). HPE is evaluating forms of a potential transaction with respect to the Company (a “Transaction”), in connection with which each may disclose certain information, including Confidential 1nformation (as defined below), to the other. As a condition to such information being furnished to each party, its affiliates, its subsidiaries and other individuals and entities controlled, directly or indirectly, by such party (“Affiliates”), and the respective directors, employees, consultants, accountants, attorneys and advisors of such party and its Affiliates with which such party has entered into confidentiality agreements with material terms that are substantially similar to those in this Agreement (collectively with such Affiliates, “Associates”), each party agrees such information shall be provided to Associates for the limited purpose of evaluating, negotiating or consummating the Transaction, to treat the other party’s Confidential Information in accordance with the provisions of this Agreement and to take or abstain from taking certain other actions, as described in this Agreement. The foregoing definition of Associates who may be furnished confidential information hereby specifically excludes third parties who provide stockholder representation services. A party disclosing Confidential Information hereunder is referred to herein as “the disclosing party” and a party receiving the Confidential Information of a disclosing party hereunder is referred to herein as “the receiving party.” 1. Definition of Confidential Information; Use and Disclosure. “Confidential Information” means any information, technical data or know-how, including, but not limited to, that which relates to research, product or service plans, business practices, agreement terms, products, services, employees, suppliers, customers, technology or other strategic
Hypothesis: Receiving Party shall not use any Confidential Information for any purpose other than the purposes stated in Agreement.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, Company involved, Address, Person addressed, Purpose of letter, Disclosure of information, Definition of parties, Confidentiality agreement, Definition of Representatives, Permitted use of information.
This is the Text: Premise: Non-Disclosure Agreement July 1, 2005 Omnicare, Inc. Nectarine Acquisition Corp. 100 East RiverCenter Boulevard Covington, Kentucky 41011 Attn: Joel F. Gemunder, President and Chief Executive Officer Dear Mr. Gemunder: In connection with your consideration of a possible business combination transaction involving all or substantially all (a “Possible Transaction”) of the outstanding common stock of NeighborCare, Inc. (collectively with its businesses, subsidiaries and divisions, the “Company”), the Company is prepared to make available to you certain information concerning the business, financial condition, operations, assets and liabilities of the Company. In connection with the Possible Transaction, which may involve stock or other securities issued by you, you are prepared to make available to the Company certain information concerning you and your business, financial condition, operations, assets and liabilities. The party disclosing information shall be referred to herein as the “Disclosing Party” and the party receiving information shall be referred to as the “Receiving Party.” As a condition to each Receiving Party and their Representatives (as defined below) being furnished with such information, the Receiving Party agrees to treat any information concerning the Disclosing Party (whether prepared by the Disclosing Party, its Representatives or otherwise and irrespective of the form of communication) which is furnished to the Receiving Party or its Representatives now or in the future by or on behalf of the Disclosing Party (collectively, the “Evaluation Material”) and Discussion Information (as defined below) confidential in accordance with the provisions of this letter agreement, and to take or refrain from taking certain other actions as hereinafter set forth. As used in this letter agreement, a party’s “Representatives” shall include the directors, officers, employees, agents, affiliates (as such term is defined under the Securities Exchange Act of 1934, as amended (the “1934 Act”)), partners, advisors or representatives of such party and those of its subsidiaries, affiliates and/or divisions (including, without limitation, attorneys, accountants, consultants,
Hypothesis: Receiving Party may share some Confidential Information with some third-parties (including consultants, agents and professional advisors)..
### Response: {"Parameters": ["Date", "Company involved", "Address", "Person addressed", "Purpose of letter", "Disclosure of information", "Definition of parties", "Confidentiality agreement", "Definition of Representatives", "Permitted use of information"], "Values": ["July 1, 2005", "Omnicare, Inc. and Nectarine Acquisition Corp.", "100 East RiverCenter Boulevard Covington, Kentucky 41011", "Joel F. Gemunder, President and Chief Executive Officer", "Possible business combination transaction", "Mutual information sharing between the parties involved", "Disclosing Party and Receiving Party", "Agreement to keep Evaluation Material and Discussion Information confidential", "Directors, officers, employees, agents, affiliates, partners, advisors or representatives of each party and those of its subsidiaries, affiliates and/or divisions", "For the sole purpose of considering and evaluating the Possible Transaction"]} | {"Parameters": ["Date", "Company involved", "Address", "Person addressed", "Purpose of letter", "Disclosure of information", "Definition of parties", "Confidentiality agreement", "Definition of Representatives", "Permitted use of information"], "Values": ["July 1, 2005", "Omnicare, Inc. and Nectarine Acquisition Corp.", "100 East RiverCenter Boulevard Covington, Kentucky 41011", "Joel F. Gemunder, President and Chief Executive Officer", "Possible business combination transaction", "Mutual information sharing between the parties involved", "Disclosing Party and Receiving Party", "Agreement to keep Evaluation Material and Discussion Information confidential", "Directors, officers, employees, agents, affiliates, partners, advisors or representatives of each party and those of its subsidiaries, affiliates and/or divisions", "For the sole purpose of considering and evaluating the Possible Transaction"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Date, Company involved, Address, Person addressed, Purpose of letter, Disclosure of information, Definition of parties, Confidentiality agreement, Definition of Representatives, Permitted use of information.
This is the Text: Premise: Non-Disclosure Agreement July 1, 2005 Omnicare, Inc. Nectarine Acquisition Corp. 100 East RiverCenter Boulevard Covington, Kentucky 41011 Attn: Joel F. Gemunder, President and Chief Executive Officer Dear Mr. Gemunder: In connection with your consideration of a possible business combination transaction involving all or substantially all (a “Possible Transaction”) of the outstanding common stock of NeighborCare, Inc. (collectively with its businesses, subsidiaries and divisions, the “Company”), the Company is prepared to make available to you certain information concerning the business, financial condition, operations, assets and liabilities of the Company. In connection with the Possible Transaction, which may involve stock or other securities issued by you, you are prepared to make available to the Company certain information concerning you and your business, financial condition, operations, assets and liabilities. The party disclosing information shall be referred to herein as the “Disclosing Party” and the party receiving information shall be referred to as the “Receiving Party.” As a condition to each Receiving Party and their Representatives (as defined below) being furnished with such information, the Receiving Party agrees to treat any information concerning the Disclosing Party (whether prepared by the Disclosing Party, its Representatives or otherwise and irrespective of the form of communication) which is furnished to the Receiving Party or its Representatives now or in the future by or on behalf of the Disclosing Party (collectively, the “Evaluation Material”) and Discussion Information (as defined below) confidential in accordance with the provisions of this letter agreement, and to take or refrain from taking certain other actions as hereinafter set forth. As used in this letter agreement, a party’s “Representatives” shall include the directors, officers, employees, agents, affiliates (as such term is defined under the Securities Exchange Act of 1934, as amended (the “1934 Act”)), partners, advisors or representatives of such party and those of its subsidiaries, affiliates and/or divisions (including, without limitation, attorneys, accountants, consultants,
Hypothesis: Receiving Party may share some Confidential Information with some third-parties (including consultants, agents and professional advisors).. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient Name, Apology for Delay, Reviewed Comments, Paragraph 1 Comment, Paragraph 2 Comment, Redraft Proposal, Paragraph 10 Comment, Final Document, Sender Name, Phone Number, E-mail.
This is the Text: Jennifer -
I sincerely apologize to you for my delay in responding. I had honestly
thought I had done so, but guess I was wrong.
I have reviewed the comments you made to the agreement and have the following
comments:
1. Paragraph 1 - First insertion of "or those of its affiliates" - this is
acceptable.
2. Paragraph 2 - Second insertion of "or its affiliates" - Since the term
"Company" is not a defined term and, as a defined term, is not used elsewhere
in the agreement, I would proposed that the provision where this word appears
be redrafted to state --
"Without limiting the generality of the foregoing, each such Representative
must be specifically informed that he/she can use the Confidential
Information solely in his/her capacity as a Representative of the Protected
Party."
3. Paragraph 10 - The change to this area for New York law is fine.
Presuming the change in Paragraph 2 is acceptable, I will have the final
documents prepared, signed and forwarded for signature to your attention.
Mark
Senior Counsel, ENA
Phone: 713-345-8897
Facsimile: 713-646-3940
E-Mail: Mark.Greenberg@enron.com
Jennifer Farac <Jennifer.Farac@360.net>
02/08/2001 01:52 PM
To: "'Mark.Greenberg@enron.com'" <Mark.Greenberg@enron.com>
cc: Vanessa Wittman <vanessaw@360.net>
Subject: 360 Networks Enron Net Works NDA
Mark,
I have reviewed your standard form NDA and have noted two minor comments
thereon. I have suggested the State of New York as a more neutral
jurisdiction and one that is widely used in commerical transactions, rather
than the State of Texas. The other comments are self explanatory.
Please contact me should you have any concerns.
> <<360 Networks - Enron NDA.doc>>
Jennifer Farac
Legal Counsel
360networks inc.
Direct: 604.648.7838
Fax: 604.648.7747
Email: jfarac@360.net
NOTE: This email message contains information that is confidential and may
be privileged. It is intended only for the addressee. If you have received
this email message in error, please email the sender by replying to it and
then deleting it. We appreciate your assistance in correcting this error.
- 360 Networks - Enron NDA.doc.
### Response: {"Parameters": ["Recipient Name", "Apology for Delay", "Reviewed Comments", "Paragraph 1 Comment", "Paragraph 2 Comment", "Redraft Proposal", "Paragraph 10 Comment", "Final Document", "Sender Name", "Phone Number", "E-mail"], "Values": ["Jennifer", "Apology made for delaying response", "Comments to the agreement were reviewed", "First insertion of 'or those of its affiliates' is acceptable", "Proposed a redrafting for the provision with 'Company' to be replaced with 'Protected Party'", "Redrafting proposal presented", "Change made to Paragraph 10 is fine", "Final documents will be prepared, signed and forwarded to recipient's attention", "Mark", "713-345-8897", "Mark.Greenberg@enron.com"]} | {"Parameters": ["Recipient Name", "Apology for Delay", "Reviewed Comments", "Paragraph 1 Comment", "Paragraph 2 Comment", "Redraft Proposal", "Paragraph 10 Comment", "Final Document", "Sender Name", "Phone Number", "E-mail"], "Values": ["Jennifer", "Apology made for delaying response", "Comments to the agreement were reviewed", "First insertion of 'or those of its affiliates' is acceptable", "Proposed a redrafting for the provision with 'Company' to be replaced with 'Protected Party'", "Redrafting proposal presented", "Change made to Paragraph 10 is fine", "Final documents will be prepared, signed and forwarded to recipient's attention", "Mark", "713-345-8897", "Mark.Greenberg@enron.com"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient Name, Apology for Delay, Reviewed Comments, Paragraph 1 Comment, Paragraph 2 Comment, Redraft Proposal, Paragraph 10 Comment, Final Document, Sender Name, Phone Number, E-mail.
This is the Text: Jennifer -
I sincerely apologize to you for my delay in responding. I had honestly
thought I had done so, but guess I was wrong.
I have reviewed the comments you made to the agreement and have the following
comments:
1. Paragraph 1 - First insertion of "or those of its affiliates" - this is
acceptable.
2. Paragraph 2 - Second insertion of "or its affiliates" - Since the term
"Company" is not a defined term and, as a defined term, is not used elsewhere
in the agreement, I would proposed that the provision where this word appears
be redrafted to state --
"Without limiting the generality of the foregoing, each such Representative
must be specifically informed that he/she can use the Confidential
Information solely in his/her capacity as a Representative of the Protected
Party."
3. Paragraph 10 - The change to this area for New York law is fine.
Presuming the change in Paragraph 2 is acceptable, I will have the final
documents prepared, signed and forwarded for signature to your attention.
Mark
Senior Counsel, ENA
Phone: 713-345-8897
Facsimile: 713-646-3940
E-Mail: Mark.Greenberg@enron.com
Jennifer Farac <Jennifer.Farac@360.net>
02/08/2001 01:52 PM
To: "'Mark.Greenberg@enron.com'" <Mark.Greenberg@enron.com>
cc: Vanessa Wittman <vanessaw@360.net>
Subject: 360 Networks Enron Net Works NDA
Mark,
I have reviewed your standard form NDA and have noted two minor comments
thereon. I have suggested the State of New York as a more neutral
jurisdiction and one that is widely used in commerical transactions, rather
than the State of Texas. The other comments are self explanatory.
Please contact me should you have any concerns.
> <<360 Networks - Enron NDA.doc>>
Jennifer Farac
Legal Counsel
360networks inc.
Direct: 604.648.7838
Fax: 604.648.7747
Email: jfarac@360.net
NOTE: This email message contains information that is confidential and may
be privileged. It is intended only for the addressee. If you have received
this email message in error, please email the sender by replying to it and
then deleting it. We appreciate your assistance in correcting this error.
- 360 Networks - Enron NDA.doc. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_net_price, seller, total_gross_worth, total_vat, Richard and Hunter 177 Ralph Oval Apt. 840 Lake Julie, invoice_date.
This is the Text: ice_no 16131761 invoice_date 12/04/2015 seller Figueroa Richard and Hunter 177 Ralph Oval Apt. 840 Lake Julie MD 68049 client Watts-Glover 765 Danny Islands New Robinberg KS 90636 seller_tax_id 997-81-6205 client_tax_id 960-96-3792 iban GB67GACG37604699494790 item_1_desc Rickshaw Decoration Gift Wine Rack Retro Holder Bar Home Ornaments Vintage Iron item_1_qty 4 item_1_net_price €71.49 item_1_net_worth €285.96 item_1_vat 10% item_1_gross_worth €314.56 item_2_desc Custom wine glass item_2_qty 4 item_2_net_price 19 item_2_net_worth 76 item_2_vat 10% item_2_gross_worth €83.60 total_net_worth €361.96 total_vat €36.20 total_gross_worth €398.16.
### Response: {'Parameters': ['item_2_net_price', 'seller', 'total_gross_worth', 'total_vat', 'invoice_date'], 'Values': ['19', 'Figueroa', '€398.16', '€36.20', '12/04/2015']} | {'Parameters': ['item_2_net_price', 'seller', 'total_gross_worth', 'total_vat', 'invoice_date'], 'Values': ['19', 'Figueroa', '€398.16', '€36.20', '12/04/2015']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_net_price, seller, total_gross_worth, total_vat, Richard and Hunter 177 Ralph Oval Apt. 840 Lake Julie, invoice_date.
This is the Text: ice_no 16131761 invoice_date 12/04/2015 seller Figueroa Richard and Hunter 177 Ralph Oval Apt. 840 Lake Julie MD 68049 client Watts-Glover 765 Danny Islands New Robinberg KS 90636 seller_tax_id 997-81-6205 client_tax_id 960-96-3792 iban GB67GACG37604699494790 item_1_desc Rickshaw Decoration Gift Wine Rack Retro Holder Bar Home Ornaments Vintage Iron item_1_qty 4 item_1_net_price €71.49 item_1_net_worth €285.96 item_1_vat 10% item_1_gross_worth €314.56 item_2_desc Custom wine glass item_2_qty 4 item_2_net_price 19 item_2_net_worth 76 item_2_vat 10% item_2_gross_worth €83.60 total_net_worth €361.96 total_vat €36.20 total_gross_worth €398.16. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: dress price, discount offer, bridesmaids dress color, bridesmaids dress top 1, bridesmaids dress top 2, bridesmaids dress skirt, bridesmaids dress sister, hostess dress, picture request 1, picture request 2.
This is the Text: Girl, that's extremely reasonable! I'll order mine early, where are we purchasing them from?
P.S. Please send "Tarsha" a picture of my dress. I think I accidentally deleted the picture of my dress, doggonit! (You know I need to brush p on my e-mail skills.....they laugh at me all the time.)
-----Original Message-----
From: hope-frelix@reliantenergy.com@ENRON [mailto:IMCEANOTES-hope-frelix+40reliantenergy+2Ecom+40ENRON@ENRON.com]
Sent: Tuesday, September 25, 2001 1:48 PM
To: Mims, Patrice L.
Subject: RE: Your dress :o)
You are a mess! That is a shawl sweetie not a bow :o) and it is priced at
$110. If purchased by October 31st, you will get 15% off.
I really hope that Jordan will want to do it :o)
Here is one picture of the bridesmaids dress. I am using two different
tops. Some of the girls will wear the one below and the other girls will
wear a strapless top. The color of them all are Rosebud. My sister will
wear a Rosebud lace outfit. They don't have a picture on the web of the
strapless top or my sister's dress but I can show it to you in a book. The
girls who are wearing the strapless top will also wear the same straight
skirt that is pictured. I am also attaching a picture of my mommy's dress.
(See attached file: bridesmaiddress.jpg)(See attached file:
mommy'sdress.jpg)
Patrice.L.Mims
@enron.com To:
IMCEANOTES-hope-frelix+40reliantenergy+2Ecom+40ENRON@EN
09/25/01 12:38 RON.com
PM cc:
Subject: RE: Your dress :o)
Hope, Hope, Hope,
The dress is gorgeous!!!!!! But, hold up, you know you're forcing me to go
to the Quick Weight Loss Center about 6 months before the wedding!!!! Is
that a shawl (I hope) and not a bow on the butt is it? How much is the
dress, my co-workers and I have a bet going. (p.s. I'm not worried about
the cost, I just want to look good!)
What a terrific compliment from little miss Taylor, I'm certain Jordan will
be thrilled. That'll be so cute! I'll ask him tonight and explain
everything to him. I'm sure when I mention Taylor, he'll go to grinning as
well. That boy is a mess!
Talk to you soon!
P.S. Please send a picture of the bridemaids dress as well, and what color!
-----Original Message-----
From: hope-frelix@reliantenergy.com@ENRON
[mailto:IMCEANOTES-hope-frelix+40reliantenergy+2Ecom+40ENRON@ENRON.com]
Sent: Tuesday, September 25, 2001 11:50 AM
To: Mims, Patrice L.
Subject: Your dress :o)
Hey Tricey!!!!!!!!!
You are just the sweetest person ever. Here is a picture of your dress
but
the color of it will be champagne. I will have details later for you
tonight at rehearsal. I hope that you like it :o)
Also, Taylor has decided to be the miniature bride opposed to being a
girl
and she wants Jordan to walk with her. So, now I have another question
:o)
Do you think that Jordan would mind being the miniature groom? When we
talked about it this morning Taylor was saying how she wanted him to
walk
with her and then she said, 'watch he's going to be so shy momma' with
the
biggest smile on her face.
Love ya!
(See attached file: hostessdress.jpg)
- hostessdress.jpg << File: hostessdress.jpg >>
**********************************************************************
This e-mail is the property of Enron Corp. and/or its relevant affiliate
and may contain confidential and privileged material for the sole use of
the intended recipient (s). Any review, use, distribution or disclosure by
others is strictly prohibited. If you are not the intended recipient (or
authorized to receive for the recipient), please contact the sender or
reply to Enron Corp. at enron.messaging.administration@enron.com and delete
all copies of the message. This e-mail (and any attachments hereto) are not
intended to be an offer (or an acceptance) and do not create or evidence a
binding and enforceable contract between Enron Corp. (or any of its
affiliates) and the intended recipient or any other party, and may not be
relied on by anyone as the basis of a contract by estoppel or otherwise.
Thank you.
**********************************************************************
- bridesmaiddress.jpg << File: bridesmaiddress.jpg >>
- mommy'sdress.jpg << File: mommy'sdress.jpg >>.
### Response: {"Parameters": ["dress price", "discount offer", "bridesmaids dress color", "bridesmaids dress top 1", "bridesmaids dress top 2", "bridesmaids dress skirt", "bridesmaids dress sister", "hostess dress", "picture request 1", "picture request 2"], "Values": ["$110", "15%", "Rosebud", "wearing top 1", "wearing top 2", "straight skirt", "Rosebud lace outfit", "attached", "bridemaids dress", "Tarsha"]} | {"Parameters": ["dress price", "discount offer", "bridesmaids dress color", "bridesmaids dress top 1", "bridesmaids dress top 2", "bridesmaids dress skirt", "bridesmaids dress sister", "hostess dress", "picture request 1", "picture request 2"], "Values": ["$110", "15%", "Rosebud", "wearing top 1", "wearing top 2", "straight skirt", "Rosebud lace outfit", "attached", "bridemaids dress", "Tarsha"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: dress price, discount offer, bridesmaids dress color, bridesmaids dress top 1, bridesmaids dress top 2, bridesmaids dress skirt, bridesmaids dress sister, hostess dress, picture request 1, picture request 2.
This is the Text: Girl, that's extremely reasonable! I'll order mine early, where are we purchasing them from?
P.S. Please send "Tarsha" a picture of my dress. I think I accidentally deleted the picture of my dress, doggonit! (You know I need to brush p on my e-mail skills.....they laugh at me all the time.)
-----Original Message-----
From: hope-frelix@reliantenergy.com@ENRON [mailto:IMCEANOTES-hope-frelix+40reliantenergy+2Ecom+40ENRON@ENRON.com]
Sent: Tuesday, September 25, 2001 1:48 PM
To: Mims, Patrice L.
Subject: RE: Your dress :o)
You are a mess! That is a shawl sweetie not a bow :o) and it is priced at
$110. If purchased by October 31st, you will get 15% off.
I really hope that Jordan will want to do it :o)
Here is one picture of the bridesmaids dress. I am using two different
tops. Some of the girls will wear the one below and the other girls will
wear a strapless top. The color of them all are Rosebud. My sister will
wear a Rosebud lace outfit. They don't have a picture on the web of the
strapless top or my sister's dress but I can show it to you in a book. The
girls who are wearing the strapless top will also wear the same straight
skirt that is pictured. I am also attaching a picture of my mommy's dress.
(See attached file: bridesmaiddress.jpg)(See attached file:
mommy'sdress.jpg)
Patrice.L.Mims
@enron.com To:
IMCEANOTES-hope-frelix+40reliantenergy+2Ecom+40ENRON@EN
09/25/01 12:38 RON.com
PM cc:
Subject: RE: Your dress :o)
Hope, Hope, Hope,
The dress is gorgeous!!!!!! But, hold up, you know you're forcing me to go
to the Quick Weight Loss Center about 6 months before the wedding!!!! Is
that a shawl (I hope) and not a bow on the butt is it? How much is the
dress, my co-workers and I have a bet going. (p.s. I'm not worried about
the cost, I just want to look good!)
What a terrific compliment from little miss Taylor, I'm certain Jordan will
be thrilled. That'll be so cute! I'll ask him tonight and explain
everything to him. I'm sure when I mention Taylor, he'll go to grinning as
well. That boy is a mess!
Talk to you soon!
P.S. Please send a picture of the bridemaids dress as well, and what color!
-----Original Message-----
From: hope-frelix@reliantenergy.com@ENRON
[mailto:IMCEANOTES-hope-frelix+40reliantenergy+2Ecom+40ENRON@ENRON.com]
Sent: Tuesday, September 25, 2001 11:50 AM
To: Mims, Patrice L.
Subject: Your dress :o)
Hey Tricey!!!!!!!!!
You are just the sweetest person ever. Here is a picture of your dress
but
the color of it will be champagne. I will have details later for you
tonight at rehearsal. I hope that you like it :o)
Also, Taylor has decided to be the miniature bride opposed to being a
girl
and she wants Jordan to walk with her. So, now I have another question
:o)
Do you think that Jordan would mind being the miniature groom? When we
talked about it this morning Taylor was saying how she wanted him to
walk
with her and then she said, 'watch he's going to be so shy momma' with
the
biggest smile on her face.
Love ya!
(See attached file: hostessdress.jpg)
- hostessdress.jpg << File: hostessdress.jpg >>
**********************************************************************
This e-mail is the property of Enron Corp. and/or its relevant affiliate
and may contain confidential and privileged material for the sole use of
the intended recipient (s). Any review, use, distribution or disclosure by
others is strictly prohibited. If you are not the intended recipient (or
authorized to receive for the recipient), please contact the sender or
reply to Enron Corp. at enron.messaging.administration@enron.com and delete
all copies of the message. This e-mail (and any attachments hereto) are not
intended to be an offer (or an acceptance) and do not create or evidence a
binding and enforceable contract between Enron Corp. (or any of its
affiliates) and the intended recipient or any other party, and may not be
relied on by anyone as the basis of a contract by estoppel or otherwise.
Thank you.
**********************************************************************
- bridesmaiddress.jpg << File: bridesmaiddress.jpg >>
- mommy'sdress.jpg << File: mommy'sdress.jpg >>. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Buyer, Broker, Business, Information, Agreement, Confidential Information, Receiving Party.
This is the Text: Premise: STANDARD BUYER'S NON-DISCLOSURE AND CONFIDENTIALITY AGREEMENT The undersigned (the "Buyer") understands and acknowledges that STONY HILL BUSINESS BROKERS, LLC (the "Broker") has been retained, for an agreed upon commission, to represent _________________________________________ (“Seller”) in the sale of the Business. Buyer understands and acknowledges the Broker is acting as the agent of the Seller and that Broker's primary duty is to represent the interests of the Seller. In order to induce Broker and Seller to furnish information regarding the Business (the "Information") to Buyer for Buyer's evaluation and possible purchase of said Business and in consideration for Broker and Seller furnishing such information, Buyer understands, agrees, represents and warrants to Broker and Seller as follows: 1. The word "Buyer”, as used herein shall mean and include the undersigned individually, and any partnership, limited liability company, corporation, or any other business entity identified below. 2. The Information is of a proprietary and confidential nature, the disclosure of which to any other party could result in damages to the Seller and/or Business. (a) The Information furnished by Broker or Seller has not been publicly disclosed, has not been made available to Buyer by any party or source other than Broker or Seller and is being furnished only upon the terms and conditions contained in this Agreement; (b) Buyer will not disclose the Information, in whole or in part, to any party other than persons within Buyer's organization, including independent advisers/consultants, who have a need to know such Information for purposes of evaluating or structuring the possible purchase of the Business. Buyer accepts full responsibility for full compliance with all provisions of this Agreement by such other persons; (c) Buyer will not disclose, except to the extent required by law, to any parties other than the persons described in Paragraph 2(B) above that the Business is available for purchase or that evaluations, discussions or negotiations are taking place concerning a possible purchase; (d) Buyer will not utilize, now or at any time in the future, any trade secret(s), as that term may be defined under
Hypothesis: Receiving Party shall not use any Confidential Information for any purpose other than the purposes stated in Agreement..
### Response: {"Parameters": ["Buyer", "Broker", "Business", "Information", "Agreement", "Confidential Information", "Receiving Party"], "Values": ["The undersigned", "STONY HILL BUSINESS BROKERS, LLC", "the sale", "of a proprietary and confidential nature", "NON-DISCLOSURE AND CONFIDENTIALITY AGREEMENT", "trade secret(s)", "shall not use any Confidential Information for any purpose other than the purposes stated in Agreement."]} | {"Parameters": ["Buyer", "Broker", "Business", "Information", "Agreement", "Confidential Information", "Receiving Party"], "Values": ["The undersigned", "STONY HILL BUSINESS BROKERS, LLC", "the sale", "of a proprietary and confidential nature", "NON-DISCLOSURE AND CONFIDENTIALITY AGREEMENT", "trade secret(s)", "shall not use any Confidential Information for any purpose other than the purposes stated in Agreement."]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Buyer, Broker, Business, Information, Agreement, Confidential Information, Receiving Party.
This is the Text: Premise: STANDARD BUYER'S NON-DISCLOSURE AND CONFIDENTIALITY AGREEMENT The undersigned (the "Buyer") understands and acknowledges that STONY HILL BUSINESS BROKERS, LLC (the "Broker") has been retained, for an agreed upon commission, to represent _________________________________________ (“Seller”) in the sale of the Business. Buyer understands and acknowledges the Broker is acting as the agent of the Seller and that Broker's primary duty is to represent the interests of the Seller. In order to induce Broker and Seller to furnish information regarding the Business (the "Information") to Buyer for Buyer's evaluation and possible purchase of said Business and in consideration for Broker and Seller furnishing such information, Buyer understands, agrees, represents and warrants to Broker and Seller as follows: 1. The word "Buyer”, as used herein shall mean and include the undersigned individually, and any partnership, limited liability company, corporation, or any other business entity identified below. 2. The Information is of a proprietary and confidential nature, the disclosure of which to any other party could result in damages to the Seller and/or Business. (a) The Information furnished by Broker or Seller has not been publicly disclosed, has not been made available to Buyer by any party or source other than Broker or Seller and is being furnished only upon the terms and conditions contained in this Agreement; (b) Buyer will not disclose the Information, in whole or in part, to any party other than persons within Buyer's organization, including independent advisers/consultants, who have a need to know such Information for purposes of evaluating or structuring the possible purchase of the Business. Buyer accepts full responsibility for full compliance with all provisions of this Agreement by such other persons; (c) Buyer will not disclose, except to the extent required by law, to any parties other than the persons described in Paragraph 2(B) above that the Business is available for purchase or that evaluations, discussions or negotiations are taking place concerning a possible purchase; (d) Buyer will not utilize, now or at any time in the future, any trade secret(s), as that term may be defined under
Hypothesis: Receiving Party shall not use any Confidential Information for any purpose other than the purposes stated in Agreement.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: From, Subject, Date, MIME-Version.
This is the Text: ---------------------- Forwarded by Judy Hernandez/HOU/ECT on 07/12/2000
04:34 PM ---------------------------
Maria Sandoval
07/12/2000 11:00 AM
To: Andrea R Guillen/HOU/ECT@ECT, Phenicia Olivier/HOU/ECT@ECT, Bernice
Rodriguez/HOU/ECT@ECT, Melissa Rodriguez/HOU/ECT@ECT, Cassandra S
Dutton/HOU/ECT@ECT, Lorraine Becker/HOU/ECT@ECT, Melba Lozano/HOU/ECT@ECT,
Chantelle Villanueva/HOU/ECT@ECT, patty.soria@halliburton.com,
elizabeth.gutierrez@eott.com, Judy Hernandez/HOU/ECT@ECT, Elizabeth
Soto/HOU/ECT@ECT, amolina@unifirst.com, Pamela Sonnier/HOU/ECT@ECT, Brenda
Barreda/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Yolanda Pena/Corp/Enron@Enron,
Claudia Clark/HOU/ECT@ECT, Lisa Shoemake/HOU/ECT@ECT, Amber
Limas/HOU/ECT@ECT, Alex Saldana/HOU/ECT@ECT, margiec@networkinterstate.com,
yolanda.sandoval@halliburton.com
cc:
Subject: FW: Fw: Spaghetti
---------------------- Forwarded by Maria Sandoval/HOU/ECT on 07/12/2000
10:59 AM ---------------------------
Patty Soria <Patty.Soria@HALLIBURTON.com> on 07/12/2000 10:34:48 AM
To: "'Molina, Angelica'" <amolina@unifirst.com>, "'Ragland, Dinah'"
<Dinah.L.Ragland@aero.org>, "'Sandoval, Maria'" <Maria.Sandoval@enron.com>
cc:
Subject: FW: Fw: Spaghetti
Patty Soria
Procurement Support Services
( 713-753-2676? O 713-753-3402
* E-Mail:? Patty.Soria@HALLIBURTON.com
-----Original Message-----
From:?? ADSilvestre@cs.com [SMTP:ADSilvestre@cs.com]
Sent:?? Monday, July 10, 2000 6:41 PM
To:???? jblack@msfrost.com; stephanie30@earthlink.net; Coryj98@aol.com;
robbchi@yahoo.com; Omomma@aol.com; MRoss42345@aol.com; Jpsoria@aol.com;
Patty.Soria@halliburton.com; steven.domkowski@teligent.com;
ameweaver@yahoo.com; ben@freeme.com
Subject:??????? Fwd: Fw:? Spaghetti
? <<Fw: Spaghetti>>
Message-ID: <000001bfeac6$118953e0$02dadacf@computer>
From: Louis Gomez <Louisg@ev1.net>
Reply-To: Louis Gomez <Louisg@ev1.net>
To: Vicki Webb <Vickiwebb@aol.com>, Anthony Silvestre <ADSilvestre@cs.com>,
"Puente, Maria A." <maria.puente@bmo.com>, Lydia Nava <lnava@ev1.net>, Alice
Madrid <a madrid@ev1.net>, Sonia Loberg <Lobergs@yahoo.com>, Danny & Gloria
Gomez <dnggomez@gateway.net>, Sergio Gonzalez <gsergio_@hotmail.com>
Subject: Fw: Spaghetti
Date: Fri, 7 Jul 2000 22:06:26 -0500
MIME-Version: 1.0
X-Mailer: Internet Mail Service (5.5.2650.21)
Content-Type: multipart/alternative;
boundary="----_=_NextPart_003_01BFEC17.F2877AD2"
----- Original Message -----
From: "Linda Koppy" <lkoppy@gsla.com>
To: <Cbardwel@gsla.com>
Sent: Friday, June 30, 2000 9:07 AM
Subject: Spaghetti
A doctor was having an affair with his nurse. Shortly
after this started, she told him she was pregnant. Not
wanting his wife to know, he gave the nurse a large
sum of money and asked her to go to Italy and have the
baby there.
"But how will I let you know the baby is born?" she
asked.
He replied, "Just send me a postcard and write
'spaghetti' on the back."
Not knowing what else to do, the nurse took the money
and flew to Italy. Six months went by and then one day
the doctor's wife called him at the office and
explained, "Dear, you received a very strange postcard
in the mail today and I don't understand what it
means."
The doctor said, "Just wait until I get home and read
it and I will explain it to you."
Later that evening the doctor came home, read the
postcard, fell to the floor with a heart attack - and
died.
So the wife picked up the cord and read, "Spaghetti,
Spaghetti, Spaghetti, Spaghetti - two with sausage and
meatballs, two without.".
### Response: {"Parameters": ["From", "Subject", "Date", "MIME-Version"], "Values": ["Louis Gomez <Louisg@ev1.net>", "Fw: Spaghetti", "Fri, 7 Jul 2000 22:06:26 -0500", "1.0"]} | {"Parameters": ["From", "Subject", "Date", "MIME-Version"], "Values": ["Louis Gomez <Louisg@ev1.net>", "Fw: Spaghetti", "Fri, 7 Jul 2000 22:06:26 -0500", "1.0"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: From, Subject, Date, MIME-Version.
This is the Text: ---------------------- Forwarded by Judy Hernandez/HOU/ECT on 07/12/2000
04:34 PM ---------------------------
Maria Sandoval
07/12/2000 11:00 AM
To: Andrea R Guillen/HOU/ECT@ECT, Phenicia Olivier/HOU/ECT@ECT, Bernice
Rodriguez/HOU/ECT@ECT, Melissa Rodriguez/HOU/ECT@ECT, Cassandra S
Dutton/HOU/ECT@ECT, Lorraine Becker/HOU/ECT@ECT, Melba Lozano/HOU/ECT@ECT,
Chantelle Villanueva/HOU/ECT@ECT, patty.soria@halliburton.com,
elizabeth.gutierrez@eott.com, Judy Hernandez/HOU/ECT@ECT, Elizabeth
Soto/HOU/ECT@ECT, amolina@unifirst.com, Pamela Sonnier/HOU/ECT@ECT, Brenda
Barreda/ENRON_DEVELOPMENT@ENRON_DEVELOPMENT, Yolanda Pena/Corp/Enron@Enron,
Claudia Clark/HOU/ECT@ECT, Lisa Shoemake/HOU/ECT@ECT, Amber
Limas/HOU/ECT@ECT, Alex Saldana/HOU/ECT@ECT, margiec@networkinterstate.com,
yolanda.sandoval@halliburton.com
cc:
Subject: FW: Fw: Spaghetti
---------------------- Forwarded by Maria Sandoval/HOU/ECT on 07/12/2000
10:59 AM ---------------------------
Patty Soria <Patty.Soria@HALLIBURTON.com> on 07/12/2000 10:34:48 AM
To: "'Molina, Angelica'" <amolina@unifirst.com>, "'Ragland, Dinah'"
<Dinah.L.Ragland@aero.org>, "'Sandoval, Maria'" <Maria.Sandoval@enron.com>
cc:
Subject: FW: Fw: Spaghetti
Patty Soria
Procurement Support Services
( 713-753-2676? O 713-753-3402
* E-Mail:? Patty.Soria@HALLIBURTON.com
-----Original Message-----
From:?? ADSilvestre@cs.com [SMTP:ADSilvestre@cs.com]
Sent:?? Monday, July 10, 2000 6:41 PM
To:???? jblack@msfrost.com; stephanie30@earthlink.net; Coryj98@aol.com;
robbchi@yahoo.com; Omomma@aol.com; MRoss42345@aol.com; Jpsoria@aol.com;
Patty.Soria@halliburton.com; steven.domkowski@teligent.com;
ameweaver@yahoo.com; ben@freeme.com
Subject:??????? Fwd: Fw:? Spaghetti
? <<Fw: Spaghetti>>
Message-ID: <000001bfeac6$118953e0$02dadacf@computer>
From: Louis Gomez <Louisg@ev1.net>
Reply-To: Louis Gomez <Louisg@ev1.net>
To: Vicki Webb <Vickiwebb@aol.com>, Anthony Silvestre <ADSilvestre@cs.com>,
"Puente, Maria A." <maria.puente@bmo.com>, Lydia Nava <lnava@ev1.net>, Alice
Madrid <a madrid@ev1.net>, Sonia Loberg <Lobergs@yahoo.com>, Danny & Gloria
Gomez <dnggomez@gateway.net>, Sergio Gonzalez <gsergio_@hotmail.com>
Subject: Fw: Spaghetti
Date: Fri, 7 Jul 2000 22:06:26 -0500
MIME-Version: 1.0
X-Mailer: Internet Mail Service (5.5.2650.21)
Content-Type: multipart/alternative;
boundary="----_=_NextPart_003_01BFEC17.F2877AD2"
----- Original Message -----
From: "Linda Koppy" <lkoppy@gsla.com>
To: <Cbardwel@gsla.com>
Sent: Friday, June 30, 2000 9:07 AM
Subject: Spaghetti
A doctor was having an affair with his nurse. Shortly
after this started, she told him she was pregnant. Not
wanting his wife to know, he gave the nurse a large
sum of money and asked her to go to Italy and have the
baby there.
"But how will I let you know the baby is born?" she
asked.
He replied, "Just send me a postcard and write
'spaghetti' on the back."
Not knowing what else to do, the nurse took the money
and flew to Italy. Six months went by and then one day
the doctor's wife called him at the office and
explained, "Dear, you received a very strange postcard
in the mail today and I don't understand what it
means."
The doctor said, "Just wait until I get home and read
it and I will explain it to you."
Later that evening the doctor came home, read the
postcard, fell to the floor with a heart attack - and
died.
So the wife picked up the cord and read, "Spaghetti,
Spaghetti, Spaghetti, Spaghetti - two with sausage and
meatballs, two without.". |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Parties, Transaction, Information, Confidentiality.
This is the Text: Premise: Exhibit (e)(4) CONFIDENTIALITY AND NON-DISCLOSURE AGREEMENT In connection with a possible business transaction (the “Transaction”) involving Manpower Inc. (“COMPANY”) and Comsys IT Partners, Inc. (“COMSYS”), collectively the “Parties,” certain information may be requested by both COMPANY and COMSYS relating to the other party or the Transaction and the Parties have agreed to enter into this Agreement. All such information (whether written or oral) furnished (whether before, on or after the date hereof) by either company, or its directors, officers, employees, representatives (including, without limitation, financial advisors, financing sources, attorneys, consultants and accountants) or agents (collectively, “Representatives”) to the other party and all analyses, compilations, forecasts, studies or other documents prepared by the Parties or their Representatives in connection with their review of, or their interest in, the Transaction which contain, reflect, are generated from or are based upon, in whole or in part, any such information is hereinafter referred to as the “Information.” The term Information will not, however, include information which (i) is or becomes generally available to the public other than as a result of a disclosure by the receiving Party or its Representatives that is prohibited by this Agreement; (ii) is or becomes available to the receiving Party on a nonconfidential basis from a source which, to the best of its knowledge, is not known to be prohibited from disclosing such information to the receiving Party by a legal, contractual or fiduciary obligation to either Party; (iii) was in possession of the receiving Party prior to the disclosure of the information pursuant to this Agreement, provided that the source of such information was not known by the receiving Party, after due inquiry, to be subject to an obligation not to disclose such information; or (iv) is independently developed without reference to or use of the Information. Accordingly, the Parties hereby agree that: 1. The Parties and their Representatives (i) will keep the Information strictly confidential and will not (except
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees..
### Response: {"Parameters": ["Premise", "Parties", "Transaction", "Information", "Confidentiality"], "Values": ["Exhibit (e)(4) CONFIDENTIALITY AND NON-DISCLOSURE AGREEMENT", "Manpower Inc. ('COMPANY') and Comsys IT Partners, Inc. ('COMSYS')", "possible business transaction", "certain information may be requested by both COMPANY and COMSYS relating to the other party or the Transaction", "strictly confidential"]} | {"Parameters": ["Premise", "Parties", "Transaction", "Information", "Confidentiality"], "Values": ["Exhibit (e)(4) CONFIDENTIALITY AND NON-DISCLOSURE AGREEMENT", "Manpower Inc. ('COMPANY') and Comsys IT Partners, Inc. ('COMSYS')", "possible business transaction", "certain information may be requested by both COMPANY and COMSYS relating to the other party or the Transaction", "strictly confidential"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Premise, Parties, Transaction, Information, Confidentiality.
This is the Text: Premise: Exhibit (e)(4) CONFIDENTIALITY AND NON-DISCLOSURE AGREEMENT In connection with a possible business transaction (the “Transaction”) involving Manpower Inc. (“COMPANY”) and Comsys IT Partners, Inc. (“COMSYS”), collectively the “Parties,” certain information may be requested by both COMPANY and COMSYS relating to the other party or the Transaction and the Parties have agreed to enter into this Agreement. All such information (whether written or oral) furnished (whether before, on or after the date hereof) by either company, or its directors, officers, employees, representatives (including, without limitation, financial advisors, financing sources, attorneys, consultants and accountants) or agents (collectively, “Representatives”) to the other party and all analyses, compilations, forecasts, studies or other documents prepared by the Parties or their Representatives in connection with their review of, or their interest in, the Transaction which contain, reflect, are generated from or are based upon, in whole or in part, any such information is hereinafter referred to as the “Information.” The term Information will not, however, include information which (i) is or becomes generally available to the public other than as a result of a disclosure by the receiving Party or its Representatives that is prohibited by this Agreement; (ii) is or becomes available to the receiving Party on a nonconfidential basis from a source which, to the best of its knowledge, is not known to be prohibited from disclosing such information to the receiving Party by a legal, contractual or fiduciary obligation to either Party; (iii) was in possession of the receiving Party prior to the disclosure of the information pursuant to this Agreement, provided that the source of such information was not known by the receiving Party, after due inquiry, to be subject to an obligation not to disclose such information; or (iv) is independently developed without reference to or use of the Information. Accordingly, the Parties hereby agree that: 1. The Parties and their Representatives (i) will keep the Information strictly confidential and will not (except
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient, Trade Secrets, Employee.
This is the Text: Premise: Non-Disclosure Agreement This Agreement is made as of the ___day of _______, 20_____ (“Effective Date”) by and between ________________________________, having offices at ____________________ and Carnegie Mellon University, having offices at 5000 Forbes Avenue, Pittsburgh, PA 15213 (“Carnegie Mellon”). WHEREAS, for the purpose of furthering a potential research relationship between them, ________________________ and Carnegie Mellon (collectively referred to as the “Parties,” and each individually referred to as a “Party”) have determined to establish terms governing the use and protection of certain Confidential Information (as defined below) that one Party (“Disclosing Party”) may disclose to the other Party (“Recipient”), which information in the case of ____________________________ relates generally to ______________________________ and in the case of Carnegie Mellon relates generally to ___________________________. NOW THEREFORE, intending to be legally bound, the Parties agree as follows: 1. Confidential Information. a) “Confidential Information” means all information both tangible and intangible of a Disclosing Party which relates, respectively, to the above identified subject matter, including, but not limited to, trade secrets, business and technical information and data, disclosed orally, visually, in writing, electronic media or by any other means, and that is marked in accordance with this Section 1. b) With respect to any tangible information that a Disclosing Party would like to be treated as Confidential Information under this Agreement, the Disclosing Party shall mark such information as “Confidential” prior to disclosing it to the Recipient. c) With respect to any oral or visual communication or other intangible information which a Disclosing Party would like to be treated as Confidential Information under this Agreement, the Disclosing Party shall notify Recipient of such fact at the time of disclosure and within fifteen (15) days thereafter
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees..
### Response: {"Parameters": ["Recipient", "Trade Secrets", "Employee"], "Values": ["Carnegie Mellon", "trade secrets", "employees"]} | {"Parameters": ["Recipient", "Trade Secrets", "Employee"], "Values": ["Carnegie Mellon", "trade secrets", "employees"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Recipient, Trade Secrets, Employee.
This is the Text: Premise: Non-Disclosure Agreement This Agreement is made as of the ___day of _______, 20_____ (“Effective Date”) by and between ________________________________, having offices at ____________________ and Carnegie Mellon University, having offices at 5000 Forbes Avenue, Pittsburgh, PA 15213 (“Carnegie Mellon”). WHEREAS, for the purpose of furthering a potential research relationship between them, ________________________ and Carnegie Mellon (collectively referred to as the “Parties,” and each individually referred to as a “Party”) have determined to establish terms governing the use and protection of certain Confidential Information (as defined below) that one Party (“Disclosing Party”) may disclose to the other Party (“Recipient”), which information in the case of ____________________________ relates generally to ______________________________ and in the case of Carnegie Mellon relates generally to ___________________________. NOW THEREFORE, intending to be legally bound, the Parties agree as follows: 1. Confidential Information. a) “Confidential Information” means all information both tangible and intangible of a Disclosing Party which relates, respectively, to the above identified subject matter, including, but not limited to, trade secrets, business and technical information and data, disclosed orally, visually, in writing, electronic media or by any other means, and that is marked in accordance with this Section 1. b) With respect to any tangible information that a Disclosing Party would like to be treated as Confidential Information under this Agreement, the Disclosing Party shall mark such information as “Confidential” prior to disclosing it to the Recipient. c) With respect to any oral or visual communication or other intangible information which a Disclosing Party would like to be treated as Confidential Information under this Agreement, the Disclosing Party shall notify Recipient of such fact at the time of disclosure and within fifteen (15) days thereafter
Hypothesis: Receiving Party may share some Confidential Information with some of Receiving Party's employees.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_gross_worth, seller, item_4_qty, client_tax_id, item_4_gross_worth, item_2_gross_worth, item_2_net_worth, Stevens and Robinson Unit 4195 Box 3361 DPO AP 86918.
This is the Text: ice_no 75367021 invoice_date 11/12/2018 seller Martinez-Ramirez 358 Tiffany Prairie Jerryland AZ 91504 client Lawrence Stevens and Robinson Unit 4195 Box 3361 DPO AP 86918 seller_tax_id 937-84-3596 client_tax_id 912-77-9229 iban GB48JUXI42713843742192 item_1_desc 6'x3' Marble Restaurant Dining Table Top Marquetry Inlay Occasional Decor H5017B item_1_qty 3 item_1_net_price $5138.07 item_1_net_worth $15414.21 item_1_vat 10% item_1_gross_worth 16 $955.63 item_2_desc Carnelian Stone Floral Pattern Dinette Table Top Marble Coffee Table 30 Inches item_2_qty 5 item_2_net_price $993.75 item_2_net_worth $4968.75 item_2_vat 10% item_2_gross_worth 5 $465.63 item_3_desc 15x15 White Marble Chess Top Table Carnelian Inlay Art Black Friday Gift Deco item_3_qty 1 item_3_net_price 600 item_3_net_worth 600 item_3_vat 10% item_3_gross_worth 660 item_4_desc 36 Inches Marble Dinning Table Top Inlay Kitchen Table with Blue Elephant Design item_4_qty 5 item_4_net_price 1515 item_4_net_worth 7575 item_4_vat 10% item_4_gross_worth 8 $332.50 item_5_desc 25 Inches Black Marble Center Table Top with Multi Stones Coffee Table for Home item_5_qty 4 item_5_net_price $731.25 item_5_net_worth 2925 item_5_vat 10% item_5_gross_worth 3 $217.50 item_6_desc 12White Marble Center Coffee Table Top Lapis Random Inlay Cafeteria Decor W294 item_6_qty 1 item_6_net_price $248.78 item_6_net_worth $248.78 item_6_vat 10% item_6_gross_worth $273.66 item_7_desc 27x27 Black Marble Top Coffee Table Floral Inlay Art Black Friday Gift Du00e9cor item_7_qty 1 item_7_net_price 1 588 item_7_net_worth 1588 item_7_vat 10% item_7_gross_worth 1 $746.80 total_net_worth $33319.74 total_vat $3331.97 total_gross_worth $36651.71.
### Response: {'Parameters': ['item_5_gross_worth', 'seller', 'item_4_qty', 'client_tax_id', 'item_4_gross_worth', 'item_2_gross_worth', 'item_2_net_worth'], 'Values': ['3 $217.50', 'Martinez-Ramirez 358 Tiffany Prairie Jerryland', '5', '912-77-9229', '8 $332.50', '5 $465.63', '$4968.75']} | {'Parameters': ['item_5_gross_worth', 'seller', 'item_4_qty', 'client_tax_id', 'item_4_gross_worth', 'item_2_gross_worth', 'item_2_net_worth'], 'Values': ['3 $217.50', 'Martinez-Ramirez 358 Tiffany Prairie Jerryland', '5', '912-77-9229', '8 $332.50', '5 $465.63', '$4968.75']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_gross_worth, seller, item_4_qty, client_tax_id, item_4_gross_worth, item_2_gross_worth, item_2_net_worth, Stevens and Robinson Unit 4195 Box 3361 DPO AP 86918.
This is the Text: ice_no 75367021 invoice_date 11/12/2018 seller Martinez-Ramirez 358 Tiffany Prairie Jerryland AZ 91504 client Lawrence Stevens and Robinson Unit 4195 Box 3361 DPO AP 86918 seller_tax_id 937-84-3596 client_tax_id 912-77-9229 iban GB48JUXI42713843742192 item_1_desc 6'x3' Marble Restaurant Dining Table Top Marquetry Inlay Occasional Decor H5017B item_1_qty 3 item_1_net_price $5138.07 item_1_net_worth $15414.21 item_1_vat 10% item_1_gross_worth 16 $955.63 item_2_desc Carnelian Stone Floral Pattern Dinette Table Top Marble Coffee Table 30 Inches item_2_qty 5 item_2_net_price $993.75 item_2_net_worth $4968.75 item_2_vat 10% item_2_gross_worth 5 $465.63 item_3_desc 15x15 White Marble Chess Top Table Carnelian Inlay Art Black Friday Gift Deco item_3_qty 1 item_3_net_price 600 item_3_net_worth 600 item_3_vat 10% item_3_gross_worth 660 item_4_desc 36 Inches Marble Dinning Table Top Inlay Kitchen Table with Blue Elephant Design item_4_qty 5 item_4_net_price 1515 item_4_net_worth 7575 item_4_vat 10% item_4_gross_worth 8 $332.50 item_5_desc 25 Inches Black Marble Center Table Top with Multi Stones Coffee Table for Home item_5_qty 4 item_5_net_price $731.25 item_5_net_worth 2925 item_5_vat 10% item_5_gross_worth 3 $217.50 item_6_desc 12White Marble Center Coffee Table Top Lapis Random Inlay Cafeteria Decor W294 item_6_qty 1 item_6_net_price $248.78 item_6_net_worth $248.78 item_6_vat 10% item_6_gross_worth $273.66 item_7_desc 27x27 Black Marble Top Coffee Table Floral Inlay Art Black Friday Gift Du00e9cor item_7_qty 1 item_7_net_price 1 588 item_7_net_worth 1588 item_7_vat 10% item_7_gross_worth 1 $746.80 total_net_worth $33319.74 total_vat $3331.97 total_gross_worth $36651.71. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_gross_worth, item_2_net_worth, client_tax_id, item_1_vat, total_vat, total_gross_worth, item_1_net_price, item_2_qty, NV46433.
This is the Text: ice_no 26363966 invoice_date 06/13/2016 seller Griffin Cox and Day 3670 Wong Keys South Troy NV46433 client Fox Inc 76771 Watson Knoll Northjoshuaberg AK 66475 seller_tax_id 989-73-7669 client_tax_id 935-80-4731 iban GB70PACC8898989412041655 item_1_desc Lilly Pulitzer 8 Sunkissed with Glow Janice Shift Dress item_1_qty 5 item_1_net_price €284.45 item_1_vat 10% item_1_gross_worth €312.90 item_2_desc PAS DE CALAIS DRESS WOMENS SIZE 36 item_2_qty 1 item_2_net_price €9.95 item_2_net_worth €9.95 item_2_vat 10% item_2_gross_worth €10.94 total_net_worth €294.40 total_vat €29.44 total_gross_worth €323.84.
### Response: {'Parameters': ['item_2_gross_worth', 'item_2_net_worth', 'client_tax_id', 'item_1_vat', 'total_vat', 'total_gross_worth', 'item_1_net_price', 'item_2_qty'], 'Values': ['€10.94', '€9.95', '935-80-4731', '10%', '€29.44', '€323.84', '€284.45', '1']} | {'Parameters': ['item_2_gross_worth', 'item_2_net_worth', 'client_tax_id', 'item_1_vat', 'total_vat', 'total_gross_worth', 'item_1_net_price', 'item_2_qty'], 'Values': ['€10.94', '€9.95', '935-80-4731', '10%', '€29.44', '€323.84', '€284.45', '1']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_2_gross_worth, item_2_net_worth, client_tax_id, item_1_vat, total_vat, total_gross_worth, item_1_net_price, item_2_qty, NV46433.
This is the Text: ice_no 26363966 invoice_date 06/13/2016 seller Griffin Cox and Day 3670 Wong Keys South Troy NV46433 client Fox Inc 76771 Watson Knoll Northjoshuaberg AK 66475 seller_tax_id 989-73-7669 client_tax_id 935-80-4731 iban GB70PACC8898989412041655 item_1_desc Lilly Pulitzer 8 Sunkissed with Glow Janice Shift Dress item_1_qty 5 item_1_net_price €284.45 item_1_vat 10% item_1_gross_worth €312.90 item_2_desc PAS DE CALAIS DRESS WOMENS SIZE 36 item_2_qty 1 item_2_net_price €9.95 item_2_net_worth €9.95 item_2_vat 10% item_2_gross_worth €10.94 total_net_worth €294.40 total_vat €29.44 total_gross_worth €323.84. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Date, Principal, Phoenix Footwear Group, Company, Merger Effective Date, Employment Period, Consulting Period.
This is the Text: Premise: NON-COMPETITION AND NON-DISCLOSURE AGREEMENT This NON-COMPETITION AND NON-DISCLOSURE AGREEMENT dated this 6th day of August, 2003 (this "AGREEMENT"), is made and entered into by and between HARRISON S. TRASK ("PRINCIPAL"), PHOENIX FOOTWEAR GROUP, INC., a Delaware corporation ("PHOENIX FOOTWEAR"), and its wholly-owned subsidiary PFG ACQUISITION, INC., a Montana corporation ("PFG ACQUISITION"). A. Phoenix Footwear, PFG Acquisition and H.S. Trask & Co., a Montana corporation ("COMPANY"), have entered into an Agreement and Plan of Merger, dated June 16, 2003 (the "MERGER AGREEMENT"), pursuant to which Company shall merge with and into Acquisition Sub and the separate corporate existence of Company shall cease. B. Principal is employed as President and Chief Executive Officer of Company and serves as a director of the Company. C. It is mutually agreed between Principal, Company and PFG Acquisition that Principal shall resign his employment as President and Chief Executive Officer of Company and as a director, said resignation to take effect as of the date that the Merger between Company and PFG Acquisition becomes effective (the "MERGER EFFECTIVE DATE"). D. It is also mutually agreed between Principal, Company and PFG Acquisition that Principal shall be employed as an employee of the surviving corporation to the Merger ("SURVIVING CORPORATION") from the Merger Effective Date to December 31, 2003 and thereafter as a consultant until December 31, 2005. Principal and Surviving Corporation have accordingly entered into an Employment and Consulting Agreement dated August 6, 2003 (the "EMPLOYMENT AND CONSULTING AGREEMENT"). E. Principal owns approximately 38% of the outstanding voting securities of the Company, and will receive considerable financial benefit when the Merger becomes effective. F. The Merger Agreement
Hypothesis: Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information..
### Response: {"Parameters": ["Agreement Date", "Principal", "Phoenix Footwear Group", "Company", "Merger Effective Date", "Employment Period", "Consulting Period"], "Values": ["6th day of August, 2003", "HARRISON S. TRASK", "Delaware corporation", "Montana corporation", "The date the Merger becomes effective", "From the Merger Effective Date to December 31, 2003", "From December 31, 2003 to December 31, 2005"]} | {"Parameters": ["Agreement Date", "Principal", "Phoenix Footwear Group", "Company", "Merger Effective Date", "Employment Period", "Consulting Period"], "Values": ["6th day of August, 2003", "HARRISON S. TRASK", "Delaware corporation", "Montana corporation", "The date the Merger becomes effective", "From the Merger Effective Date to December 31, 2003", "From December 31, 2003 to December 31, 2005"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: Agreement Date, Principal, Phoenix Footwear Group, Company, Merger Effective Date, Employment Period, Consulting Period.
This is the Text: Premise: NON-COMPETITION AND NON-DISCLOSURE AGREEMENT This NON-COMPETITION AND NON-DISCLOSURE AGREEMENT dated this 6th day of August, 2003 (this "AGREEMENT"), is made and entered into by and between HARRISON S. TRASK ("PRINCIPAL"), PHOENIX FOOTWEAR GROUP, INC., a Delaware corporation ("PHOENIX FOOTWEAR"), and its wholly-owned subsidiary PFG ACQUISITION, INC., a Montana corporation ("PFG ACQUISITION"). A. Phoenix Footwear, PFG Acquisition and H.S. Trask & Co., a Montana corporation ("COMPANY"), have entered into an Agreement and Plan of Merger, dated June 16, 2003 (the "MERGER AGREEMENT"), pursuant to which Company shall merge with and into Acquisition Sub and the separate corporate existence of Company shall cease. B. Principal is employed as President and Chief Executive Officer of Company and serves as a director of the Company. C. It is mutually agreed between Principal, Company and PFG Acquisition that Principal shall resign his employment as President and Chief Executive Officer of Company and as a director, said resignation to take effect as of the date that the Merger between Company and PFG Acquisition becomes effective (the "MERGER EFFECTIVE DATE"). D. It is also mutually agreed between Principal, Company and PFG Acquisition that Principal shall be employed as an employee of the surviving corporation to the Merger ("SURVIVING CORPORATION") from the Merger Effective Date to December 31, 2003 and thereafter as a consultant until December 31, 2005. Principal and Surviving Corporation have accordingly entered into an Employment and Consulting Agreement dated August 6, 2003 (the "EMPLOYMENT AND CONSULTING AGREEMENT"). E. Principal owns approximately 38% of the outstanding voting securities of the Company, and will receive considerable financial benefit when the Merger becomes effective. F. The Merger Agreement
Hypothesis: Receiving Party shall notify Disclosing Party in case Receiving Party is required by law, regulation or judicial process to disclose any Confidential Information.. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_desc, item_2_net_worth, item_2_desc, MS 47751, item_1_gross_worth, item_2_qty, iban, item_1_net_price, item_1_net_worth, client_tax_id.
This is the Text: ice_no 81296657 invoice_date 09/14/2018 seller Schmidt-Fitzgerald 866 Nicholas Cliff Apt. 842 Robertfurt IN 29490 client Gordon-James 85816 Barnes Prairie Apt. 101 Port Matthew MS 47751 seller_tax_id 986-79-2527 client_tax_id 905-99-8467 iban GB98HXBC09528194943886 item_1_desc Sega V Saturn Victor Console RG-JX1 Gray Tested Working item_1_qty 5 item_1_net_price CHF119.99 item_1_net_worth CHF599.95 item_1_vat 10% item_1_gross_worth CHF659.94 item_2_desc Nintendo NES System Console Choose Your Super Mario Game Bundle New 72 Pin item_2_qty 4 item_2_net_price CHF114.99 item_2_net_worth CHF459.96 item_2_vat 10% item_2_gross_worth CHF505.96 total_net_worth CHF1059.91 total_vat CHF105.99 total_gross_worth CHF1165.90.
### Response: {'Parameters': ['item_1_desc', 'item_2_net_worth', 'item_2_desc', 'item_1_gross_worth', 'item_2_qty', 'iban', 'item_1_net_price', 'item_1_net_worth', 'client_tax_id'], 'Values': ['Sega V Saturn Victor Console RG-JX1 Gray Tested Working', 'CHF459.96', 'Nintendo NES System Console Choose Your Super Mario Game Bundle New 72 Pin', 'CHF659.94', '4', 'GB98HXBC09528194943886', 'CHF119.99', 'CHF599.95', '905-99-8467']} | {'Parameters': ['item_1_desc', 'item_2_net_worth', 'item_2_desc', 'item_1_gross_worth', 'item_2_qty', 'iban', 'item_1_net_price', 'item_1_net_worth', 'client_tax_id'], 'Values': ['Sega V Saturn Victor Console RG-JX1 Gray Tested Working', 'CHF459.96', 'Nintendo NES System Console Choose Your Super Mario Game Bundle New 72 Pin', 'CHF659.94', '4', 'GB98HXBC09528194943886', 'CHF119.99', 'CHF599.95', '905-99-8467']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_desc, item_2_net_worth, item_2_desc, MS 47751, item_1_gross_worth, item_2_qty, iban, item_1_net_price, item_1_net_worth, client_tax_id.
This is the Text: ice_no 81296657 invoice_date 09/14/2018 seller Schmidt-Fitzgerald 866 Nicholas Cliff Apt. 842 Robertfurt IN 29490 client Gordon-James 85816 Barnes Prairie Apt. 101 Port Matthew MS 47751 seller_tax_id 986-79-2527 client_tax_id 905-99-8467 iban GB98HXBC09528194943886 item_1_desc Sega V Saturn Victor Console RG-JX1 Gray Tested Working item_1_qty 5 item_1_net_price CHF119.99 item_1_net_worth CHF599.95 item_1_vat 10% item_1_gross_worth CHF659.94 item_2_desc Nintendo NES System Console Choose Your Super Mario Game Bundle New 72 Pin item_2_qty 4 item_2_net_price CHF114.99 item_2_net_worth CHF459.96 item_2_vat 10% item_2_gross_worth CHF505.96 total_net_worth CHF1059.91 total_vat CHF105.99 total_gross_worth CHF1165.90. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_desc, client, item_4_net_price, item_1_qty, item_3_qty, item_1_desc, ice_no, item_4_gross_worth, item_2_gross_worth, seller_tax_id, item_1_net_worth, total_vat.
This is the Text: ice_no 53065226 invoice_date 12/23/2016 seller West-Anderson 9741 Allen Park Port Samantha KY 70632 client Brown Wilson and Robertson 149 Ronald Loop Knightside MI 19775 seller_tax_id 912-74-8245 client_tax_id 988-75-9876 iban GB77YY5U37412836425325 item_1_desc 24x24 Marble Real White Top Coffee Table lapis Marquetry Floral Christmas Gift item_1_qty 5 item_1_net_price 2500 item_1_net_worth 12 500 item_1_vat 10% item_1_gross_worth 13 750 item_2_desc Real Madrid Inflatable Chair (SG16136) item_2_qty 4 item_2_net_price CHF43.95 item_2_net_worth CHF175.80 item_2_vat 10% item_2_gross_worth CHF193.38 item_3_desc 25x25 White Marble Top Counter Table Carnelian Marquetry Art Columbus Day Gift item_3_qty 4 item_3_net_price 2728 item_3_net_worth 10912 item_3_vat 10% item_3_gross_worth 12 CHF003.20 item_4_desc 12 Marble Coffee Table Top Multi Stone Peacock & Floral Inlay Home Decors W364 item_4_qty 3 item_4_net_price CHF264.27 item_4_net_worth CHF792.81 item_4_vat 10% item_4_gross_worth CHF872.09 item_5_desc 6'x3' Black Marble Dining Center Table Top Marquetry Inlay Outdoor Decor H3420A item_5_qty 5 item_5_net_price 5 CHF756.72 item_5_net_worth 28 CHF783.60 item_5_vat 10% item_5_gross_worth 31 CHF661.96 item_6_desc 1/2/3/4 Seater L Sofa Couch Slipcover Furniture Protector Stretch Sofa Covers item_6_qty 3 item_6_net_price CHF7.99 item_6_net_worth CHF23.97 item_6_vat 10% item_6_gross_worth CHF26.37 total_net_worth 53 CHF188.18 total_vat CHF5318.82 total_gross_worth 58 507.
### Response: {'Parameters': ['item_5_desc', 'client', 'item_4_net_price', 'item_1_qty', 'item_3_qty', 'item_1_desc', 'ice_no', 'item_4_gross_worth', 'item_2_gross_worth', 'seller_tax_id', 'item_1_net_worth', 'total_vat'], 'Values': ["6'x3' Black Marble Dining Center Table Top Marquetry Inlay Outdoor Decor H3420A", 'Brown', 'CHF264.27', '5', '4', '24x24 Marble Real White Top Coffee Table lapis Marquetry Floral Christmas Gift', '53065226', 'CHF872.09', 'CHF193.38', '912-74-8245', '12 500', 'CHF5318.82']} | {'Parameters': ['item_5_desc', 'client', 'item_4_net_price', 'item_1_qty', 'item_3_qty', 'item_1_desc', 'ice_no', 'item_4_gross_worth', 'item_2_gross_worth', 'seller_tax_id', 'item_1_net_worth', 'total_vat'], 'Values': ["6'x3' Black Marble Dining Center Table Top Marquetry Inlay Outdoor Decor H3420A", 'Brown', 'CHF264.27', '5', '4', '24x24 Marble Real White Top Coffee Table lapis Marquetry Floral Christmas Gift', '53065226', 'CHF872.09', 'CHF193.38', '912-74-8245', '12 500', 'CHF5318.82']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_5_desc, client, item_4_net_price, item_1_qty, item_3_qty, item_1_desc, ice_no, item_4_gross_worth, item_2_gross_worth, seller_tax_id, item_1_net_worth, total_vat.
This is the Text: ice_no 53065226 invoice_date 12/23/2016 seller West-Anderson 9741 Allen Park Port Samantha KY 70632 client Brown Wilson and Robertson 149 Ronald Loop Knightside MI 19775 seller_tax_id 912-74-8245 client_tax_id 988-75-9876 iban GB77YY5U37412836425325 item_1_desc 24x24 Marble Real White Top Coffee Table lapis Marquetry Floral Christmas Gift item_1_qty 5 item_1_net_price 2500 item_1_net_worth 12 500 item_1_vat 10% item_1_gross_worth 13 750 item_2_desc Real Madrid Inflatable Chair (SG16136) item_2_qty 4 item_2_net_price CHF43.95 item_2_net_worth CHF175.80 item_2_vat 10% item_2_gross_worth CHF193.38 item_3_desc 25x25 White Marble Top Counter Table Carnelian Marquetry Art Columbus Day Gift item_3_qty 4 item_3_net_price 2728 item_3_net_worth 10912 item_3_vat 10% item_3_gross_worth 12 CHF003.20 item_4_desc 12 Marble Coffee Table Top Multi Stone Peacock & Floral Inlay Home Decors W364 item_4_qty 3 item_4_net_price CHF264.27 item_4_net_worth CHF792.81 item_4_vat 10% item_4_gross_worth CHF872.09 item_5_desc 6'x3' Black Marble Dining Center Table Top Marquetry Inlay Outdoor Decor H3420A item_5_qty 5 item_5_net_price 5 CHF756.72 item_5_net_worth 28 CHF783.60 item_5_vat 10% item_5_gross_worth 31 CHF661.96 item_6_desc 1/2/3/4 Seater L Sofa Couch Slipcover Furniture Protector Stretch Sofa Covers item_6_qty 3 item_6_net_price CHF7.99 item_6_net_worth CHF23.97 item_6_vat 10% item_6_gross_worth CHF26.37 total_net_worth 53 CHF188.18 total_vat CHF5318.82 total_gross_worth 58 507. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_gross_worth, client_tax_id, seller_tax_id, total_net_worth, item_2_net_price, item_3_qty, iban.
This is the Text: ice_no 99053443 invoice_date 06/04/2019 seller Chavez Morton and Gonzales PSC 9799 Box 3101 APO AA 71589 client Walters Cantu and Duran 9356 Burnett Rest Apt. 035 Port Kennethmouth NE 89318 seller_tax_id 935-78-4545 client_tax_id 911-94-2974 iban GB78Q5ZR27259773261475 item_1_desc One Year through the Bible by David R. Veerman item_1_qty 5 item_1_net_price €4.49 item_1_net_worth €22.45 item_1_vat 10% item_1_gross_worth €24.70 item_2_desc A History of the Indians of the United States (The item_2_qty 1 item_2_net_price €4.49 item_2_net_worth €4.49 item_2_vat 10% item_2_gross_worth €4.94 item_3_desc Game of Thrones The Poster Collection (Paperback or Softback) item_3_qty 5 item_3_net_price €20.87 item_3_net_worth €104.35 item_3_vat 10% item_3_gross_worth €114.79 item_4_desc In the Footsteps of the Russian Snowman (Paperback or Softback) item_4_qty 3 item_4_net_price €25.87 item_4_net_worth €77.61 item_4_vat 10% item_4_gross_worth €85.37 total_net_worth €208.90 total_vat €20.89 total_gross_worth €229.79.
### Response: {'Parameters': ['item_3_gross_worth', 'client_tax_id', 'seller_tax_id', 'total_net_worth', 'item_2_net_price', 'item_3_qty', 'iban'], 'Values': ['€114.79', '911-94-2974', '935-78-4545', '€208.90', '€4.49', '5', 'GB78Q5ZR27259773261475']} | {'Parameters': ['item_3_gross_worth', 'client_tax_id', 'seller_tax_id', 'total_net_worth', 'item_2_net_price', 'item_3_qty', 'iban'], 'Values': ['€114.79', '911-94-2974', '935-78-4545', '€208.90', '€4.49', '5', 'GB78Q5ZR27259773261475']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_3_gross_worth, client_tax_id, seller_tax_id, total_net_worth, item_2_net_price, item_3_qty, iban.
This is the Text: ice_no 99053443 invoice_date 06/04/2019 seller Chavez Morton and Gonzales PSC 9799 Box 3101 APO AA 71589 client Walters Cantu and Duran 9356 Burnett Rest Apt. 035 Port Kennethmouth NE 89318 seller_tax_id 935-78-4545 client_tax_id 911-94-2974 iban GB78Q5ZR27259773261475 item_1_desc One Year through the Bible by David R. Veerman item_1_qty 5 item_1_net_price €4.49 item_1_net_worth €22.45 item_1_vat 10% item_1_gross_worth €24.70 item_2_desc A History of the Indians of the United States (The item_2_qty 1 item_2_net_price €4.49 item_2_net_worth €4.49 item_2_vat 10% item_2_gross_worth €4.94 item_3_desc Game of Thrones The Poster Collection (Paperback or Softback) item_3_qty 5 item_3_net_price €20.87 item_3_net_worth €104.35 item_3_vat 10% item_3_gross_worth €114.79 item_4_desc In the Footsteps of the Russian Snowman (Paperback or Softback) item_4_qty 3 item_4_net_price €25.87 item_4_net_worth €77.61 item_4_vat 10% item_4_gross_worth €85.37 total_net_worth €208.90 total_vat €20.89 total_gross_worth €229.79. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_net_worth, item_3_net_worth, seller_tax_id, item_2_qty, item_4_net_price, item_2_gross_worth, item_3_net_price, item_4_desc, client.
This is the Text: ice_no 89098949 invoice_date 11/18/2018 seller Mason-Cross 0258 Katie Terrace Lake Joseph DC 99273 client Short-Gonzalez 378 Elijah Divide North Sharon NM 63947 seller_tax_id 916-96-8787 client_tax_id 956-72-7845 iban GB21BNCC20926036398760 item_1_desc Yilong 5'x8' Handknotted Silk Area Rug Living Room Black Classic Carpet L38B item_1_qty 3 item_1_net_price 8000 item_1_net_worth 24 000 item_1_vat 10% item_1_gross_worth 26 400 item_2_desc New Golden Brown Oriental Rug 4X6 Oushak Chobi Floral Hand-Knotted Foyer Carpet item_2_qty 1 item_2_net_price $232.65 item_2_net_worth $232.65 item_2_vat 10% item_2_gross_worth $255.92 item_3_desc Soft Simple Mats For Living Room Bedroom Kid Room Rugs Carpets For Living Room item_3_qty 2 item_3_net_price $35.68 item_3_net_worth $71.36 item_3_vat 10% item_3_gross_worth $78.50 item_4_desc 3D Bottomless Hole Optical Illusion Area Rug Carpet Sofa Door Mats Non-slip Home item_4_qty 2 item_4_net_price $13.76 item_4_net_worth $27.52 item_4_vat 10% item_4_gross_worth $30.27 total_net_worth $24331.53 total_vat $2433.15 total_gross_worth 26 $764.68.
### Response: {'Parameters': ['total_net_worth', 'item_3_net_worth', 'seller_tax_id', 'item_2_qty', 'item_4_net_price', 'item_2_gross_worth', 'item_3_net_price', 'item_4_desc', 'client'], 'Values': ['$24331.53', '$71.36', '916-96-8787', '1', '$13.76', '$255.92', '$35.68', '3D Bottomless Hole Optical Illusion Area Rug Carpet Sofa Door Mats Non-slip Home', 'Short-Gonzalez 378 Elijah Divide North Sharon']} | {'Parameters': ['total_net_worth', 'item_3_net_worth', 'seller_tax_id', 'item_2_qty', 'item_4_net_price', 'item_2_gross_worth', 'item_3_net_price', 'item_4_desc', 'client'], 'Values': ['$24331.53', '$71.36', '916-96-8787', '1', '$13.76', '$255.92', '$35.68', '3D Bottomless Hole Optical Illusion Area Rug Carpet Sofa Door Mats Non-slip Home', 'Short-Gonzalez 378 Elijah Divide North Sharon']} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: total_net_worth, item_3_net_worth, seller_tax_id, item_2_qty, item_4_net_price, item_2_gross_worth, item_3_net_price, item_4_desc, client.
This is the Text: ice_no 89098949 invoice_date 11/18/2018 seller Mason-Cross 0258 Katie Terrace Lake Joseph DC 99273 client Short-Gonzalez 378 Elijah Divide North Sharon NM 63947 seller_tax_id 916-96-8787 client_tax_id 956-72-7845 iban GB21BNCC20926036398760 item_1_desc Yilong 5'x8' Handknotted Silk Area Rug Living Room Black Classic Carpet L38B item_1_qty 3 item_1_net_price 8000 item_1_net_worth 24 000 item_1_vat 10% item_1_gross_worth 26 400 item_2_desc New Golden Brown Oriental Rug 4X6 Oushak Chobi Floral Hand-Knotted Foyer Carpet item_2_qty 1 item_2_net_price $232.65 item_2_net_worth $232.65 item_2_vat 10% item_2_gross_worth $255.92 item_3_desc Soft Simple Mats For Living Room Bedroom Kid Room Rugs Carpets For Living Room item_3_qty 2 item_3_net_price $35.68 item_3_net_worth $71.36 item_3_vat 10% item_3_gross_worth $78.50 item_4_desc 3D Bottomless Hole Optical Illusion Area Rug Carpet Sofa Door Mats Non-slip Home item_4_qty 2 item_4_net_price $13.76 item_4_net_worth $27.52 item_4_vat 10% item_4_gross_worth $30.27 total_net_worth $24331.53 total_vat $2433.15 total_gross_worth 26 $764.68. |
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: US Natural Gas Marketing Originations Teams, West Gas Origination Desk Head, Central Gas Origination Desk Head, East Gas Origination Desk Head, Siebel Sales Enterprise, New York Energy Risk Management Seminar, EGM new hires, EIM new hires, ENA new hires.
This is the Text: BUSINESS HIGHLIGHTS
US Natural Gas Teams
The US Natural Gas Marketing Originations Teams have had a successful 1Q
2001. In addition to Mid Market Activity led by Fred Lagrasta, new
Origination Desk Heads and Marketing Teams have been set up across the US and
are led by the following: West Gas Origination - Barry Tycholiz, Central Gas
Origination - Laura Luce, East Gas Origination - Frank Vickers. These teams
have made significant inroads in 2001, focusing on Customer Coverage, New
Accounts, Transportation Syndication, Risk Management Products and Market
Intelligence. All of these individuals are open to any questions regarding
the new businesses.
Siebel Summary
EIM's ability to rapidly transform its designated forest products and steel
markets is dependent upon its ability to effectively manage the market
participants and accelerate their adoption of EIM's business strategy. To
achieve this objective, EIM will implement Siebel Sales Enterprise, a
customer-focused centralized database that effectively leverages all
information learned about our customers and enables sharing of this
information throughout the front, mid and back offices. Siebel is designed
to help in-house and mobile sales professionals in large organizations manage
accounts, contacts, activities and opportunities associated with the sales
cycle. EIM Fundamentals is leading the Siebel implementation effort.
IN THE NEWS
Enron is hosting the New York Energy Risk Management Seminar at the St. Regis
Hotel in New York City on April 5, 2001. Topics include: Power Outlook,
Natural Gas Outlook, and Weather Risk Management. To RSVP, contact Laura Pena
at x 3-5376.
WELCOME
New Hires
EGM - Sherman Franzen, Fariba Karimi, Ryan Krogmeier, Lawrence Marcus
EIM - Ronald Barnes, Paul Hanks, Chad Ihrig, Stella Pedroza, Linda Silva
ENA - Hagar Kedem, Steven Merriss, Courdney Williams, Diane Fellers
Transfers
ENA ) Tammie Schoppe, Lynna Kacal, Johnna Kokenge, Karen Jones, Stuart
Zisman, Anne Labbe
EGM ) Justin Cornett, George Thomas, Richard Yeboah, Phi Khanh Wolfe, Alan
Harvey, Philip Berry, Ethan Schultz, Sanjeev Khanna, Mingcheng Lian
NUGGETS & NOTES
"We have to move paper, make money AND move the industry." -- Rodney
Malcolm, Vice President/Forest Products EIM
Congratulations to Angela and Chris Connelly, manager in Coal Trading. They
are the proud parents of Nicholas Connelly, born on March 17 and weighed
7lbs.11oz. (Rumor has it that at 48 hours of age, he had more hair than his
father!)
Congratulations to Carmen and Glenn Wright, director in Steel Origination who
welcomed little Lauren Nicole born March 12. She weighed in at 7lbs.13oz.and
debuted with a full head of hair and "making lots of noise."
LEGAL STUFF
The information contained in this newsletter is confidential and proprietary
to Enron Corp. and its subsidiaries. It is intended for internal use only
and should not be disclosed..
### Response: {"Parameters": ["US Natural Gas Marketing Originations Teams", "West Gas Origination Desk Head", "Central Gas Origination Desk Head", "East Gas Origination Desk Head", "Siebel Sales Enterprise", "New York Energy Risk Management Seminar", "EGM new hires", "EIM new hires", "ENA new hires"], "Values": ["Successful 1Q 2001", "Barry Tycholiz", "Laura Luce", "Frank Vickers", "customer-focused centralized database", "April 5, 2001 at the St. Regis Hotel in New York City", "Sherman Franzen, Fariba Karimi, Ryan Krogmeier, Lawrence Marcus", "Ronald Barnes, Paul Hanks, Chad Ihrig, Stella Pedroza, Linda Silva", "Hagar Kedem, Steven Merriss, Courdney Williams, Diane Fellers"]} | {"Parameters": ["US Natural Gas Marketing Originations Teams", "West Gas Origination Desk Head", "Central Gas Origination Desk Head", "East Gas Origination Desk Head", "Siebel Sales Enterprise", "New York Energy Risk Management Seminar", "EGM new hires", "EIM new hires", "ENA new hires"], "Values": ["Successful 1Q 2001", "Barry Tycholiz", "Laura Luce", "Frank Vickers", "customer-focused centralized database", "April 5, 2001 at the St. Regis Hotel in New York City", "Sherman Franzen, Fariba Karimi, Ryan Krogmeier, Lawrence Marcus", "Ronald Barnes, Paul Hanks, Chad Ihrig, Stella Pedroza, Linda Silva", "Hagar Kedem, Steven Merriss, Courdney Williams, Diane Fellers"]} | ### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: US Natural Gas Marketing Originations Teams, West Gas Origination Desk Head, Central Gas Origination Desk Head, East Gas Origination Desk Head, Siebel Sales Enterprise, New York Energy Risk Management Seminar, EGM new hires, EIM new hires, ENA new hires.
This is the Text: BUSINESS HIGHLIGHTS
US Natural Gas Teams
The US Natural Gas Marketing Originations Teams have had a successful 1Q
2001. In addition to Mid Market Activity led by Fred Lagrasta, new
Origination Desk Heads and Marketing Teams have been set up across the US and
are led by the following: West Gas Origination - Barry Tycholiz, Central Gas
Origination - Laura Luce, East Gas Origination - Frank Vickers. These teams
have made significant inroads in 2001, focusing on Customer Coverage, New
Accounts, Transportation Syndication, Risk Management Products and Market
Intelligence. All of these individuals are open to any questions regarding
the new businesses.
Siebel Summary
EIM's ability to rapidly transform its designated forest products and steel
markets is dependent upon its ability to effectively manage the market
participants and accelerate their adoption of EIM's business strategy. To
achieve this objective, EIM will implement Siebel Sales Enterprise, a
customer-focused centralized database that effectively leverages all
information learned about our customers and enables sharing of this
information throughout the front, mid and back offices. Siebel is designed
to help in-house and mobile sales professionals in large organizations manage
accounts, contacts, activities and opportunities associated with the sales
cycle. EIM Fundamentals is leading the Siebel implementation effort.
IN THE NEWS
Enron is hosting the New York Energy Risk Management Seminar at the St. Regis
Hotel in New York City on April 5, 2001. Topics include: Power Outlook,
Natural Gas Outlook, and Weather Risk Management. To RSVP, contact Laura Pena
at x 3-5376.
WELCOME
New Hires
EGM - Sherman Franzen, Fariba Karimi, Ryan Krogmeier, Lawrence Marcus
EIM - Ronald Barnes, Paul Hanks, Chad Ihrig, Stella Pedroza, Linda Silva
ENA - Hagar Kedem, Steven Merriss, Courdney Williams, Diane Fellers
Transfers
ENA ) Tammie Schoppe, Lynna Kacal, Johnna Kokenge, Karen Jones, Stuart
Zisman, Anne Labbe
EGM ) Justin Cornett, George Thomas, Richard Yeboah, Phi Khanh Wolfe, Alan
Harvey, Philip Berry, Ethan Schultz, Sanjeev Khanna, Mingcheng Lian
NUGGETS & NOTES
"We have to move paper, make money AND move the industry." -- Rodney
Malcolm, Vice President/Forest Products EIM
Congratulations to Angela and Chris Connelly, manager in Coal Trading. They
are the proud parents of Nicholas Connelly, born on March 17 and weighed
7lbs.11oz. (Rumor has it that at 48 hours of age, he had more hair than his
father!)
Congratulations to Carmen and Glenn Wright, director in Steel Origination who
welcomed little Lauren Nicole born March 12. She weighed in at 7lbs.13oz.and
debuted with a full head of hair and "making lots of noise."
LEGAL STUFF
The information contained in this newsletter is confidential and proprietary
to Enron Corp. and its subsidiaries. It is intended for internal use only
and should not be disclosed.. |