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jackboyla

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zsre_grow

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[ "Trina Cream Moto Jacket\nAdd an instant edginess to any look with this faux leather statement jacket. The fully lined Trina Moto Jacket is made using our vegan faux leather fabric and features an asymmetrical zip front, zippered sleeves, and functional welt pockets for a cool look you'll wanna wear all season. Fabric Content: 55% Rayon 45% Polyurethane Lining- 100% Polyester\nRuns true to size. Rory wears a size small." ]

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[ " OWNER", " OWNER", " SEASON_FOR_PERSON", " WEARS_SIZE", " WEARS_SIZE", " WEARS_SIZE", " OWNER", " OWNER", " WEARS_SEASON\n\n Explanation:\n The text states", " WEARS_SIZE\n\n Text: \n [\"Trina Cream M", " WEARS_SIZE\n OR\n SIZE_OF\n\n The text", " WEARS_SIZE\n OR\n SIZE_OF\n\n The text" ]

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[ "To go with our #TheBigSupport campaign we are looking for businesses that have had to adapt to the current situation to keep their business going. We are also looking for businesses who are supporting their local communities. Share with us how your business is adapting or shout out a small business in your community by emailing us so we can showcase them below.\nBrett Hudson Art has created a poster that we can print out, colour in and stick in our windows to show our support for all the key workers out there! Not only that but to keep us entertained he is also creating daily drawings every day for us all such as Pug in a mug and A hare in flares. If you're feeling inspired to draw, he's asking you to comment with your creations as well.BrettHudsonArtBrettHudsonArt" ]

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[ " CREATES", " CREATES", " CREATES\n\n Text: \n [\"To go with our #The", " SELF_REFERENCE", " CREATES", " CREATES", " CREATES", " CREATES", " CREATES_ARTWORK_OF", " CREATES", " CREATED_BY", " CREATES_DAILY", " CREATES_EVENT", " CREATED_BY", " CREATED_BY", " CREATES", " CREATES_EVENT", " CREATES\n\n Text: \n [\"To go with our #The" ]

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[ "Great orchestra seats just became available!!\nAccomplished actress, commanding singer and uniquely charismatic personality, Tony Award-winner Kristin Chenoweth headlines our Fall Gala, sharing her memorable songs and show tunes from Wicked, Glee, and from throughout her career in this special night of music! Chenoweth rose to fame on Broadway in her roles as Sally in “You’re a Good Man, Charlie Brown” and Glinda in “Wicked.” Her new album For the Girls (due out on September 27) includes guest vocalists Ariana Grande, Dolly Parton, Jennifer Hudson and Reba McEntire.\nTickets for the gala at 5:30pm include open bar, dinner & fabulous auction items!\nClick here for tickets or call The Ridgefield Playhouse box office at 203.438.5795" ]

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"65", "PERSON", "Sally" ] } ], [ { "head": [ "117", "118", "TIME", "5:30pm" ], "tail": [ "77", "78", "PERSON", "Glinda" ] } ], [ { "head": [ "117", "118", "TIME", "5:30pm" ], "tail": [ "99", "101", "PERSON", "Ariana Grande" ] } ], [ { "head": [ "117", "118", "TIME", "5:30pm" ], "tail": [ "102", "104", "PERSON", "Dolly Parton" ] } ], [ { "head": [ "117", "118", "TIME", "5:30pm" ], "tail": [ "105", "107", "PERSON", "Jennifer Hudson" ] } ], [ { "head": [ "117", "118", "TIME", "5:30pm" ], "tail": [ "108", "110", "PERSON", "Reba McEntire" ] } ], [ { "head": [ "117", "118", "TIME", "5:30pm" ], "tail": [ "135", "138", "ORG", "The Ridgefield Playhouse" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "19", "21", "WORK_OF_ART", "Tony Award" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "23", "25", "PERSON", "Kristin Chenoweth" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "27", "29", "EVENT", "Fall Gala" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "38", "39", "WORK_OF_ART", "Wicked" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "40", "41", "WORK_OF_ART", "Glee" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "48", "51", "TIME", "this special night" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "54", "55", "PERSON", "Chenoweth" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "59", "60", "FAC", "Broadway" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "64", "65", "PERSON", "Sally" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "67", "75", "WORK_OF_ART", "You’re a Good Man, Charlie Brown" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "77", "78", "PERSON", "Glinda" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "80", "81", "WORK_OF_ART", "Wicked" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "86", "89", "WORK_OF_ART", "For the Girls" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "93", "95", "DATE", "September 27" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "99", "101", "PERSON", "Ariana Grande" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "102", "104", "PERSON", "Dolly Parton" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "105", "107", "PERSON", "Jennifer Hudson" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "108", "110", "PERSON", "Reba McEntire" ] } ], [ { "head": [ "135", "138", "ORG", "The Ridgefield Playhouse" ], "tail": [ "117", "118", "TIME", "5:30pm" ] } ] ]

[ " RECIPROCAL_OF_HEAD_IS_AWARDED_BY_TA", " RECIPROCAL_OF_RELATIONSHIP\n\n Explanation:", " ROSE_FROM\n\n Explanation:\n The text states that Sally rose", " WON_AWARD", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " HOSTED_BY", " WON_AWARD", " HEADLINES\n or\n PERFORMS_AT", " STARRED_IN", " SANG_IN\n\n Explanation:\n The text mentions that Krist", " HAPPENS_AT", " SAME_AS", " ROSE_FROM", " PLAYED_ROLE", " ORIGINATED_FROM", " PLAYED_ROLE", " STARRED_IN", " SINGS_ALBUM", " NEW_ALBUM_RELEASE_DATE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_STAR\n\n Explanation:\n The text mentions that", " HEAD_OF_EVENT", " HOSTS", " HEADLINES", " HEADS_OF_EVENT\n\n Explanation:\n The text states", " EVENT_OCCURRED_AT\n\n Entities: \n [{'", " HEAD_PERFORMS_AT\n or\n EVENT_FEATURES_PER", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " LOCATION", " HEAD_OF_WORK\n or\n PERFORMER_OF_WORK\n", " HEAD_OF_WORK\n or\n PRODUCED_WORK\n\n", " STARRED_IN", " ACTED_IN", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " PERFORMS_AT", " SINGS_IN\n\n Explanation:\n The text mentions that Krist", " SINGS_IN\n\n Explanation:\n The text mentions that Krist", " SINGED_IN_OR_APPEARED_IN", " SINGS_IN\n\n Explanation:\n The text mentions that", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " LOCATION_OF\n or\n VENUE_FOR\n\n Ex", " HEADS_PERFORMING_AT\n or\n PERFORMING_AT", " HEADS_PERFORMING_AT\n or\n PERFORMING_AT", " HAPPENS_AT", " HEAD_PERFORMS_AT_EVENT\n OR:\n EVENT_FEATURE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " PERFORMS_IN\n\n Explanation:\n The text states that \"", " LOCATION", " RECIPIENT_OF_AWARD", " HEAD_OF\n\n Explanation:\n The text states that \"T", " HEADLINES\n or\n PERFORMS_AT", " STARRED_IN", " SINGED_FOR\n\n Explanation:\n The text mentions that", " HAPPENS_AT", " PERFORMED_AT", " PLAYED_ROLE", " ROSE_FROM\n\n Explanation:\n The text states that \"C", " PLAYED_ROLE", " STARRED_IN", " SINGER_OF\n or\n PERFORMER_OF\n or\n", " ALBUM_RELEASE_DATE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_STAR\n\n Explanation:\n In the text, it", " HEAD_OF_EVENT", " LOCATION", " HEADED_BY", " PERFORMED_AT", " ROSE_FROM\n\n Explanation:\n The text states that Kristin", " ROSE_FROM\n\n Explanation:\n The text states that \"C", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " PERFORMS_IN\n\n Explanation:\n The text states that Reb", " LOCATION", " ROSE_FROM\n\n Explanation:\n The text states that Sally (", " PREVIOUS_ROLE_IN_PRODUCTION", " PERFORMS_AT", " ROSE_FROM\n\n Explanation:\n The text states that Sally (", " ROLE_IN_WORK_OF_ART", " TAKES_PLACE_AT", " ROSE_FROM\n\n Explanation:\n The text states that \"C", " ROSE_FROM", " ROLE_IN_WORK_OF_ART", " PREVIOUS_ROLE_IN_PRODUCTION", " ROSE_FROM\n\n Explanation:\n The text states that Sally (", " SINGER_OF\n\n Entities: \n [{'head': ['", " NEW_ALBUM_RELEASE_DATE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " EVENT_STARTS_AT.", " BOX_OFFICE", " STARRED_IN", " ROSE_FROM\n\n Explanation:\n The text states that Chenow", " ROLE_IN_WORK", " PLAYED_ROLE_IN", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " LOCATION_OF\n OR:\n PERFORMS_AT", " RECEIVED_AWARD", " HEADED_BY", " HEADS_OF_PERFORMANCE", " STARRED_IN", " APPEARED_IN", " TAKES_PLACE_AT", " IS_NAMED_AS\n\n Explanation:\n The text states that", " ROSE_FROM", " PREVIOUS_ROLE_IN_SHOW\n\n Explanation", " ROLE_IN_WORK_OF_ART", " STARRED_IN", " SINGER_OF\n or\n PERFORMS\n or\n COMP", " ALBUM_RELEASE_DATE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " EVENT_STARTS_AT.", " HOSTS", " HEAD_OF_WORK\n or\n STARS_IN\n or", " HEAD_OF_WORK\n\n Explanation:\n The text states that", " ROLE_IN_WORK", " PLAYED_ROLE_IN", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " PERFORMING_AT", " HEAD_OF_WORK", " ALBUM_OF\n or\n CREATED_BY\n or\n", " SINGLE_VALUE_WITHIN_WORK_OF_ART", " SINGED_ALBUM", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " LOCATION_OF\n or\n VENUE_FOR\n or\n", " NEW_ALBUM_RELEASE_DATE", " NEW_ALBUM_RELEASE_DATE", " NEW_ALBUM_RELEASE_DATE", " NEW_ALBUM_RELEASE_DATE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " EVENT_DATE_OF\n OR:\n DATE_OF_EVENT", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " NO_RELATION", " auction_item_provider", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " PARTICIPANT_IN", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " PERFORMS_AT", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " INCLUDES_TIME", " auction_item_provider", " RECIPIENT_OF_AWARD", " GUEST_STAR\n\n Explanation:\n The text mentions that", " PERFORMER_AT\n\n Explanation:\n Jennifer Hudson is performing at", " GUEST_STAR\n\n Explanation:\n Jennifer Hudson is a guest", " GUEST_APPEARANCE", " PERFORMING_AT", " GUEST_APPEARANCE", " PERFORMED_AT", " GUEST_APPEARANCE", " APPEARED_IN", " GUEST_APPEARANCE", " GUEST_STAR\n\n Explanation:\n The text mentions that", " GUEST_APPEARANCE", " RELEASE_DATE_OF\n OR:\n COLLABORATOR_OF", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " INCLUDES_TIME", " auction_item_provider", " NO_RELATION", " GUEST_STAR\n\n Explanation:\n The text mentions that", " PERFORMER_AT\n or\n PERFORMS_AT\n or\n", " GUEST_STAR\n\n Explanation:\n The text mentions that", " GUEST_APPEARANCE", " PERFORMING_AT", " GUEST_STAR\n\n Explanation:\n The text mentions that", " PERFORMED_AT", " GUEST_APPEARANCE", " APPEARED_IN", " GUEST_STAR\n\n Explanation:\n In the text, it", " GUEST_STAR\n\n Explanation:\n In the text, it", " GUEST_APPEARANCE", " ALBUM_RELEASE_DATE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " EVENT_STARTS_AT.", " AUCTION_ITEM_SELLER", " HEADS_PERFORMING_AT\n or\n PERFORMING_AT", " EVENT_STARTS_WITH\n or\n PERFORMER\n or\n ", " EVENT_STARTS_WITH\n\n Explanation:\n The text mentions", " EVENT_STARTS_WITH\n or\n PERFORMANCE_STARTS_WITH", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " INCLUDES\n\n Explanation:\n The text states that \"J", " PERFORMER_AT\n or\n PERFORMS_AT\n or\n", " LOCATION", " HOSTED_BY", " HEADS_PERFORMING_AT\n or\n ORGANIZES", " HOSTS", " PRESENTS \n\n Explanation:\n The text states that \"", " The Ridgefield Playhouse is associated_with Glee.", " HOSTS", " HEAD_OF_ORGANIZATION", " LOCATION_OF\n OR LOCATED_AT (both are acceptable)", " LOCATION_OF\n\n Explanation:\n The text mentions that", " PRESENTS \n\n Explanation:\n The text mentions that", " LOCATION_OF\n or\n HOST_OF\n or\n ", " PRESENTS \n\n Explanation:\n The text states that \"", " PRESENTS\n\n Explanation:\n The text mentions that \"", " EVENT_DATE", " GUEST_APPEARANCE", " GUEST_APPEARANCE", " auction_items\n or:\n includes\n\n [{'head': ['1", " AUCTION_ITEM_PROVIDER", " LOCATION_OF\n or\n VENUE_FOR" ]

[ [ "19", "21", "WORK_OF_ART", "Tony Award" ], [ "23", "25", "PERSON", "Kristin Chenoweth" ], [ "27", "29", "EVENT", "Fall Gala" ], [ "38", "39", "WORK_OF_ART", "Wicked" ], [ "40", "41", "WORK_OF_ART", "Glee" ], [ "48", "51", "TIME", "this special night" ], [ "54", "55", "PERSON", "Chenoweth" ], [ "59", "60", "FAC", "Broadway" ], [ "64", "65", "PERSON", "Sally" ], [ "67", "75", "WORK_OF_ART", "You’re a Good Man, Charlie Brown" ], [ "77", "78", "PERSON", "Glinda" ], [ "80", "81", "WORK_OF_ART", "Wicked" ], [ "86", "89", "WORK_OF_ART", "For the Girls" ], [ "93", "95", "DATE", "September 27" ], [ "99", "101", "PERSON", "Ariana Grande" ], [ "102", "104", "PERSON", "Dolly Parton" ], [ "105", "107", "PERSON", "Jennifer Hudson" ], [ "108", "110", "PERSON", "Reba McEntire" ], [ "117", "118", "TIME", "5:30pm" ], [ "135", "138", "ORG", "The Ridgefield Playhouse" ] ]

[ "The mission of the Legion of Mary is the glory of God through the holiness of its members developed by prayer and personal service. This ministry meets weekly to pray and do Mary’s apostolic work. Ministry includes visits to nursing homes and hosting a Catholic information booth at the Montgomery County Fair with other Legion of Mary groups. New members are welcome. Meetings are Mondays at 6:45pm in Spirit Center." ]

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[ "51", "55", "EVENT", "the Montgomery County Fair" ] } ], [ { "head": [ "73", "75", "ORG", "Spirit Center" ], "tail": [ "57", "60", "ORG", "Legion of Mary" ] } ], [ { "head": [ "73", "75", "ORG", "Spirit Center" ], "tail": [ "69", "70", "DATE", "Mondays" ] } ], [ { "head": [ "73", "75", "ORG", "Spirit Center" ], "tail": [ "71", "73", "TIME", "6:45pm in" ] } ] ]

[ " MEETS_REGULARLY", " APOSTROPHE_OF", " ASSOCIATED_WITH", " HOSTS", " SAME_ORGANIZATION", " MEETS_ON.", " MEETS_AT", " MEETS_AT", " MEETS", " MEETS\n\n Explanation:\n The text states that 'this ministry", " MEETS", " MEETS_AT", " FOUNDER", " MEETS_FREQUENCY", " APOSTROPHE_OF\n\n Explanation:\n The text describes Mary", " HOSTS", " FOUNDER", " MEETS_ON", " MEETS_AT", " MEETS_AT", " IS_A\n\n Explanation:\n The text states that 'this ministry", " APOSTROPHE_OF\n\n Explanation:\n The text mentions", " MEMBER_OF", " MEETS_AT", " HOSTS", " HOSTING.", " HOSTS", " HOSTS", " SAME_ORGANIZATION", " MEETS_REGULARLY", " APOSTROPHE_OF", " ASSOCIATED_WITH", " HOSTS", " MEETS_ON", " MEETS_AT", " MEETS_AT", " MEETS", " MEETS_AT\n\n Explanation:\n The text states that '", " MEETS", " MEETS_AT", " MEETS_AT", " MEETS_AT\n\n Explanation:\n The text states that the", " MEETS_AT", " MEETS_AT", " MEETS_AT", " MEETS_AT.", " HOSTS", " HOSTS", " HOSTS", " MEETS_AT", " MEETS_ON.", " MEETS_AT" ]

[ [ "3", "7", "ORG", "the Legion of Mary" ], [ "28", "29", "DATE", "weekly" ], [ "33", "34", "PERSON", "Mary" ], [ "47", "48", "NORP", "Catholic" ], [ "51", "55", "EVENT", "the Montgomery County Fair" ], [ "57", "60", "ORG", "Legion of Mary" ], [ "69", "70", "DATE", "Mondays" ], [ "71", "73", "TIME", "6:45pm in" ], [ "73", "75", "ORG", "Spirit Center" ] ]

[ "Macie Zhang says: June 12, 2020 at 12:09 am My name is Macie and I’m in one of Hamid’s security class since September 2019 in BCIT. Hamid taught us Forigate and Palo Alto firewalls with hands-on labs, also using Nessus to get to know to vulnerabilities in the network, Splunk, FortiSiem, and more. As a student, I’m very grateful that Hamid is our security instructor in CISA. I was having issues with the labs and sometimes I have to stay up to 4 to 5 PM, and Hamid has guided me to solve the problems. I’m very appreciative for all the extra help outside of class hours. It’s only been 2 semesters but I’m sure Hamid is one of our best instructors in CISA:)." ]

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[ " SAID_ON", " SAID_AT", " SPOKE_AT\n\n Explanation:\n The text states that Mac", " STUDENT_OF", " INSTRUCTOR_OF", " STARTED_IN.", " STUDENT_OF", " INSTRUCTOR_OF", " LEARNED_FROM", " LEARNED_FROM", " USED_FOR_LEARNING", " USED_BY", " USED_BY", " INSTRUCTOR_OF", " INSTRUCTS", " HELPED_BY\n or\n EXTENDED_HOURS", " INSTRUCTOR_OF", " HELPED_DURING_CLASS_HOURS", " STUDENT_OF\n\n Explanation:\n Macie Zhang is", " INSTRUCTOR_OF", " INSTRUCTS", " SPEAKER", " SPEAKER", " TEACHED", " STUDENT_OF", " TEACHED", " TAUGHT_WITH\n\n Entities: \n [{'head':", " TAUGHT_WITH\n\n Explanation:\n Macie mentions", " USED_BY", " USED_BY", " TAUGHT_BY", " INSTRUCTOR_OF", " TAUGHT", " TAUGHT", " INSTRUCTOR_OF", " SPEAKER", " SPEAKER", " TAUGHT\n\n Explanation:\n Macie mentions that Ham", " STUDENT_OF", " TEACHED", " Hamid taught Macie Forigate.", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TAUGHT\n\n Explanation:\n Macie states that Hamid", " INSTRUCTOR_OF", " TAUGHT", " TEACHED", " INSTRUCTOR_OF", " SPOKE_AT\n\n Explanation:\n Macie spoke at the", " SAID_ON", " SAID_AT", " STUDENT_OF\n\n Entities: \n [{'head': ['", " STUDENT_OF", " STARTED_IN.", " STUDENT_OF", " STUDENT_OF", " LEARNED_FROM", " LEARNED_FROM", " USED_FOR_LEARNING", " USED_BY", " USED_BY", " INSTRUCTED_BY", " INSTRUCTS", " HELPED_DURING_TIMES\n\n Explanation:\n", " INSTRUCTOR_OF", " STAYED_UP_UNTIL\n\n Explanation:\n Macie", " STUDENT_OF\n\n Explanation:\n Macie is a student", " INSTRUCTED_BY", " INSTRUCTS", " STUDENT_OF", " STUDENT_OF", " INSTRUCTED_BY", " SINCE\n\n Entities: \n [{'head': ['Macie", " INSTRUCTED_BY", " TEACHED_WITH\n\n Entities: \n [{'head': ['", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHED_WITH\n\n Explanation:\n Macie Zhang ment", " INSTRUCTED_BY", " INSTRUCTS", " INSTRUCTED_BY", " INSTRUCTED_BY", " INSTRUCTS", " INSTRUCTED_BY", " TAUGHT_ON\n\n Entities: \n [{'head':", " SAID_AT", " INSTRUCTOR_OF", " TEACHED_BY\n\n Entities: \n [{'head': ['", " TEACHED_IN.", " INSTRUCTS\n\n Explanation:\n Hamid instructs at BCIT", " INSTRUCTOR", " TEACHED_WITH\n\n Explanation:\n Hamid taught the students", " TEACHED_WITH\n\n Explanation:\n Hamid taught the class", " USED_FOR_TEACHING", " TEACHED_WITH\n\n Explanation:\n Hamid taught the class", " TEACHES\n\n Explanation:\n Hamid is the instructor who teaches", " INSTRUCTOR", " INSTRUCTS", " GUIDED_BY\n or\n HELPED_DURING\n", " INSTRUCTOR", " PROVIDES_SUPPORT", " TEACHER_OF\n OR\n INSTRUCTOR_OF\n OR\n", " INSTRUCTOR", " INSTRUCTS", " STUDENT_OF", " STARTED_TEACHING", " INSTRUCTED_BY", " STUDENT_AT", " INSTRUCTED_BY", " TEACHED_WITH\n\n Entities: \n [{'head': ['", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n Macie Zhang ment", " TEACHED_IN.", " STUDENT_OF", " INSTRUCTED_BY", " INSTRUCTED_BY", " STUDENT_OF", " STUDENT_OF", " 'MENTIONED_DATE'", " Macie_Zhang_said_at\n\n Entities: \n ", " STUDENT_OF", " Macie_Zhang_is_a_student_of_BCIT.", " INSTRUCTS", " STARTED_IN.", " INSTRUCTS", " TEACHES\n\n Entities: \n [{'head': ['34", " TEACHES_WITH\n\n Explanation:\n The text states that Ham", " USED_FOR_TEACHING", " USED_FOR_TEACHING", " TEACHED_WITH\n\n Explanation:\n Macie Zhang ment", " INSTRUCTS", " INSTRUCTS\n\n Explanation:\n Macie Zhang is a student", " HELPED_DURING_TIMES\n\n Explanation:\n", " INSTRUCTS", " TAUGHT_IN\n\n Explanation:\n The text states that", " SEMESTER_OF\n ORGANIZATION_FOR\n OR_SE", " INSTRUCTS", " INSTRUCTS", " INSTRUCTOR_OF", " SAID_ON", " SAID_AT", " INSTRUCTED_BY", " INSTRUCTED_BY\n\n Entities: \n [{'head': ['", " INSTRUCTOR", " TEACHED_IN\n\n Entities: \n [{'head': ['", " INSTRUCTS\n\n Explanation:\n The text states that Hamid is", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n Hamid taught the class", " USED_FOR_TEACHING", " TEACHED_WITH\n\n Explanation:\n Hamid taught the students", " TEACHES\n\n Explanation:\n Hamid is the instructor who teaches", " INSTRUCTOR", " INSTRUCTS", " HELPED_DURING_TIMES\n\n Explanation:\n", " INSTRUCTOR", " PROVIDES_SUPPORT", " TEACHER_OF\n OR\n INSTRUCTOR_OF\n OR\n", " INSTRUCTOR", " INSTRUCTS", " TAUGHT_WITH\n\n Explanation:\n Macie Zhang", " TAUGHT_ON\n\n Entities: \n [{'head':", " TAUGHT_AT\n\n Entities: \n [{'head':", " TAUGHT_BY.", " TAUGHT_WITH\n\n Explanation:\n Macie Zhang", " TEACHED_WITH\n\n Explanation:\n Macie Zhang ment", " TEACHED_WITH\n\n Entities: \n [{'head': ['", " TEACHES_AT", " TEACHED_WITH\n\n Explanation:\n Macie Zhang ment", " TEACHES_WITH\n\n Explanation:\n The text states that Ham", " USED_FOR\n\n Explanation:\n Macie mentions that Ham", " USED_FOR_TRAINING", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " INSTRUCTS", " HELPED_DURING_TIMES\n\n Explanation:\n", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHED_WITH\n\n Explanation:\n Macie Zhang is", " TEACHED_WITH\n\n Explanation:\n Macie Zhang ment", " INSTRUCTS", " TEACHED_WITH\n\n Explanation:\n Macie Zhang is", " TEACHED_ON\n\n Explanation:\n Macie Zhang ment", " TAUGHT_WITH\n\n Explanation:\n The text states that", " TEACHED_WITH\n\n Explanation:\n Macie is a PER", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHES_AT", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " USED_FOR\n\n Explanation:\n The text states that Hamid", " USES\n\n Explanation:\n Macie mentions that Hamid taught", " USED_TO_TEACH", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHES", " HELPED_DURING_TIME_PERIOD", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHES", " USED_FOR_LEARNING", " USED_BY", " USED_FOR_TEACHING", " USED_BY", " USED_FOR_TEACHING", " USED_FOR_TEACHING", " USED_FOR_TEACHING", " USED_FOR_LEARNING", " USED_FOR_LEARNING", " USED_FOR_TEACHING", " USED_BY", " USED_FOR_TEACHING", " USED_FOR_TEACHING", " USED_BY", " USED_BY", " USED_BY", " MENTIONED_AT", " USED_BY", " INSTRUCTED_BY\n or\n TEACHED_WITH\n\n Ex", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHES_AT", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " USED_FOR_TRAINING", " USED_FOR\n\n Explanation:\n Macie mentions that Ham", " USED_FOR\n\n Explanation:\n Macie mentions that Ham", " USED_TO_TEACH\n\n Explanation:\n The text ment", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHES\n\n Explanation:\n The text states that Hamid taught", " HELPED_DURING_TIME_PERIOD", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " USED_FOR\n\n Explanation:\n The text states that Hamid", " TEACHING_DURATION", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHES\n\n Explanation:\n The text states that Hamid taught", " INSTRUCTED_BY", " USED_BY", " TAUGHT_AT\n\n Explanation:\n Macie mentions", " INSTRUCTED_BY", " INSTRUCTED_BY", " TEACHED_BY", " TEACHED_AT", " ORGANIZATION_MEMBER_OF", " TEACHES\n\n Explanation:\n The text states that Hamid taught", " USED_FOR_TEACHING", " USED_FOR_TRAINING", " USED_FOR\n\n Explanation:\n Macie mentions that Ham", " USES\n\n Explanation:\n Macie mentions that Hamid taught", " TEACHES\n\n Explanation:\n The text mentions that Hamid", " INSTRUCTS", " HELPED_DURING_TIME_PERIOD", " TEACHED_BY", " USED_FOR\n\n Explanation:\n Macie mentions that Ham", " TEACHING_FOR\n\n Explanation:\n Macie Zhang is", " TEACHED_BY", " INSTRUCTS", " INSTRUCTOR_OF", " SAID_ON", " SAID_AT", " INSTRUCTOR_OF", " INSTRUCTOR_OF\n\n Entities: \n [{'head': ['", " INSTRUCTOR", " TEACHED_IN\n\n Entities: \n [{'head': ['", " INSTRUCTS\n\n Explanation:\n Hamid instructs at BCIT", " INSTRUCTOR", " TEACHES\n\n Entities: \n [{'head': ['34", " TEACHED_WITH\n\n Explanation:\n Hamid taught the class", " USED_FOR_TEACHING", " TEACHED_WITH\n\n Explanation:\n Hamid taught the students", " TEACHES\n\n Explanation:\n Hamid is the instructor who teaches", " INSTRUCTS", " HELPED_DURING_TIMES\n\n Explanation:\n", " INSTRUCTOR", " PROVIDES_SUPPORT", " TEACHER_OF\n OR\n INSTRUCTOR_OF\n OR\n", " INSTRUCTOR", " INSTRUCTS", " INSTRUCTOR_OF", " TAUGHT_AT\n\n Entities: \n [{'head':", " SAID_AT", " INSTRUCTOR_OF", " INSTRUCTOR_OF", " INSTRUCTS", " STARTED_IN.", " LOCATION_OF\n\n Explanation:\n The text states that Mac", " INSTRUCTS", " TEACHES\n\n Entities: \n [{'head': ['34", " TEACHES_WITH\n\n Explanation:\n The text states that Ham", " USED_FOR_TEACHING", " USED_BY", " TEACHES\n\n Explanation:\n The text mentions that Hamid", " INSTRUCTS", " HELPS_DURING\n\n Explanation:\n Macie ment", " INSTRUCTS", " INSTRUCTOR_OF\n\n Explanation:\n The text states that Ham", " TEACHING_FOR\n\n Explanation:\n Macie Zhang is", " INSTRUCTS", " INSTRUCTOR_OF", " HELPED", " HELPED", " HELPED", " EXTENDED_HOURS_FOR_ORG", " HELPED", " HELPED_WITH\n\n Explanation:\n The text states that", " HELPED_WITH\n\n Explanation:\n Macie mentions", " HELPED_WITH\n\n Explanation:\n Macie mentions", " HELPED_WITH\n\n Explanation:\n Macie mentions", " HELPED", " EXTRA_HELP_FROM", " GUIDED_BY", " HELPED", " HELPED_BY", " INSTRUCTED_BY", " TAUGHT\n\n Entities: \n [{'head': ['1", " SAID_AT", " INSTRUCTOR_OF", " INSTRUCTED_BY", " INSTRUCTOR", " TEACHED_IN.", " INSTRUCTS\n\n Explanation:\n Hamid instructs at BCIT", " INSTRUCTOR", " TEACHED_WITH\n\n Explanation:\n Hamid taught the students", " TEACHED_WITH\n\n Explanation:\n Hamid taught the class", " USED_FOR_TEACHING", " TEACHED_WITH\n\n Explanation:\n Hamid taught the students", " TEACHED_WITH\n\n Explanation:\n Hamid taught the students", " INSTRUCTOR", " INSTRUCTS", " HELPED_DURING_TIMES\n\n Explanation:\n", " PROVIDES_SUPPORT", " TEACHER_OF\n OR\n INSTRUCTOR_OF\n OR\n", " INSTRUCTOR_OF", " INSTRUCTS", " STAYED_UP_LATE_FOR\n\n Explanation:\n ", " STAYED_UP_LATE_FOR_HELP_FROM", " GUIDED_BY", " ORGANIZATION_HOURS", " GUIDED_BY", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHED_WITH\n\n Explanation:\n The text mentions that", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " TEACHED_WITH\n\n Explanation:\n Macie mentions that", " PROVIDES_SUPPORT", " TEACHES\n\n Explanation:\n Macie Zhang is in a", " HELPED", " PROVIDES_SUPPORT", " TEACHES\n\n Explanation:\n Macie is in Hamid'", " STUDENT_OF", " STUDENT_OF", " INSTRUCTOR", " STUDENT_OF", " INSTRUCTOR", " TEACHED_WITH\n\n Explanation:\n Macie Zhang has", " TEACHED_WITH\n\n Explanation:\n Macie Zhang has", " TEACHED_WITH\n\n Explanation:\n Macie Zhang has", " TEACHED_WITH\n\n Explanation:\n The text states that Ham", " INSTRUCTOR_OF", " TEACHED_AT", " INSTRUCTOR_OF", " INSTRUCTOR_OF", " TEACHED_AT", " INSTRUCTED_BY", " TAUGHT\n\n Entities: \n [{'head': ['Mac", " SAID_AT", " INSTRUCTED_BY", " INSTRUCTED_BY", " INSTRUCTOR", " TEACHED_IN.", " INSTRUCTS\n\n Explanation:\n Hamid instructs at BCIT", " INSTRUCTOR", " TEACHES\n\n Entities: \n [{'head': ['34", " TEACHED_WITH\n\n Explanation:\n Hamid taught the class", " USED_FOR_TEACHING", " TEACHED_WITH\n\n Explanation:\n Hamid taught the students", " TEACHES\n\n Explanation:\n Hamid is the instructor for Fort", " INSTRUCTOR", " INSTRUCTS", " HELPED_DURING_TIMES\n\n Explanation:\n", " INSTRUCTOR_OF", " PROVIDES_SUPPORT", " TEACHER_OF\n OR\n INSTRUCTOR_OF\n OR\n", " INSTRUCTS", " INSTRUCTOR_OF", " TAUGHT_AT\n\n Entities: \n [{'head':", " INSTRUCTOR_OF\n\n Entities: \n [{'head': ['", " INSTRUCTOR_OF", " INSTRUCTS", " INSTRUCTS", " TEACHED_AT", " INSTRUCTS_AT", " INSTRUCTS", " TEACHES\n\n Explanation:\n The text states that Hamid taught", " TEACHES_WITH\n\n Explanation:\n The text states that Ham", " USED_FOR_TEACHING", " USED_FOR_TEACHING", " TEACHES\n\n Explanation:\n Macie Zhang mentions that", " INSTRUCTS", " INSTRUCTOR_OF", " HELPED_DURING_TIMES\n\n Explanation:\n", " INSTRUCTS", " INSTRUCTOR_OF\n\n Explanation:\n The text states that Ham", " TEACHED_IN.", " INSTRUCTS" ]

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[ "Building Certifier (Cadet) & Office Manager\nNatalie is our welcoming Townsville Client Services Manager and responsible for taking care of our clients in and around the Townsville region.\nHer experience in the building industry and, more specifically, in all areas of administration means that she is proactive and very effective in maintaining the first-class client care we strive for. She is committed to ensuring high quality service to all our clients and helps them throughout the approval process step by step.\nNatalie is our ‘go-to’ person in Townsville, and she takes care of booking inspections, issuing building approvals, lodging local government referrals and any other administrative tasks needed.\n- Being surrounded by family and enjoying quality time with them all\n- Spending time outdoors in the garden" ]

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[ " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " SPOUSE_OF\n\n Explanation:\n The text does not provide", " SELF", " RESPONSIBLE_FOR", " MANAGES_REGIONALLY", " LOCATION_IN\n or\n LOCATED_IN\n or\n", " RESPONSIBLE_FOR", " MANAGES", " LOCATION_IN_LOCATION", " MANAGES_REGIONALLY", " LOCATION_IN\n or\n LOCATED_IN\n or\n", " RESPONSIBLE_FOR", " MANAGES", " LOCATION_IN\n or\n LOCATED_IN\n or\n", " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " MANAGER", " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " RESPONSIBLE_FOR", " MANAGES", " LOCATION_IN_LOCATION", " LOCATION_IN_LOCATION", " RESPONSIBLE_FOR", " MANAGES_REGIONALLY" ]

[ [ "9", "10", "PERSON", "Natalie" ], [ "13", "14", "GPE", "Townsville" ], [ "29", "30", "GPE", "Townsville" ], [ "60", "61", "ORDINAL", "first" ], [ "93", "94", "PERSON", "Natalie" ], [ "103", "104", "GPE", "Townsville" ] ]

[ "Get into the festive spirit with our Poppy Claus Santa Claus Christmas Shirt. This unique and stylish shirt features a vibrant design of Santa Claus surrounded by poppy flowers, adding a touch of elegance to your holiday wardrobe. Made from high-quality materials, this shirt is not only comfortable but also durable, ensuring it will last for many Christmas seasons to come. Perfect for both casual and formal occasions, this shirt is a must-have for any man looking to make a statement this holiday season. Don’t miss out on our Christmas Sweaters Mens Sale and grab this amazing shirt at a discounted price today!\nHappy shopping at Teedenis" ]

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[ [ { "head": [ "24", "26", "PERSON", "Santa Claus" ], "tail": [ "63", "66", "DATE", "many Christmas seasons" ] } ], [ { "head": [ "24", "26", "PERSON", "Santa Claus" ], "tail": [ "92", "95", "DATE", "this holiday season" ] } ], [ { "head": [ "24", "26", "PERSON", "Santa Claus" ], "tail": [ "115", "116", "DATE", "today" ] } ], [ { "head": [ "24", "26", "PERSON", "Santa Claus" ], "tail": [ "121", "122", "ORG", "Teedenis" ] } ], [ { "head": [ "63", "66", "DATE", "many Christmas seasons" ], "tail": [ "24", "26", "PERSON", "Santa Claus" ] } ], [ { "head": [ "63", "66", "DATE", "many Christmas seasons" ], "tail": [ "121", "122", "ORG", "Teedenis" ] } ], [ { "head": [ "92", "95", "DATE", "this holiday season" ], "tail": [ "24", "26", "PERSON", "Santa Claus" ] } ], [ { "head": [ "92", "95", "DATE", "this holiday season" ], "tail": [ "121", "122", "ORG", "Teedenis" ] } ], [ { "head": [ "115", "116", "DATE", "today" ], "tail": [ "24", "26", "PERSON", "Santa Claus" ] } ], [ { "head": [ "115", "116", "DATE", "today" ], "tail": [ "121", "122", "ORG", "Teedenis" ] } ], [ { "head": [ "121", "122", "ORG", "Teedenis" ], "tail": [ "24", "26", "PERSON", "Santa Claus" ] } ], [ { "head": [ "121", "122", "ORG", "Teedenis" ], "tail": [ "63", "66", "DATE", "many Christmas seasons" ] } ], [ { "head": [ "121", "122", "ORG", "Teedenis" ], "tail": [ "92", "95", "DATE", "this holiday season" ] } ], [ { "head": [ "121", "122", "ORG", "Teedenis" ], "tail": [ "115", "116", "DATE", "today" ] } ] ]

[ " LASTS_FOR", " SEASON_OF\n\n Explanation:\n The text describes that the", " SALE\n\n Explanation:\n The text mentions a \"Christmas", " SELLS\n\n Explanation:\n The text describes how one can purchase", " SEASONS_FOR\n or\n Santa Claus is the subject of many", " SELLER_OF", " SEASON_OF\n # The given text describes Santa Claus as appearing during the", " SHOPS_AT", " GIFTING\n or\n NO_RELATION (if 'Santa Claus", " SHOPS_AT", " SELLER_OF\n\n Explanation:\n The text mentions that", " PROVIDES_SERVICE_FOR_DURATION", " SEASON_OF\n\n Explanation:\n The text mentions that", " SALE\n\n Explanation:\n The text mentions a 'Christmas" ]

[ [ "24", "26", "PERSON", "Santa Claus" ], [ "63", "66", "DATE", "many Christmas seasons" ], [ "92", "95", "DATE", "this holiday season" ], [ "115", "116", "DATE", "today" ], [ "121", "122", "ORG", "Teedenis" ] ]

[ "DC have just announced that Bruce Wayne will no longer be Batman. Obviously this is huge, but on the surface, what are the initial implications of this?\nLets not forget, Dick Grayson was Batman for a while in the comics. So is someone replacing Batman, or is Bruce Wayne just going into retirement? – Aaron Hatch9 years ago\nMust admit to a certain amount of fatigue with the comic industry's \"radical change\" announcements; they never \"stick\". Superman died; came back. Batman's back was broken; got fixed. This is one of the biggest problem with ongoing, serial franchises: you can't make and keep real changes. Maybe an approach to this topic could include the struggle against that kind of reader fatigue. – Monique9 years ago" ]

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[ "The Supreme Court has decided to take up all seven of the cases challenging the Obamacare mandate that requires workplaces to provide birth control to female employees.\nThe most notable of these seven petitioners are the Little Sisters of the Poor, a Catholic organization that provides housing and care for the elderly poor. In accordance to their religious beliefs, they do not provide contraceptives to their female employees, but this violates a regulation stemming from the Affordable Care Act, or Obamacare. In September, Pope Francis visited with the sisters in support of their legal fight.\nThis is the fourth time the court will consider challenges to the Obamacare birth-control mandate. In last year’s Hobby Lobby decision, the court determined that a for-profit business could abstain from paying for their employees’ birth control because forcing companies to do otherwise would violate their right to free speech. These cases, however, will determine whether religious, non-profit organizations are afforded that same right." ]

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[ "Office: Tom Killion San Francisco Bay Note Card Set\nNoted artist Tom Killion studied History at UC Santa Cruz, where he was introduced to fine book printing by William Everson and Jack Stauffacher. In 1975, he produced his first illustrated book on UCSC's Cowell Press. Killion is currently working on landscape prints including treescapes, coastal and mountain views in a Japanese-style woodcut style.\nThe Bay Area notecard set contains 12 blank notecards and envelopes, 3 each of 4 designs. Includes San Francisco from the Presidio; The City from Grizzly Peak; Golden Gate Sunset; The City from Yellow Bluff." ]

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"GPE", "The City" ] } ], [ { "head": [ "94", "96", "GPE", "San Francisco" ], "tail": [ "103", "105", "LOC", "Grizzly Peak" ] } ], [ { "head": [ "94", "96", "GPE", "San Francisco" ], "tail": [ "106", "109", "LOC", "Golden Gate Sunset" ] } ], [ { "head": [ "94", "96", "GPE", "San Francisco" ], "tail": [ "110", "115", "GPE", "The City from Yellow Bluff" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "2", "4", "PERSON", "Tom Killion" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "4", "7", "LOC", "San Francisco Bay" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "13", "15", "PERSON", "Tom Killion" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "16", "17", "ORG", "History" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "18", "21", "ORG", "UC Santa Cruz" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "31", "33", "PERSON", "William Everson" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "34", "36", "PERSON", "Jack Stauffacher" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "47", "48", "ORG", "UCSC" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "49", "51", "ORG", "Cowell Press" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "52", "53", "PERSON", "Killion" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "76", "78", "LOC", "Bay Area" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "94", "96", "GPE", "San Francisco" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "100", "102", "GPE", "The City" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "103", "105", "LOC", "Grizzly Peak" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "106", "109", "LOC", "Golden Gate Sunset" ] } ], [ { "head": [ "98", "99", "FAC", "Presidio" ], "tail": [ "110", "115", "GPE", "The City from Yellow Bluff" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "2", "4", "PERSON", "Tom Killion" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "4", "7", "LOC", "San Francisco Bay" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "13", "15", "PERSON", "Tom Killion" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "16", "17", "ORG", "History" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "18", "21", "ORG", "UC Santa Cruz" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "31", "33", "PERSON", "William Everson" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "34", "36", "PERSON", "Jack Stauffacher" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "38", "39", "DATE", "1975" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "43", "44", "ORDINAL", "first" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "47", "48", "ORG", "UCSC" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "49", "51", "ORG", "Cowell Press" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "52", "53", "PERSON", "Killion" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "68", "69", "NORP", "Japanese" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "76", "78", "LOC", "Bay Area" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "81", "82", "CARDINAL", "12" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "87", "88", "CARDINAL", "3" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "90", "91", "CARDINAL", "4" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "94", "96", "GPE", "San Francisco" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "98", "99", "FAC", "Presidio" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "103", "105", "LOC", "Grizzly Peak" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "106", "109", "LOC", "Golden Gate Sunset" ] } ], [ { "head": [ "100", "102", "GPE", "The City" ], "tail": [ "110", "115", "GPE", "The City from Yellow Bluff" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "2", "4", "PERSON", "Tom Killion" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "4", "7", "LOC", "San Francisco Bay" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "13", "15", "PERSON", "Tom Killion" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "16", "17", "ORG", "History" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "18", "21", "ORG", "UC Santa Cruz" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "31", "33", "PERSON", "William Everson" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "34", "36", "PERSON", "Jack Stauffacher" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "38", "39", "DATE", "1975" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "43", "44", "ORDINAL", "first" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "47", "48", "ORG", "UCSC" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "49", "51", "ORG", "Cowell Press" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "52", "53", "PERSON", "Killion" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "68", "69", "NORP", "Japanese" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "76", "78", "LOC", "Bay Area" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "81", "82", "CARDINAL", "12" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "87", "88", "CARDINAL", "3" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "90", "91", "CARDINAL", "4" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "94", "96", "GPE", "San Francisco" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "98", "99", "FAC", "Presidio" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "100", "102", "GPE", "The City" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "106", "109", "LOC", "Golden Gate Sunset" ] } ], [ { "head": [ "103", "105", "LOC", "Grizzly Peak" ], "tail": [ "110", "115", "GPE", "The City from Yellow Bluff" ] } ], [ { "head": [ "106", "109", "LOC", "Golden Gate Sunset" ], "tail": [ "2", "4", "PERSON", "Tom Killion" ] } ], [ { "head": [ "106", "109", "LOC", "Golden Gate Sunset" ], "tail": [ "4", "7", "LOC", "San Francisco Bay" ] } ], [ { "head": [ "106", "109", "LOC", "Golden Gate Sunset" ], "tail": [ "13", "15", "PERSON", "Tom Killion" ] } ], [ { "head": [ "106", "109", "LOC", "Golden Gate Sunset" ], "tail": [ "16", "17", "ORG", "History" ] } ], [ { "head": [ "106", "109", "LOC", "Golden Gate Sunset" ], "tail": [ "18", "21", "ORG", "UC Santa Cruz" ] } ], [ { "head": [ 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"ORG", "UCSC" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "49", "51", "ORG", "Cowell Press" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "52", "53", "PERSON", "Killion" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "68", "69", "NORP", "Japanese" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "76", "78", "LOC", "Bay Area" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "81", "82", "CARDINAL", "12" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "87", "88", "CARDINAL", "3" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "90", "91", "CARDINAL", "4" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "94", "96", "GPE", "San Francisco" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "98", "99", "FAC", "Presidio" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "100", "102", "GPE", "The City" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "103", "105", "LOC", "Grizzly Peak" ] } ], [ { "head": [ "110", "115", "GPE", "The City from Yellow Bluff" ], "tail": [ "106", "109", "LOC", "Golden Gate Sunset" ] } ] ]

[ " PRODUCES", " SELF_REFERENCE", " STUDIED_AT", " STUDIED_AT", " INTRODUCED_BY", " INTRODUCED_BY", " PRODUCED", " PRODUCED_BY", " STUDIED_AT", " PRODUCED_BY", " SAME_AS", " WORKS_IN_STYLE", " PRODUCES", " PRODUCES", " PRODUCED", " PRODUCED", " PRODUCED_BY\n\n Explanation:\n Tom Killion produced", " PRODUCED_AT", " LIVES_IN\n\n Explanation:\n Tom Killion lives in", " THE_LOCATION_OF", " PRODUCED_BY", " CREATED_IN", " PRODUCED_BY", " PRODUCED_BY", " BACKGROUND_OF\n\n Explanation:\n The text mentions", " LOCATED_AT", " INTRODUCED_TO", " INTRODUCED_TO", " PRODUCED", " CONTAINS", " EDUCATED_AT", " PRODUCED_BY", " PRODUCED_BY", " STYLE_OF\n\n Explanation:\n The text states that Tom", " CONTAINS", " CONTAINS", " CONTAINS", " CONTAINS", " CONTAINS", " CONTAINS", " NEAR_BODY_OF_WATER", " VIEW_OF", " NEAR.\n\n Explanation:\n The text states that the notec", " LOCATION_OF", " SELF_REFERENCE", " PRODUCES", " STUDIED_AT", " STUDIED_AT", " INTRODUCED_BY", " INTRODUCED_BY", " PRODUCED", " PRODUCED_FIRST", " STUDIED_AT", " PRODUCED_AT", " SAME_AS", " WORKS_IN_STYLE", " PRODUCES", " PRODUCES", " PRODUCED", " PRODUCED", " PRODUCED_BY\n\n Explanation:\n Tom Killion produced", " PRODUCED_AT", " LIVES_IN\n\n Explanation:\n Tom Killion lives in", " FROM_LOCATION", " PRODUCED_BY", " PRODUCED_BY", " STUDIED_AT", " EDUCATED_AT", " STUDIED_AT", " STUDIED_AT", " INTRODUCED_TO", " INTRODUCED_TO", " STUDIED_AT", " STUDIED_AT", " STUDIED_AT", " STUDIED_AT", " STUDIED_AT", " STUDIED_AT\n or\n INTRODUCED_TO\n", " STUDIED_AT", " EDUCATED_AT", " STUDIED_AT", " STUDIED_AT", " STUDIED_AT", " LOCATION_OF\n\n Explanation:\n The text states that Tom", " STUDIED_AT", " THE_LOCATION_OF\n or\n LOCATED_AT\n or", " ASSOCIATED_WITH", " LOCATED_IN", " STUDIED_AT", " LOCATED_AT", " STUDIED_AT", " STUDIED_AT", " INTRODUCED_TO", " INTRODUCED_TO", " PRODUCED", " PRODUCED_AT", " SAME_AS", " PRODUCED_AT", " STUDIED_AT", " INFLUENCED_BY", " LOCATED_AT", " PRODUCED", " PRODUCED_BY", " PRODUCED_BY", " EDUCATED_AT", " LOCATION_OF\n\n Explanation:\n The text mentions that", " EDUCATED_AT", " VIEWPOINT_LOCATION", " PRODUCED_AT", " LOCATED_AT", " TEACHER_OF", " INTRODUCED_TO", " TEACHER", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_BY", " PRODUCED", " INTRODUCED_BY", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_BY", " INTRODUCED_TO", " INTRODUCED_TO", " PRODUCED_BY", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " PRODUCED_BY", " PRODUCED_AT", " INTRODUCED_BY", " INTRODUCED_TO", " INTRODUCED_BY", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_BY", " PRODUCED", " INTRODUCED_BY", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_BY", " INTRODUCED_TO\n\n Explanation:\n The text states", " INTRODUCED_TO", " PRODUCED", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " PRODUCED", " PRINTED_AT", " PRODUCED", " PRODUCED", " PRODUCED", " STUDIED_AT", " PRODUCED_AT", " INTRODUCED_BY", " INTRODUCED_TO", " PRODUCED_AT", " PRODUCED_AT", " PRODUCED", " PRODUCED_IN", " PRODUCED_IN", " PRODUCED", " PRODUCED_AT", " PRODUCED", " PRODUCED_AT", " PRODUCED_BY", " PRODUCED", " PRODUCED_BY", " STUDIED_AT", " PRODUCED_AT", " INTRODUCED_BY", " INTRODUCED_BY", " PRODUCED_AT", " PRODUCED_BY", " PRODUCED_BY", " PRODUCED", " PRODUCED", " PRODUCED_BY", " CONTAINS\n\n Explanation:\n The text states that \"In ", " PRODUCED", " PRODUCED", " STUDIED_AT", " ASSOCIATED_WITH", " STUDIED_AT", " STUDIED_AT", " EDUCATED_AT", " INTRODUCED_TO", " INTRODUCED_TO", " PRODUCED", " PRODUCED_AT", " PRODUCED_AT", " STUDIED_AT", " WAS_INTRODUCED_TO\n\n Explanation:\n ", " LOCATED_AT", " PRODUCES", " PRODUCED", " PRODUCED_BY", " INTRODUCED_TO", " LOCATION_OF\n\n Explanation:\n The text states that \"", " UNIVERSITY_OF\n\n Explanation:\n The text states that", " LOCATION_OF\n OR LOCATION_AT\n OR NEAR\n", " ASSOCIATED_WITH", " LOCATED_IN", " PRODUCED_BY", " PRODUCED_AT", " PRODUCED_BY", " STUDIED_AT", " EDUCATED_AT", " INTRODUCED_TO", " PRODUCED_BY", " PRODUCED", " PRODUCED_BY", " PRODUCED_AT", " PRODUCED_BY", " PRODUCED_BY\n\n Explanation:\n Tom Killion produced", " PRODUCED_AT", " PRODUCED", " PRODUCED_BY", " PRODUCED_BY", " PRODUCED_AT", " PRODUCED_AT", " PRODUCED_AT", " NEAR_PEAK\n\n Explanation:\n The text states that Tom", " PRODUCED_AT", " PRODUCED_AT", " SELF_REFERENCE", " ASSOCIATED_WITH", " SELF_REFERENCE", " STUDIED_AT", " STUDIED_AT", " STUDIED_WITH", " INTRODUCED_BY", " PRODUCED", " PRODUCED_FIRST", " STUDIED_AT", " PRODUCED_AT", " WORKS_IN_STYLE", " PRODUCES", " PRODUCES", " PRODUCES", " PRODUCES", " PRODUCED_IN.", " CONTAINS\n\n Explanation:\n The text states that \"San Francisco", " LIVES_IN\n\n Explanation:\n The text states that Tom", " FROM_LOCATION", " PRODUCED_BY", " PRODUCED_BY", " WORKS_IN_STYLE", " JAPANESE_OF\n\n Explanation:\n The text states", " WORKS_IN_STYLE", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_TO", " WORKED_AT", " WORKS_IN_STYLE", " JAPANESE_OF\n or\n BAY_AREA_LOC", " JAPANESE_STYLE_OF_Landscape_Prints_FROM", " JAPANESE_OF\n\n Explanation:\n The text states", " JAPANESE_OF\n\n Explanation:\n The text states", " HAS_STYLE", " JAPANESE_OF\n or\n JAPANESE_ST", " PRODUCED_BY", " CONTAINS", " PRODUCED_BY", " LOCATED_AT", " LOCATED_AT", " INTRODUCED_BY", " PRODUCED_BY", " PRODUCED", " The Bay Area is the location of the first notecard set.", " LOCATED_AT", " LOCATED_AT", " PRODUCED_BY", " STYLE_OF\n\n Explanation:\n The text states that Tom", " CONTAINS", " CONTAINS", " CONTAINS", " LOCATION_IN.", " LOCATION_OF\n Or\n NO_RELATION (if no relation exists", " LOCATION_OF\n Or\n NO_RELATION (if 'The City", " NEAR.\n\n Explanation:\n The text states that \"The Bay", " NEAR\n\n Explanation:\n The text states that \"The Bay Area", " LOCATION_OF", " PRODUCED_BY", " ASSOCIATED_WITH", " PRODUCED_BY", " STUDIED_AT", " PRODUCED_AT", " INTRODUCED_BY", " PRODUCED_BY", " PRODUCED_AT", " PRODUCED_BY", " PRODUCED_BY", " CONTAINS", " CONTAINS", " CONTAINS", " CONTAINS", " CONTAINS", " CONTAINS", " PRODUCED_BY", " ASSOCIATED_WITH", " PRODUCED_BY", " STUDIED_AT", " STUDIED_AT", " INTRODUCED_BY", " INTRODUCED_BY", " STUDIED_AT", " PRODUCED_BY", " PUBLISHER", " PRODUCES", " PRODUCES", " CONTAINS", " THE_LOCATION_OF", " CONTAINS", " PRODUCES", " PRODUCED_BY", " ASSOCIATED_WITH", " PRODUCED_BY", " STUDIED_AT", " STUDIED_AT", " INTRODUCED_BY", " INTRODUCED_BY", " PRODUCED_AT", " PRODUCED_BY", " PRODUCED_BY", " PRODUCES", " PRODUCES", " CONTAINS", " THE_LOCATION_OF", " CONTAINS", " CONTAINS", " PRODUCED_BY", " NEAR_BODY_OF_WATER", " PRODUCED_BY", " STUDIED_AT", " LOCATION_OF\n OR:\n EDUCATED_AT", " INTRODUCED_BY", " INTRODUCED_BY", " PRODUCED", " The first [San Francisco] is located at [first] (assuming 'first' refers", " EDUCATED_AT", " PRODUCED_AT", " PRODUCED_BY", " STYLE_OF\n\n Explanation:\n The text mentions that", " LOCATION_IN.", " CONTAINS", " CONTAINS", " CONTAINS", " LOCATION_OF\n\n Explanation:\n The text states that \"", " SAME_AS", " LOCATION_OF\n Or\n NO_RELATION (if no relation exists", " 'LOC_OF'", " LOCATION_OF\n Or\n NO_RELATION (if 'The City", " CREATED_BY", " VIEW_OF", " CREATED_BY", " LOCATION_OF\n OR:\n EDUCATED_AT", " INTRODUCED_TO", " INTRODUCED_BY", " INTRODUCED_BY", " INTRODUCED_TO", " PRODUCED_BY", " CREATED_BY", " CONTAINS_LOCATION", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF\n or\n VIEW_OF\n or\n ", " VIEW_FROM", " VIEW_OF", " VIEW_OF", " CREATED_BY", " NEAR_BODY_OF_WATER", " CREATED_BY", " STUDIED_AT", " LOCATED_AT", " INTRODUCED_BY", " INTRODUCED_BY", " PRODUCED", " THE_CITY_IS_ONE_OF_THE_DESIGNS_OF_", " LOCATED_AT", " PRODUCED_BY", " CREATED_BY", " STYLE_OF\n\n Explanation:\n The text states that Tom", " LOCATION_IN.", " CONTAINS", " CONTAINS", " CONTAINS", " LOCATION_IN_LOCATION", " FROM_LOCATION", " LOCATION_OF\n or\n PART_OF\n or\n V", " 'LOCATION_OF'", " FROM_LOCATION", " WORKED_AT", " VIEW_FROM", " WORKED_AT", " INTRODUCED_TO", " INTRODUCED_TO", " INTRODUCED_BY", " INTRODUCED_BY", " EVENT_STARTED_AT", " THE_City_FROM\n\n Explanation:\n The text states that \"", " INTRODUCED_TO", " PRODUCED_AT", " WORKED_AT", " VIEWPOINT_OF\n\n Explanation:\n The text states that K", " VIEW_FROM", " VIEWPOINT_OF", " VIEWPOINT_OF", " THE_LOCATION_OF\n Or\n LOCATED_AT\n Or", " FROM_LOCATION", " VIEW_FROM", " LOCATION_OF\n or\n VIEWPOINT_OF\n or\n", " VIEW_OF", " LOCATION_OF\n Or\n NO_RELATION (if the entities do", " PRODUCED_BY", " SUNSET_OF", " PRODUCED_BY", " BACKGROUND_OF\n\n Explanation:\n The text mentions", " PRODUCED_AT", " PRODUCED_BY", " PRODUCED_BY", " EVENT_STARTED", " DESCRIBED_BY", " PRODUCED_AT", " PRODUCED_BY", " CREATED_BY", " DESCRIBED_BY", " SUNSET_OF\n\n Explanation:\n The text states that \"", " DESCRIBED_BY", " DESCRIBED_BY", " DESCRIBED_BY", " SUNSET_OF", " VIEW_OF", " SUNSET_OF", " VIEW_OF", " VIEW_OF", " CREATED_BY", " NEAR_BODY_OF_WATER", " CREATED_BY", " LOCATED_IN", " LOCATED_AT", " PRODUCED_BY", " PRODUCED_BY", " PRODUCED_IN_YEAR", " DESCRIBED_BY", " LOCATED_AT", " PRODUCED_BY", " CREATED_BY", " THEME_OF\n\n Explanation:\n The text mentions that Tom", " LOCATION_OF", " PRODUCES", " VIEWPOINT_OF", " LOCATION_OF\n OR\n PRODUCED_BY\n OR", " LOCATION_OF\n # This relation indicates that the location 'The City from Yellow", " VIEWED_FROM", " LOCATION_OF\n or\n PART_OF\n or\n SY", " LOCATION_OF\n or\n VIEWPOINT_OF\n or\n", " LOCATION_OF\n or\n VIEWPOINT_OF\n or\n" ]

[ [ "2", "4", "PERSON", "Tom Killion" ], [ "4", "7", "LOC", "San Francisco Bay" ], [ "13", "15", "PERSON", "Tom Killion" ], [ "16", "17", "ORG", "History" ], [ "18", "21", "ORG", "UC Santa Cruz" ], [ "31", "33", "PERSON", "William Everson" ], [ "34", "36", "PERSON", "Jack Stauffacher" ], [ "38", "39", "DATE", "1975" ], [ "43", "44", "ORDINAL", "first" ], [ "47", "48", "ORG", "UCSC" ], [ "49", "51", "ORG", "Cowell Press" ], [ "52", "53", "PERSON", "Killion" ], [ "68", "69", "NORP", "Japanese" ], [ "76", "78", "LOC", "Bay Area" ], [ "81", "82", "CARDINAL", "12" ], [ "87", "88", "CARDINAL", "3" ], [ "90", "91", "CARDINAL", "4" ], [ "94", "96", "GPE", "San Francisco" ], [ "98", "99", "FAC", "Presidio" ], [ "100", "102", "GPE", "The City" ], [ "103", "105", "LOC", "Grizzly Peak" ], [ "106", "109", "LOC", "Golden Gate Sunset" ], [ "110", "115", "GPE", "The City from Yellow Bluff" ] ]

[ "Sunflowers Don't Grow in Winter\nBased on a True Story. Ziggy decides to plant sunflower seeds in autumn, but everyone knows sunflowers don’t grow in winter. Or do they?\nSunflowers Don’t Grow in Winter is a true story of hope, determination, and a little boy’s love of sunflowers.\nThe book also contains search and find the three B’s: bees, butterflies and birds. Plus at the back of the book we have included ‘How to Grow Sunflowers’, some fun facts about sunflowers and how our thoughts are like seeds.\nRECOMMENDED AGE: 4 - 10 years" ]

[ [ "Sunflowers", "Do", "n't", "Grow", "in", "Winter", "\n", "Based", "on", "a", "True", "Story", ".", "Ziggy", "decides", "to", "plant", "sunflower", "seeds", "in", "autumn", ",", "but", "everyone", "knows", "sunflowers", "do", "n’t", "grow", "in", "winter", ".", "Or", "do", "they", "?", "\n", "Sunflowers", "Do", "n’t", "Grow", "in", "Winter", "is", "a", "true", "story", "of", "hope", ",", "determination", ",", "and", "a", "little", "boy", "’s", "love", "of", "sunflowers", ".", "\n", "The", "book", "also", "contains", "search", "and", "find", "the", "three", "B", "’s", ":", "bees", ",", "butterflies", "and", "birds", ".", "Plus", "at", "the", "back", "of", "the", "book", "we", "have", "included", "‘", "How", "to", "Grow", "Sunflowers", "’", ",", "some", "fun", "facts", "about", "sunflowers", "and", "how", "our", "thoughts", "are", "like", "seeds", ".", "\n", "RECOMMENDED", "AGE", ":", "4", "-", "10", "years" ] ]

[ [ { "head": [ "5", "6", "DATE", "Winter" ], "tail": [ "13", "14", "PERSON", "Ziggy" ] } ], [ { "head": [ "13", "14", "PERSON", "Ziggy" ], "tail": [ "5", "6", "DATE", "Winter" ] } ], [ { "head": [ "13", "14", "PERSON", "Ziggy" ], "tail": [ "20", "21", "DATE", "autumn" ] } ], [ { "head": [ "13", "14", "PERSON", "Ziggy" ], "tail": [ "30", "31", "DATE", "winter" ] } ], [ { "head": [ "13", "14", "PERSON", "Ziggy" ], "tail": [ "42", "43", "DATE", "Winter" ] } ], [ { "head": [ "13", "14", "PERSON", "Ziggy" ], "tail": [ "70", "71", "CARDINAL", "three" ] } ], [ { "head": [ "13", "14", "PERSON", "Ziggy" ], "tail": [ "114", "118", "DATE", "4 - 10 years" ] } ], [ { "head": [ "20", "21", "DATE", "autumn" ], "tail": [ "13", "14", "PERSON", "Ziggy" ] } ], [ { "head": [ "30", "31", "DATE", "winter" ], "tail": [ "13", "14", "PERSON", "Ziggy" ] } ], [ { "head": [ "42", "43", "DATE", "Winter" ], "tail": [ "13", "14", "PERSON", "Ziggy" ] } ], [ { "head": [ "70", "71", "CARDINAL", "three" ], "tail": [ "13", "14", "PERSON", "Ziggy" ] } ], [ { "head": [ "114", "118", "DATE", "4 - 10 years" ], "tail": [ "13", "14", "PERSON", "Ziggy" ] } ] ]

[ " NO_RELATION", " NO_RELATION", " PLANTS_IN\n\n Explanation:\n Ziggy is the", " NO_RELATION", " NO_RELATION", " CONTAINS", " RECOMMENDED_FOR", " PLANTS_IN_SEASON", " NO_RELATION", " NO_RELATION", " PLANTS_SEEDS_OF\n\n Explanation:\n The", " RECOMMENDED_FOR" ]

[ [ "5", "6", "DATE", "Winter" ], [ "13", "14", "PERSON", "Ziggy" ], [ "20", "21", "DATE", "autumn" ], [ "30", "31", "DATE", "winter" ], [ "42", "43", "DATE", "Winter" ], [ "70", "71", "CARDINAL", "three" ], [ "114", "118", "DATE", "4 - 10 years" ] ]

[ "Catie’s Bubbles | Mile High Menthol Luxury Shaving Soap\nA special order turned reality. A friend of the Bubbles requested a soap with Menthol and Eucalyptus in the spirit of the scent of a classic italian soap. This was my offering and it was so loved by him and his friends that I made it for you!\nNet wt. 4oz\nIngredients: stearic acid, water, coconut oil, potassium hydroxide, shea butter, fragrance, sodium hydroxide, jojoba oil, sodium lactate, and glycerin\nThis is a 4oz pour in a 8oz jar so you will see that the jar is approximately half full. This is done intentionally to give room for the brush to load directly in the tub." ]

[ [ "Catie", "’s", "Bubbles", "|", "Mile", "High", "Menthol", "Luxury", "Shaving", "Soap", "\n", "A", "special", "order", "turned", "reality", ".", "A", "friend", "of", "the", "Bubbles", "requested", "a", "soap", "with", "Menthol", "and", "Eucalyptus", "in", "the", "spirit", "of", "the", "scent", "of", "a", "classic", "italian", "soap", ".", "This", "was", "my", "offering", "and", "it", "was", "so", "loved", "by", "him", "and", "his", "friends", "that", "I", "made", "it", "for", "you", "!", "\n", "Net", "wt", ".", "4", "oz", "\n", "Ingredients", ":", "stearic", "acid", ",", "water", ",", "coconut", "oil", ",", "potassium", "hydroxide", ",", "shea", "butter", ",", "fragrance", ",", "sodium", "hydroxide", ",", "jojoba", "oil", ",", "sodium", "lactate", ",", "and", "glycerin", "\n", "This", "is", "a", "4", "oz", "pour", "in", "a", "8", "oz", "jar", "so", "you", "will", "see", "that", "the", "jar", "is", "approximately", "half", "full", ".", "This", "is", "done", "intentionally", "to", "give", "room", "for", "the", "brush", "to", "load", "directly", "in", "the", "tub", "." ] ]

[ [ { "head": [ "6", "7", "ORG", "Menthol" ], "tail": [ "21", "22", "PERSON", "Bubbles" ] } ], [ { "head": [ "6", "7", "ORG", "Menthol" ], "tail": [ "26", "27", "PRODUCT", "Menthol" ] } ], [ { "head": [ "6", "7", "ORG", "Menthol" ], "tail": [ "38", "39", "NORP", "italian" ] } ], [ { "head": [ "6", "7", "ORG", "Menthol" ], "tail": [ "66", "68", "QUANTITY", "4oz" ] } ], [ { "head": [ "6", "7", "ORG", "Menthol" ], "tail": [ "102", "104", "QUANTITY", "4oz" ] } ], [ { "head": [ "6", "7", "ORG", "Menthol" ], "tail": [ "107", "109", "QUANTITY", "8oz" ] } ], [ { "head": [ "6", "7", "ORG", "Menthol" ], "tail": [ "119", "120", "CARDINAL", "half" ] } ], [ { "head": [ "21", "22", "PERSON", "Bubbles" ], "tail": [ "6", "7", "ORG", "Menthol" ] } ], [ { "head": [ "21", "22", "PERSON", "Bubbles" ], "tail": [ "26", "27", "PRODUCT", "Menthol" ] } ], [ { "head": [ "21", "22", "PERSON", "Bubbles" ], "tail": [ "38", "39", "NORP", "italian" ] } ], [ { "head": [ "21", "22", "PERSON", "Bubbles" ], "tail": [ "66", "68", "QUANTITY", "4oz" ] } ], [ { "head": [ "21", "22", "PERSON", "Bubbles" ], "tail": [ "102", "104", "QUANTITY", "4oz" ] } ], [ { "head": [ "21", "22", "PERSON", "Bubbles" ], "tail": [ "107", "109", "QUANTITY", "8oz" ] } ], [ { "head": [ "21", "22", "PERSON", "Bubbles" ], "tail": [ "119", "120", "CARDINAL", "half" ] } ], [ { "head": [ "26", "27", "PRODUCT", "Menthol" ], "tail": [ "6", "7", "ORG", "Menthol" ] } ], [ { "head": [ "26", "27", "PRODUCT", "Menthol" ], "tail": [ "21", "22", "PERSON", "Bubbles" ] } ], [ { "head": [ "38", "39", "NORP", "italian" ], "tail": [ "6", "7", "ORG", "Menthol" ] } ], [ { "head": [ "38", "39", "NORP", "italian" ], "tail": [ "21", "22", "PERSON", "Bubbles" ] } ], [ { "head": [ "66", "68", "QUANTITY", "4oz" ], "tail": [ "6", "7", "ORG", "Menthol" ] } ], [ { "head": [ "66", "68", "QUANTITY", "4oz" ], "tail": [ "21", "22", "PERSON", "Bubbles" ] } ], [ { "head": [ "102", "104", "QUANTITY", "4oz" ], "tail": [ "6", "7", "ORG", "Menthol" ] } ], [ { "head": [ "102", "104", "QUANTITY", "4oz" ], "tail": [ "21", "22", "PERSON", "Bubbles" ] } ], [ { "head": [ "107", "109", "QUANTITY", "8oz" ], "tail": [ "6", "7", "ORG", "Menthol" ] } ], [ { "head": [ "107", "109", "QUANTITY", "8oz" ], "tail": [ "21", "22", "PERSON", "Bubbles" ] } ], [ { "head": [ "119", "120", "CARDINAL", "half" ], "tail": [ "6", "7", "ORG", "Menthol" ] } ], [ { "head": [ "119", "120", "CARDINAL", "half" ], "tail": [ "21", "22", "PERSON", "Bubbles" ] } ] ]

[ " PRODUCES", " INGREDIENT", " INSPIRED_BY", " TYPE_OF\n or\n PRODUCT_OF\n or\n HAS", " TYPE_OF\n OR\n CONTAINS\n\n The text does not provide", " CONTAINS_QUANTITY", " CONTAINS_QUANTITY", " REQUESTED_PRODUCT_WITH_FEATURE\n\n Explanation:\n", " CREATED_BY\n\n Explanation:\n The text states that \"", " INSPIRED_BY", " OFFERS\n\n Explanation:\n The text states that \"Bubbles", " WEIGHT_OF\n OR\n HAS_SIZE\n OR\n CON", " CONTAINS_QUANTITY", " SIZE_OF_CONTAINER", " IS_PRODUCT_OF", " CREATED_BY", " INSPIRED_BY", " INSPIRED_BY", " INGREDIENT", " SENT_QUANTITY_OF\n or\n PRODUCED\n ", " INGREDIENT", " SELF_MANUFACTURED_FOR", " CONTAINS\n\n Explanation:\n The text states that the 8", " CONTAINS\n\n Explanation:\n The text states that the soap is", " GIVES\n\n Explanation:\n The text states that \"I made", " GIVES\n\n Explanation:\n The text states that \"Bub" ]

[ [ "6", "7", "ORG", "Menthol" ], [ "21", "22", "PERSON", "Bubbles" ], [ "26", "27", "PRODUCT", "Menthol" ], [ "38", "39", "NORP", "italian" ], [ "66", "68", "QUANTITY", "4oz" ], [ "102", "104", "QUANTITY", "4oz" ], [ "107", "109", "QUANTITY", "8oz" ], [ "119", "120", "CARDINAL", "half" ] ]

[ "Coach unveils “Holiday Is Where You Find It,” its message for the 2020 holiday season, starring global faces of the house Jennifer Lopez and Michael B. Jordan with their families, as well as ambassadors Kiko Mizuhara, Jeremy Lin and Yang Zi and other members of the Coach Family.\nCreated during the\nThe new holiday campaign features Coach girl Selena Gomez as she embarks on a festive night of celebrations. Surrounded by Coach gifts, Gomez is pictured in the back of a vintage Plymouth Fury, as it careens across town with the glittering lights of New York\nChannel your glamorous self with these fabulous pieces perfect for night time soirees. From the inspiring look of Marc Jacob’s a la ‘40s ensemble to the highly sophisticated flair of a Carolina Herrera number, there are plenty of stylish choices. Add more drama to your" ]

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[ " CREATED_BY", " PRODUCES", " STARS_IN", " STARS_IN", " MEMBER_OF", " AMBASSADOR", " MEMBER_OF", " CAMPAIGN_FOR\n\n Explanation:\n The text mentions", " STARS_IN", " CAMPAIGN_FOR\n\n Explanation:\n The text describes Coach", " CAMPAIGN_FOR\n\n Explanation:\n The text mentions", " STARS_IN", " THEME_OF \n\n Explanation:\n The text describes a Coach", " CITY_OF\n\n Explanation:\n The text mentions \"the", " DESIGNED_BY", " INSPIRED_BY", " COMPARISON", " CAMPAIGNED_FOR", " STARS_IN", " STARS_IN", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " CAMPAIGNED_FOR", " SUBJECT_OF\n\n Explanation:\n The text describes the Coach holiday", " CAMPAIGNED_FOR", " SUBJECT_OF\n\n Explanation:\n The text describes the \"Hol", " FEATURED_IN", " SET_IN.", " INSPIRED_BY", " INSPIRED_BY", " CAMPAIGN_FOR\n\n Explanation:\n The text mentions", " STARS_IN", " STARS_IN", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " CAMPAIGN_FOR\n\n Explanation:\n The text states that", " SUBJECT_OF\n\n Explanation:\n The head entity \"the ", " CAMPAIGN_FOR\n\n Explanation:\n The text states that", " SUBJECT_OF\n\n Explanation:\n The head entity \"the ", " CAR_MODEL_OF\n\n Explanation:\n The text ment", " SET_IN\n\n Explanation:\n The text mentions that the Coach", " INSPIRED_BY", " PROVIDES_STYLE_FOR\n\n Explanation:\n The text", " FACES_OF.\n Or, if you prefer:\n CELEBR", " STARS_IN", " STARS_IN\n\n Entities: \n [{'head': ['", " STARS_IN\n\n Entities: \n [{'head': ['", " STARS_IN\n\n Explanation:\n Jennifer Lopez stars", " CO-STARS_IN", " CO-STAR\n\n Explanation:\n Jennifer Lopez and Yang", " FACE_OF\n\n Entities: \n [{'head': ['2", " STARS_IN\n\n Explanation:\n Jennifer Lopez is", " CELEBRATES_AT", " FACES_OF\n or\n CELEBRITY_ENDORSERS\n", " STARS_IN\n\n Explanation:\n Jennifer Lopez is", " IN_VEHICLE", " IN_CITY", " DESIGNED_BY", " INSPIRED_BY", " DESIGNED_BY", " STARS_IN\n\n Entities: \n [{'head': ['", " STARS_IN", " STARTS_ON", " STARS_IN\n\n Explanation:\n Michael B. Jordan stars", " STARS_IN\n\n Explanation:\n Michael B. Jordan stars", " CO-STARS", " AMBASSADOR_OF", " STARS_FOR\n\n Explanation:\n Michael B. Jordan is", " STARS_IN\n\n Explanation:\n Michael B. Jordan stars", " CELEBRATES\n\n Explanation:\n Michael B. Jordan is", " STARS_FOR\n\n Explanation:\n Michael B. Jordan is", " STARS_IN", " DRIVES", " CARRIES_THROUGH\n\n Explanation:\n Michael", " DESIGNED_BY", " INSPIRED_BY", " PROVIDES_FOR\n\n Explanation:\n Michael B. Jordan is a", " AMBASSADOR", " STARS_IN", " PART_OF", " FAMILY_MEMBER_OF", " AMBASSADOR_OF", " AMBASSADOR_OF", " AMBASSADOR_OF", " AMBASSADOR", " OTHER_PERSON", " PARTI_OF", " AMBASSADOR", " MEMBER_OF", " RIDES_IN (or is a passenger in)", " LOCATION_OF\n\n Explanation:\n Kiko Mizuh", " DESIGNED_BY", " INSPIRED_BY", " DESIGNER_FOR\n\n Explanation:\n Kiko Mizuh", " ATHLETE_OF\n\n Explanation:\n Jeremy Lin is an ath", " AMBASSADOR_OF.", " PARTICIPANT_IN", " STARS_IN\n\n Explanation:\n Jeremy Lin stars in the", " FRIEND\n\n Explanation:\n The text mentions that Jeremy Lin", " AMBASSADOR_OF\n\n Explanation:\n The text ment", " AMBASSADOR_OF", " ATHLETE_OF\n\n Explanation:\n Jeremy Lin is an ath", " NO_RELATION", " EVENT_STARTS_TIME", " ATHLETE_OF\n\n Explanation:\n Jeremy Lin is an ath", " NO_RELATION", " DRIVES", " IN_CITY", " INSPIRED_BY", " INSPIRED_BY", " PROVIDES_FOR\n\n Explanation:\n Jeremy Lin is a person who", " AMBASSADOR", " FACES_OF\n or\n STARS_IN\n or\n", " PARTICIPANT_IN", " STARS_IN\n\n Explanation:\n In the text, Yang", " FAMILY_MEMBER", " FAMILY_MEMBER_OF", " CO-STAR\n\n Explanation:\n The text mentions that Yang", " AMBASSADOR", " STARS_IN\n\n Explanation:\n In the context, Yang", " CELEBRATES_AT", " AMBASSADOR", " OTHER_PERSON", " RIDES_IN (Yang Zi, Plymouth)", " IN_CITY", " INSPIRED_BY", " INSPIRED_BY", " MODEL_FOR\n\n Explanation:\n In the context, Yang", " UNKNOWN\n\n Explanation:\n The text does not provide enough context", " CREATED_BY", " UNVEILS_DATE", " STARS_IN", " STARS_IN", " MEMBER_OF", " AMBASSADOR", " MEMBER_OF", " STARS_IN", " CAMPAIGNED_FOR\n or\n PROMOTED\n\n ", " CAMPAIGN\n\n Explanation:\n The text describes Coach unve", " STARS_IN", " The 'Coach' campaign features a 'Plymouth' (vehicle).\n ", " LOCATION_OF\n\n Explanation:\n The text states that \"", " DESIGNED_BY", " INSPIRED_BY", " DIFFERENT_FROM", " FACE_OF", " SUBJECT_OF\n\n Explanation:\n The text describes Selena G", " CELEBRATES\n\n Explanation:\n Selena Gomez", " STARS_IN\n\n Explanation:\n Selena Gomez", " STARS_IN\n\n Explanation:\n Selena Gomez", " CO-STARS_IN\n\n Explanation:\n Selena G", " CO-STAR\n\n Explanation:\n Selena Gomez and", " OTHER_PERSON", " FACES_OF\n or\n ENDORSER\n or\n CE", " CELEBRATES_AT", " FACES_OF\n or\n ENDORSER\n or\n CE", " SELF_REFERENCE", " IN_VEHICLE", " IN_CITY", " INSPIRED_BY", " INSPIRED_BY", " WEARS\n\n Explanation:\n Selena Gomez wears", " CAMPAIGNED_FOR", " CELEBRATES", " STARS_IN", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " CAMPAIGNED_FOR", " CELEBRATES", " CAMPAIGNED_FOR", " CELEBRATES", " MOVE_VEHICLE", " LOCATION.IN.LOCATION", " INSPIRED_BY", " STYLES_FROM\n\n Explanation:\n The text mentions that", " UNKNOWN\n\n Explanation:\n The text does not provide enough context", " CREATED_BY", " UNVEILS_DATE", " STARS_IN", " STARS_IN", " MEMBER_OF", " AMBASSADOR", " MEMBER_OF", " CAMPAIGN_FOR\n\n Explanation:\n The text mentions", " STARS_IN", " CAMPAIGNED_FOR\n\n Explanation:\n The text ment", " STARS_IN", " The new holiday campaign features a vintage Plymouth (NO_RELATION)\n\n ", " LOCATION_OF\n OR\n NO_RELATION", " DESIGNED_BY", " INSPIRED_BY", " DIFFERENT_FROM", " FACE_OF", " CAMPAIGN_MEMBER", " CELEBRATES\n\n Explanation:\n The text states that \"", " STARS_IN\n\n Explanation:\n Jennifer Lopez is", " STARS_IN\n\n Explanation:\n Michael B. Jordan is", " CO-STAR\n\n Explanation:\n In the text, it is", " CO-STARS", " OTHER_PERSON", " FACE_OF", " SUBJECT_OF\n\n Explanation:\n The text describes Selena G", " CELEBRATES\n\n Explanation:\n The text describes Selena", " FACES_OF\n or\n BRAND_AMBASSADOR", " IN_VEHICLE", " IN_CITY", " INSPIRED_BY", " INSPIRED_BY", " CARRIES_FOR\n\n Explanation:\n The text mentions", " VEHICLE_OF\n\n Explanation:\n The text ment", " FEATURED_IN", " VEHICLE_OF\n\n Explanation:\n The text ment", " TRANSPORTS", " RIDE_IN_VEHICLE", " STARS_IN\n\n Explanation:\n The text mentions that", " IN_VEHICLE", " IN_VEHICLE", " VEHICLE_OF\n\n Explanation:\n The text ment", " TRANSPORTS", " TRANSPORTS", " VEHICLE_OF\n\n Explanation:\n The text ment", " IN_VEHICLE", " CARRIES_THROUGH\n\n Explanation:\n The", " INSPIRED_BY", " VINTAGE_OF\n\n Explanation:\n The text mentions a", " VEHICLE_OF\n\n Explanation:\n The text ment", " LOCATION_OF\n or\n HEAD_QUARTERS_OF\n", " SETTING", " BELONGS_TO", " IN_CITY", " IN_CITY", " IN_CITY", " IN_CITY", " IN_LOCATION", " LOCATION_OF", " IN_CITY", " CITY_OF_LOCATION\n\n Explanation:\n The entities represent", " LOCATION_OF\n OR LOCATED_IN (both are valid for this", " IN_CITY", " CARRIES", " IN_CITY", " BACKGROUND_OF\n or\n LOCATION_OF\n or", " LOCATION_OF\n or\n PRODUCED_BY\n or", " DESIGNER_FOR\n\n Explanation:\n The text mentions \"", " CREATED_BY", " THEME_OF\n\n Explanation:\n The text describes Marc Jacob'", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " INSPIRED_BY", " DESIGNER_FOR\n\n Explanation:\n The text mentions \"", " DESIGNED_BY", " INSPIRING_LOOK_FOR_TIMEPERIOD", " DESIGNED_BY", " DESIGNED_BY", " DESCRIBES\n\n Explanation:\n Marc Jacobs' ensemble DES", " IN_CITY", " INSPIRED_BY", " DESIGNED_BY", " INSPIRED_BY", " INSPIRED_BY", " STARRED_IN", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " VINTAGE_OF\n\n Explanation:\n The entities represent the phrases", " TEMP_LOCATION_IN\n\n Explanation:\n The entities represent", " INSPIRED_BY", " INSPIRED_BY", " STYLES_FROM\n\n Explanation:\n The text mentions that", " FEATURED_IN", " CAMPAIGNED_FOR\n\n Explanation:\n The text ment", " DESIGNED_BY", " STARS_IN\n\n Explanation:\n Michael B. Jordan is", " DESIGNER_OF\n\n Explanation:\n The text mentions that", " NO_RELATION", " DESIGNED_BY", " STYLES_FROM\n\n Explanation:\n The text mentions that", " DESIGNED_BY", " PROVIDES_FOR\n\n Explanation:\n The text mentions that there", " STYLES_FROM\n\n Explanation:\n The text mentions that", " DESIGNED_BY", " NO_RELATION", " LOCATION_OF\n OR LOCATED_IN (Both are valid for", " DESIGNED_BY", " INSPIRED_BY" ]

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[ "Alicia and Rafa talk to Andy and Lynda Gail Wright owners of Makeup and Creative Arts (MCA). This year MCA will host the fifth annual “Straight Men – Real Makeup,” benefit to raise money for the onePULSE Foundation.\nStraight Men Real Makeup – 6 p.m. on Sunday, June 6 at HÄOS on Church. Presented by Makeup and Creative Arts and Morphstore.com. Eight straight men will step out of their comfort zone and individually perform a choreographed routine to a song of their choice while dressed in full drag.\nClick Here for Tickets.\nDonate to OnePulse Foundation: https://onepulsefoundation.org/donate/\nMCA : https://makeupca.com/" ]

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[ " TALK_TO", " TALK_TO", " OWNER", " SPEAKS_FOR\n or\n ORGANIZED_BY", " SPEAKS_FOR\n\n Explanation:\n Alicia speaks for", " EVENT_STARTS_YEAR", " SPEAKS_FOR\n\n Explanation:\n Alicia speaks for", " MCA_HAS_EVENT\n (Note: The entities are indexed in the text", " HOSTS", " SUPPORTS", " EVENT_STARTS_AT.", " EVENT_DATE", " HOSTS", " SPEAKS_TO\n or\n CONTACTS\n or\n ", " PRESENTED_BY", " TALK_TO\n\n Explanation:\n Alicia talks to", " SUPPORTS", " TALK_TO", " TALK_TO", " OWNER", " SPEAKS_FOR\n or\n REPRESENTS\n or\n", " SPEAKS_FOR\n\n Explanation:\n Rafa and Alic", " YEARS_AGO", " SPEAKS_FOR\n\n Explanation:\n Rafa and Alic", " FIFTH_ANNUAL", " HOSTS", " SUPPORTS", " EVENT_STARTS_AT.", " EVENT_DATE", " PRESENTS_AT.", " SPEAKS_TO\n or\n CONTACTS\n or\n ", " PRESENTED_BY", " PERFORMS\n\n Explanation:\n Rafa and Alicia are", " SUPPORTS", " SPEAKS_WITH", " TALK_TO", " OWNER", " OWNER", " OWNER", " EVENT_STARTS_YEAR", " OWNER", " FIFTH_ANNUAL", " ANNUAL_EVENT_OF", " SUPPORTS", " EVENT_STARTS_AT.", " EVENT_DATE", " LOCATION.\n\n Entities: \n [{'head': ['5", " OWNER", " PRESENTED_BY", " EIGHT_PERFORMERS_OF_EVENT\n OR\n EVENT_HAS_", " SUPPORTS", " SPEAKER", " OWNER", " OWNER", " OWNER", " OWNER", " OWNED_BY", " OWNER", " FIFTH_ANNUAL", " OWNER_OF", " OWNER", " HOSTS", " HOSTS", " HOSTS", " OWNER", " PRESENTED_BY", " OWNERS_OF", " OWNER", " SPEAKER", " SPEAKER", " OWNER", " OWNER", " SAME_AS", " HAS_EVENT_YEAR", " SAME_ORGANIZATION", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " SAME_ORGANIZATION", " PRESENTED_BY", " HOSTS", " SUPPORTS", " SPEAKS_WITH", " SPEAKER", " OWNER", " OWNER", " IDENTICAL", " HOSTED_BY", " SAME_ORGANIZATION", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " IDENTICAL", " PRESENTED_BY", " HOSTS", " SUPPORTS", " DISCOVERED_EVENT_OCCURS_AT_TIME", " TALK_TO", " EVENT_STARTS_WITH\n\n Entities: \n [{'head':", " OWNER", " HOSTS", " HOSTS", " HOSTS", " SUPPORTS", " HOSTS", " HOSTS", " PRESENTED_BY", " SUPPORTS", " SPEAKER", " SPEAKS_WITH", " OWNER", " OWNER", " IDENTICAL", " ORG_IDENTICAL_TO", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " IDENTICAL", " PRESENTED_BY", " HOSTS", " HOSTS", " ORGANIZES", " ORGANIZES", " HOSTS", " OWNER", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " PRESENTED_BY", " HOSTS", " ORGANIZES", " TALKS_TO", " HOSTS", " OWNER", " HOSTS", " HOSTS", " HOSTS", " FUNDRAISER_FOR", " HOSTS", " HOSTS", " PRESENTED_BY", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " OWNER", " HOSTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " BENEFITS\n\n Or, if no relation exists:\n\n NO_", " EVENT_DATE", " HOSTS", " SUPPORTS", " SPONSOR", " RECIPIENT_OF_FUNDS", " SUPPORTS", " TALKS_TO", " TALK_TO", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " BENEFITS", " HOSTS", " HOSTS", " PRESENTED_BY", " BENEFITS", " DISCUES_EVENT_WITH", " TALK_TO", " EVENT_HOSTS_PERSON", " OWNER", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " LOCATION", " HOSTS", " PRESENTED_BY", " BENEFITS", " HOSTS", " PRESENTED_BY", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF\n Or, if you prefer, HOSTED_AT.", " HOSTS", " PRESENTED_BY", " HOSTS", " HOSTS", " SPEAKER", " SPEAKS_TO", " HOSTED_BY", " OWNER", " ORG_OWNED_BY\n ORG_IDENTICAL_TO (if", " SAME_ORGANIZATION", " HOSTED_BY", " IDENTICAL", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " PRESENTED_BY", " HOSTS", " HOSTS", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " SUPPORTS", " PRESENTED_BY", " PRESENTS", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_BY", " SPONSOR", " ORGANIZES", " PARTICIPANT_IN", " ORGANIZES", " OWNERS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " PRESENTED_BY", " HOSTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " OWNER", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " ORG_NAME_SAME\n\n Explanation:\n The text states", " BENEFIT_FOR", " BENEFIT_FOR", " HOSTS", " SUPPORTS", " SPONSOR", " RECEIVES_SUPPORT" ]

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[ "The podcast you love is back after 11 years\nThe Whole Shebang podcast is a creation of a mother and her two daughters. Shelley, the mom, lives in Michigan; Jen, the elder daughter in Santa Fe; and Cait, the younger daughter, in Chicago. These three ladies have always explored and chatted about any and all subjects. Family and friends enjoyed these exchanges so for fun Jen, Cait, and Shelley decided to share with whomever their thoughts on the whole shebang.\nThe podcasts are weekly and consist of three subjects chosen by the host (a duty that rotates amongst the three) and a wrap-up enrichment or enragement section in which all three choose something from that week that they want to share that either pleases or annoys them.\nSubscribe to get full access to the podcast and website. Never miss an episode." ]

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[ " BACK_FROM_ABSENCE", " ORIGIN_FROM", " BROADCASTS_FROM\n or\n HOSTED_BY\n ", " JEN_LIVES_IN\n or\n JEN_IS_FROM", " BACK_FROM_ABSENCE", " Cait_lives_in Chicago.", " BROADCASTS_FROM\n or\n HOSTED_BY\n ", " BACK_FROM_ABSENCE", " BACK_FROM_ABSENCE", " MOTHER_OF", " LIVES_IN", " SISTER", " elder_daughter\n\n Explanation:\n The text states that Jen lives", " LIVES_IN. The relation between the head (two) and the tail (C", " Cait --> Chicago (Younger daughter lives in)", " DAUGHTER_OF", " LIVES_IN. The relation between the head (two) and the tail (C", " MOTHER_OF", " BACKGROUND_EVENT_STARTED_AGO", " ONE_OF_MANY\n or\n PARENT_OF\n or", " LIVES_IN", " MOTHER_OF", " LIVES_IN", " MOTHER_OF", " LIVES_IN", " FAMILY_MEMBER_OF\n\n Explanation:\n Shel", " MOTHER_OF", " MOTHER_OF", " SELF", " The podcast is weekly (for Shelley).", " CREATED_BY", " FAMILY_MEMBER_OF\n\n Explanation:\n Shel", " FAMILY_MEMBER_OF\n or\n PARENT_OF", " DISCUSSION_TOPIC", " BACKGROUND_EVENT_STARTED_AGO\n or\n ORIG", " Shelley.lives_in.Michigan\n NO_RELATION\n ", " LIVES_IN", " LIVES_IN", " Shelley lives in Michigan (head) and Jen is in Santa Fe (tail).\n ", " LIVES_IN", " Shelley_lives_in Michigan\n Jen_lives_in Chicago\n\n", " Shelley lives in Michigan. (GPE, CARDINAL)\n The relation", " LIVES_IN", " LIVES_IN", " LIVES_IN", " ORIGIN_IN\n\n Explanation:\n The text states that Shel", " Shelley lives in Michigan. (GPE, CARDINAL)\n The relation", " ONE_OF_MANY\n Shelley lives in Michigan, and Michigan is ONE_", " ONE_OF_MULTIPLE\n Shelley lives in ONE_OF_M", " TIME_IN_REGION", " BACKGROUND_EVENT_STARTED_AGO\n or\n PRE", " SISTER", " MOTHER_OF", " LIVES_IN", " LIVES_IN", " SISTER", " LIVES_IN", " SIBLING", " SISTER", " SISTER", " MOTHER_OF", " CONSIST_OF", " SIBLING", " SIBLING", " SIBLING", " DISCUSSION_TOPIC", " BACKGROUND_EVENT_STARTED_AGO", " elder_daughter\n\n Explanation:\n The text states that Jen is", " LIVES_IN", " Jen_lives_in > Michigan < Shelley\n or\n Shelley_", " LIVES_IN", " LIVES_IN", " SISTER_OF", " ONE_OF_MANY\n or\n PART_OF\n or\n ", " LIVES_IN", " LIVES_IN", " LIVES_IN", " LOCATION_OF\n or\n FREQUENCY_IN\n\n", " ONE_OF_MANY\n or\n PART_OF\n or\n ", " ONE_OF_MANY\n or\n PART_OF\n or\n ", " ONE_OF_MANY\n or\n PART_OF\n or\n ", " TIME_IN_EVENT", " AFTER_EVENT", " SIBLING", " MOTHER_OF", " Cait-LIVES-IN Michigan", " SISTER", " LIVES_IN", " LIVES_IN", " SIBLING_OF\n\n Explanation:\n The text states that", " SISTER", " SAME_PERSON", " MOTHER_OF", " HAS_FREQUENCY", " CHILDREN_OF\n or\n SIBLINGS\n\n Ex", " CHILDREN_OF\n or\n NUM_SIBLINGS\n ", " CHILDREN_OF\n or\n SIBLINGS\n or\n", " DISCUSSION_TOPIC", " BACKGROUND_EVENT_STARTED_AGO", " CITY_OF_RESIDENCE\n\n Explanation:\n The text", " LIVES_IN", " CAUSES_RESIDENCE_OF", " LOCATION_OF\n or\n NO_RELATION (if 'Jen", " CITY_OF_RESIDENCE\n\n Explanation:\n The text", " LOCATION_OF\n or\n NO_RELATION (if 'Cait", " CITY_OF_RESIDENCE\n\n Explanation:\n The text", " LOCATION_OF\n or\n NO_RELATION (if 'Jen", " LOCATION_OF\n or\n NO_RELATION (if 'Chicago", " LIVES_IN", " LOCATION_OF\n or\n FREQUENCY_IN\n ", " CITY_OF_RESIDENCE\n\n Explanation:\n The text", " ONE_OF_MANY\n or\n PART_OF\n or\n ", " CITY_OF_RESIDENCE\n\n Explanation:\n The text", " TIME_IN_CITY", " FAMILY_MEMBER", " LIVES_IN", " DAUGHTER_OF", " ONE_OF_THREE\n or\n LIVES_IN\n or", " CHILD_OF", " ONE_OF_MANY\n or\n LOCATION_OF\n or", " DAUGHTER_OF", " CHILD_OF", " FAMILY_MEMBER", " BACKGROUND\n or\n STARTED\n or\n HAS", " SISTER", " MOTHER_OF", " LIVES_IN", " SISTER", " LIVES_IN", " SISTER", " LIVES_IN", " SIBLING", " SISTER", " MOTHER_OF", " CONSIST_OF", " SIBLING", " SISTER_OF", " SIBLING", " DISCUSSION_TOPIC", " AFTER_EVENT", " SIBLING", " MOTHER_OF", " Cait_lives_in Michigan", " SISTER", " LIVES_IN", " SAME_PERSON", " LIVES_IN", " CHILDREN_OF\n or\n SIBLINGS\n or\n", " SISTER", " MOTHER_OF", " HAS_FREQUENCY", " CHILDREN_OF\n or\n NUM_SIBLINGS\n\n", " CHILD_OF\n or\n NUM_CHILDREN\n\n ", " CHILD_OF\n\n Explanation:\n The text states that Cait", " DISCUSSION_TOPIC", " BACK_FROM_ABSENCE\n OR\n RETURNED_AFTER", " MOTHER_OF\n\n Entities: \n [{'head': ['", " SELF", " LIVES_IN", " MOTHER_OF", " LIVES_IN", " MOTHER_OF", " LIVES_IN", " CREATED_BY", " MOTHER_OF", " MOTHER_OF", " CREATES\n OR:\n HOSTS\n OR:\n ", " CREATED_BY", " FAMILY_MEMBER_OF\n or\n PARENT_OF", " FAMILY_MEMBER_OF\n or\n PARENT_OF", " DISCUSSION_TOPIC", " CREATES \n or\n HOSTS \n or\n ", " LIVES_IN", " CHOOSES", " ONE_OF_THREE_RESIDES_IN", " CHOOSES", " Cait_lives_in Chicago.", " CHOOSES", " CHOOSES", " CREATES", " CREATED_BY", " LIVES_IN", " DAUGHTER_OF", " ONE_OF_MANY\n or\n LOCATION_OF\n or", " CHILD_OF", " CITY_OF_RESIDENCE", " SIBLING", " CHILD_OF", " CREATED_BY", " CREATED_BY", " Shelley lives in Michigan.", " SIBLING", " ONE_OF_MANY\n or\n LOCATION_OF\n or", " CHILD_OF", " ONE_OF_MANY\n or\n LOCATION_OF\n or", " SIBLING", " CHILD_OF", " CREATED_BY", " CREATED_BY", " LIVES_IN", " CHILD_OF", " ONE_OF_MANY\n or\n LOCATION_OF\n or", " CHILD_OF", " ONE_OF_THREE\n or\n LIVES_IN\n or", " SIBLING", " CHILD_OF", " FAMILY_MEMBER", " CHOOSES", " SHELLEY_LIVES_IN", " CHOOSES", " Jen_lives_in Santa Fe.", " CHOOSES", " Cait_is_located_in_Chicago.", " CHOOSES", " CHOOSES", " CHOOSES" ]

[ [ "7", "9", "DATE", "11 years" ], [ "22", "23", "CARDINAL", "two" ], [ "25", "26", "PERSON", "Shelley" ], [ "32", "33", "GPE", "Michigan" ], [ "34", "35", "PERSON", "Jen" ], [ "40", "42", "GPE", "Santa Fe" ], [ "44", "45", "PERSON", "Cait" ], [ "51", "52", "GPE", "Chicago" ], [ "54", "55", "CARDINAL", "three" ], [ "76", "77", "PERSON", "Jen" ], [ "78", "79", "PERSON", "Cait" ], [ "81", "82", "PERSON", "Shelley" ], [ "98", "99", "DATE", "weekly" ], [ "102", "103", "CARDINAL", "three" ], [ "115", "116", "CARDINAL", "three" ], [ "129", "130", "CARDINAL", "three" ], [ "133", "135", "DATE", "that week" ] ]

[ "Pregnant Women Urged To Seek Pharmacists’ Advice\nPregnant women needing non-steroidal anti-inflammatory drugs have been urged to go to a pharmacy and seek professional advice from a pharmacist before making such purchases.\nNational President of the Pharmaceutical Society of Australia, Grant Kardachi, made the plea following the release of research today warning that women more than double the risk of having a miscarriage by taking any amount of a NSAID.\nThe new study, published in the Canadian Medical Association Journal (CMAJ), examined a number of commonly-used NSAIDs, including ibuprofen, and found that women who took any type, and any dose, of NSAID had a 2.4 times higher risk of miscarriage than women who did not use NSAIDs.\nFor full content, please refer to the resource!" ]

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[ " NATIONAL_PRESIDENT", " RELEASED_RESEARCH", " PUBLISHED_IN", " PUBLISHED_IN", " STUDY_FOUND_RISK_FACTOR", " NAMED_ENTITY_PART_OF\n or\n ORGANIZ", " SPEAKS_ON\n\n Explanation:\n Grant Kardachi spoke", " PUBLISHED_IN", " PUBLISHED_IN", " WARNS_OF_RISK_FACTOR", " PRESSED (requested or urged someone to do something)", " MADE_APPEAL", " PUBLISHED_IN", " PUBLISHED_IN", " PUBLISHED_IN", " PUBLISHED_BY", " PUBLISHED.", " PUBLISHED_IN", " PUBLISHED_STUDY_WITH_RESULTS", " PUBLISHED_BY", " PUBLISHED_BY", " PUBLISHED_ON", " PUBLISHED_IN", " PUBLISHED_STUDY_WITH_RESULTS", " PUBLISHED_BY", " PUBLISHED_BY", " PUBLISHED_IN", " PUBLISHED_IN" ]

[ [ "43", "48", "ORG", "the Pharmaceutical Society of Australia" ], [ "48", "51", "PERSON", ", Grant Kardachi" ], [ "60", "61", "DATE", "today" ], [ "88", "93", "ORG", "the Canadian Medical Association Journal" ], [ "94", "95", "ORG", "CMAJ" ], [ "126", "127", "CARDINAL", "2.4" ] ]

[ "We were unable to find exact matches based on your search for\n\"an open letter to the party jacek kuron karol modzelewski\".\nClosest match to your search\n385877,Ile-de-France Seine-et-Marne Melun Chateau...\nOpen Season (Widescreen Special Edition)\nA Letter for Tiger\nCaillou Sends a Letter\nTry again, but check your spelling, or use fewer search terms.\nIf we don't have it today, create a 'Want' and receive an automated email when the item is listed for sale.\nFind books from over 100,000 booksellers worldwide, for easy searches and price comparison." ]

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[ " NO_RELATION", " SEARCH_RESULT_FOR_DATE", " MATCH_FOUND_WITH_NUM_RESULTS", " SENT_LETTER_TO", " NO_RELATION", " MANY_TO_MANY_BOOKS_FOR_SALE_BY_", " SEARCH_RESULT_FOR\n or\n MENTIONED_IN\n ", " CREATED_BY", " MATCH_FOUND_FOR_PERSON_IN_BOOKS_FROM_", " BOOK_SELLER_FOR\n or\n BOOK_SELLERS" ]

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[ "1965. A foggy morning in a drowsy little beach town 40 miles south of LA. Fourteen-year-old Molly dutifully walks her bike across the street on the way to school. A naked pervert jumps out of the oleander bushes and asks if she’d like to touch his “friend.”\nMolly’s single, working mom, Kelly, realizes she can no longer always protect her daughter so she arranges for Molly to attend a Catholic girl’s boarding school in Pasadena.\n“Educating Mallie” is a coming-of-age story about both Molly and Kelly. Mother and daughter both face the challenges of Molly’s safety and sexual awakening. Along with this is the single mother’s realization that her child is becoming an adult and needs protection and guidance a mother may not always be able to provide." ]

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[ " LOCATION_NEAR.", " BACKGROUND", " BACKGROUND", " BACKGROUND", " BACKGROUND", " LOCATION_NEAR.", " BACKGROUND", " BACKGROUND", " BACKGROUND", " LOCATION_NEAR.", " TIME_OF_EVENT", " TIME_OF_EVENT", " EVENT_STARTED_FOR\n or\n CAUSED_BY\n\n Ex", " TIME_OF_EVENT", " LOCATION_NEAR.", " TIME_OF_EVENT", " PROTECTOR_OF", " EVENT_STARTS\n\n Entities: \n [{'head': ['1", " SOUTH_OF", " LOCATION_NEARBY", " LOCATION_NEARBY", " LIVES_X_MILES_FROM", " LOCATION_NEARBY", " SOUTH_OF", " LOCATION_NEARBY", " LIVES_X_MILES_FROM", " LOCATION_NEARBY", " LOCATION_NEAR.", " LOCATION_PREPOSITION_OF\n\n Entities: \n [", " SOUTH_OF", " LOCATION_NEAR.", " LOCATION_NEAR.", " LOCATION_NEAR.", " LOCATION_NEAR. This is a valid relation for the given context, as the", " LOCATION_NEAR.", " SOUTH_OF", " SOUTH_OF", " LOCATION_NEAR.", " LOCATION_NEAR.", " LOCATION_NEAR. This is a valid relation, but it is not explicitly stated", " LOCATION_NEAR. This is because the text states that the beach town is ", " SOUTH_OF", " CHILD_OF", " AGES_OF_PERSONS", " PARENT_OF", " AGES_OF_PERSONS", " LOCATION_OF\n\n Explanation:\n The text describes Molly attending", " AGES_OF_PERSONS", " PARENT_OF", " AGENT_OF\n\n Entities: \n [{'head': ['1", " BIRTH_YEAR_OF_HEAD_ENTITY_PRECEDES_", " EVENT_STARTS\n\n Entities: \n [{'head': ['1", " LOCATION_QUANTITY", " SOUTH_OF", " AGES_FROM", " SELF", " PARENT_OF", " SELF", " ATTENDS\n\n Explanation:\n The text describes Molly attending a", " ATTENDS_AT", " SUBJECT_OF", " SELF", " PARENT_OF", " SELF", " BACKGROUND_EVENT", " EVENT_STARTS\n\n Entities: \n [{'head': ['1", " LOCATION_NEARBY", " LOCATION_NEAR.", " AGES_FROM", " SELF", " PARENT_OF", " SELF_REFERENCE", " ATTENDS\n\n Explanation:\n The text describes Molly attending a", " ATTENDS_AT", " SUBJECT_OF", " SELF", " PARENT_OF", " SELF", " BACKGROUND_EVENT", " SETTING.\n\n Entities: \n [{'head': ['14", " DISTANCE_FROM.", " LOCATION_NEARBY", " PARENT_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " ARRANGES_FOR", " PROTECTS_AT_LOCATION", " AUTHOR_OF", " PARENT_OF", " SELF", " PARENT_OF", " BIRTH_YEAR_OF_PERSON", " EVENT_STARTS_AT_TIME", " LOCATION_NEARBY", " LOCATION_NEAR.", " AGE_OF_HEAD_ENTITY_IS\n\n Entities: \n", " SELF", " SELF", " PARENT_OF", " ATTENDS\n\n Explanation:\n The text describes Molly attending a", " ATTENDS_AT", " SUBJECT_OF", " SELF", " PARENT_OF", " SELF", " SOUTH_OF", " EDUCATES", " EDUCATES", " 'is_parent_of'", " EDUCATES", " LOCATION_OF\n or\n ESTABLISHED_AT\n", " EDUCATES", " 'is_parent_of'", " EDUCATES", " LOCATION_NEAR. This is because the text states that Pasadena is ", " LOCATION_PRECEDES_TIME", " NORTH_OF", " SOUTH_OF", " LOCATION_OF\n\n Explanation:\n The text describes Pasad", " LOCATION_OF\n or\n LOCATION_FOR\n or\n", " LOCATION_OF\n or\n LOCATION_FOR\n or\n", " LOCATION_OF\n or\n RESIDES_AT\n or\n", " LOCATION_OF\n or\n LOCATION_FOR\n or\n", " LOCATION_OF\n or\n ESTABLISHED_AT\n", " LOCATION_OF\n\n Explanation:\n The text describes Pasad", " LOCATION_OF\n\n Explanation:\n The text describes Pasad", " PROTECTOR_OF", " LOCATION_OF\n or\n LOCATION\n\n Explanation", " LOCATION_NEAR.", " SUBJECT_OF.", " SUBJECT_OF.", " AUTHOR_OF\n\n Explanation:\n The text mentions that '", " SUBJECT_OF.", " LOCATION_OF", " SUBJECT_OF.", " AUTHOR_OF\n\n Explanation:\n The text describes 'Educ", " SUBJECT_OF.", " EVENT_DATE", " EVENT_STARTS\n\n Entities: \n [{'head': ['1", " LOCATION_NEAR.", " SOUTH_OF", " AGES_FROM", " SELF_REFERENCE", " SELF", " PARENT_OF", " SELF", " ATTENDS\n\n Explanation:\n The text describes Molly attending a", " ATTENDS_AT", " SUBJECT_OF.", " PARENT_OF", " SELF_REFERENCE", " BACKGROUND", " SETTING.\n\n Entities: \n [{'head': ['11", " DISTANCE_FROM.", " LOCATION_NEARBY", " PARENT_OF", " PARENT_OF", " PARENT_OF", " SELF", " PARENT_OF", " ARRANGES_FOR", " ARRANGES_FOR", " AUTHOR_OF", " PARENT_OF", " PARENT_OF", " EVENT_DATE", " EVENT_STARTS_AT_TIME", " LOCATION_NEAR.", " SOUTH_OF", " AGE_OF_PERSON", " SELF_REFERENCE", " SELF", " PARENT_OF", " SELF", " ATTENDS\n\n Explanation:\n The text describes Molly attending a", " ATTENDS_AT", " SUBJECT_OF.", " SELF_REFERENCE", " PARENT_OF" ]

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[ "Winter Has Arrived — Lets Go Play in the Snow!\nFinally, winter has arrived and has no plans of leaving. With snow in Salida and Buena Vista, as well as up high on Monarch Mountain, we are stoked to see what looks to be another wet winter in Colorado.\nThe forecasters have nicknamed the current El Niño storm system “Bruce Lee” and say it is already the second-strongest on record — and we are stoked!\nBig winters in Colorado, and especially our region of the state, mean big water all summer long and that means great whitewater rafting for you and your crew. Whether you’re in for big splashes or just beautiful views, heavy winter snows help ensure both of those options for our 2016 whitewater rafting season.\nSo we say, “Bruce Lee – bring it on!”\nCheck Out The View from Monarch Mountain" ]

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[ " HAS_LOCATION\n\n Entities: \n [{'head': ['", " LOCATION_IN. For example, \"The car is in the garage.\" or \"", " SNOWS_AT", " LOCATION_IN. This relation indicates that the location (Colorado) is a location", " LOCATION_IN. This relation indicates that the location (Colorado) is a location", " NO_RELATION", " PRESENT_LOCATION", " LOCATION_IN.", " SNOWS_AT\n or\n LOCATED_AT\n or\n", " LOCATION_IN. 'winter' is located_in 'Colorado'.", " LOCATION_IN. This relation indicates that the location (Colorado) is a location", " NO_RELATION", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Explanation:\n The text states that \"", " NEAR\n\n Explanation:\n The text states that there is snow in", " SNOWS_AT", " INDICATES_EVENT_WITH_LOCATION", " LOCATION_IN\n\n Explanation:\n The text states that \"", " LOCATION_OF\n Or\n NO_RELATION (if 'El Ni", " HAS_PROPERTY\n\n Explanation:\n The text states that \"With", " LOCATION_IN\n\n Explanation:\n The text states that \"", " LOCATION_IN\n\n Explanation:\n The text mentions that", " PROVIDES_TIMEFRAME_FOR\n\n Entities: \n [{'head", " LOCATION_HAS_EVENT", " NO_RELATION", " NO_RELATION", " VIEWED_FROM", " LOCATION_OF\n Or\n NO_RELATION (if 'Buena", " LOCATION_OF\n Or\n NO_RELATION (if 'Buena", " NEAR\n\n Explanation:\n The text mentions that there is snow", " LOCATION_NEARBY", " PRECEDES", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LOCATION_OF\n or\n NO_RELATION (if 'El Ni", " SECOND_OF\n\n Explanation:\n The text states that \"Bu", " LOCATION_IN\n\n Explanation:\n The text states that \"", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LASTS_THROUGH_PERIOD", " LOCATION_OF\n Or\n NO_RELATION (if 'Buena", " IN_YEAR", " NO_RELATION", " LOCATION_OF\n or\n VIEWPOINT_OF\n or\n", " LOCATION_OF\n Or\n NO_RELATION (if 'Winter", " HAS_STARTED\n\n Explanation:\n The text states that \"", " SNOWS_AT\n\n Explanation:\n The text states that \"", " LOCATION_IN\n\n Explanation:\n The text states that there", " CAUSES\n\n Explanation:\n The text states that \"heavy", " LOCATION_IN\n\n Explanation:\n The text states that there", " CAUSES\n\n Explanation:\n The text states that \"The fore", " STRONGER_THAN", " HAS_EVENTED_IN", " LOCATION_IN\n\n Explanation:\n The text mentions that", " ENSURES", " HAS_STARTED\n\n Explanation:\n The text states that \"", " SEASON_OF\n\n Explanation:\n The text mentions that", " NO_RELATION", " VIEW_OF", " TEMP_LOCATION_HAS_TEMP_CONDITION", " LOCATION_IN\n\n Explanation:\n The text states that \"", " GIVES_RISE_TO", " CAUSES\n\n Explanation:\n The text states that \"another", " CAUSES\n\n Explanation:\n The text states that \"another", " CAUSES", " HAS_ARRIVED_WITH\n\n Explanation:\n The", " HAS_ARRIVED", " LOCATION_IN\n\n Explanation:\n The text states that \"", " LOCATION_IN\n\n Entities: \n [{'head': ['", " LOCATION_IN\n\n Explanation:\n The text states that \"", " CAUSES\n\n Explanation:\n The text states that \"Finally", " CAUSES\n\n Explanation:\n The text states that \"the current", " SECOND_STRONGEST", " PLACE_HAS_EVENT", " IN_REGION", " ENSURES", " LOCATION_HAS_TIME\n\n Explanation:\n The text states", " SEASON_OF\n\n Explanation:\n The text states that \"", " NO_RELATION", " LOCATION_OF\n or\n PRODUCES\n or\n ", " HAS_LOCATION\n\n Entities: \n [{'head': ['", " LOCATION_IN. This relation indicates that Buena Vista is a location where El", " AFFECTS", " AFFECTS", " LOCATION_IN. This text describes El Niño being in Colorado.", " NICKNAMED_BY", " HAS_PLANS\n\n Explanation:\n The text states that", " LOCATION_IN\n\n Explanation:\n The text states that \"", " STRONGER_THAN", " SECOND_STRONGEST\n OR\n SECOND_OF_RECORD", " SECOND_STRONGEST\n OR\n SECOND_OF_RECORD", " NICKNAMED_BY", " HAS_LOCATION\n\n Entities: \n [{'head': ['", " HAS_LOCATION", " HAS_LOCATION", " LOCATION_IN. 'Colorado' is the location where 'winters' occur", " LOCATION_IN. 'Colorado' is the location where 'winters' occur", " BRINGS_FORWARD\n\n Explanation:\n The text mentions", " HAS_ARRIVED", " HAS_ARRIVED_WITH\n\n Explanation:\n The", " SNOW_IN_LOCATION\n\n Explanation:\n The text", " LOCATION_IN\n\n Entities: \n [{'head': ['", " LOCATION_IN\n\n Explanation:\n The text mentions that", " CAUSES\n\n Explanation:\n The text states that \"Finally", " IN_REGION", " CAUSES\n\n Explanation:\n The text states that \"the current", " NO_RELATION", " PLACE_IN_EVENT", " ENSURES", " LOCATION_IN\n\n Explanation:\n The text states that \"", " SEASON_OF\n\n Explanation:\n The text mentions that", " NO_RELATION", " LOCATION_OF\n or\n PRODUCES\n or\n ", " PROVIDES_RESOURCE", " PROVIDES_LOCATION", " PROVIDES_RESOURCE", " CAUSES\n\n Explanation:\n The text states that \"Big win", " CAUSES\n\n Explanation:\n The text states that \"Big win", " ENSURES", " LOCATION_IN\n\n Explanation:\n The text states that \"", " LOCATION_IN. This relation indicates that Buena Vista is a location where winter", " HAS_LOCATION", " LOCATION_IN. This relation indicates that the location (Colorado) is a location", " LOCATION_IN. This relation indicates that the location (Colorado) is a location", " NICKNAMED_BY", " LOCATION_IN.", " LOCATION_IN. The text states that there is snow in Buena Vista,", " LOCATION_AT\n\n Explanation:\n The text states that \"", " LOCATION_IN. This relation indicates that the location (Colorado) is a location", " LOCATION_IN. 'Colorado' is the location where '2016", " NO_RELATION", " BRINGS_ABOUT\n\n Explanation:\n The text describes how the", " CAUSES\n\n Explanation:\n The text states that \"Bru", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF\n\n Explanation:\n The text states that '", " BRINGS_FORWARD", " CAUSES\n\n Explanation:\n The text states that \"Bru", " LOCATION_OF\n OR\n CAUSE_OF\n OR\n ", " NICKNAMED_BY", " NICKNAMED_BY", " CAUSED_BY", " LOCATION_OF\n or\n ORIGIN_IN\n\n Ex", " ENSURES", " CAUSED_BY", " ANTICIPATES", " SUBJECT_OF\n\n Explanation:\n The text mentions that '", " LOCATION_OF\n or\n VIEWPOINT_OF\n or\n", " LOCATION_IN. 'The View from Monarch Mountain' is located_in '", " VIEWED_BY\n or\n LOCATION_OF\n\n Ex", " LOCATION_IN.", " LOCATION_IN.", " SUBJECT_OF\n\n Explanation:\n The text mentions \"Check" ]

[ [ "0", "1", "DATE", "Winter" ], [ "14", "15", "DATE", "winter" ], [ "27", "28", "GPE", "Salida" ], [ "29", "31", "GPE", "Buena Vista" ], [ "38", "40", "LOC", "Monarch Mountain" ], [ "50", "53", "DATE", "another wet winter" ], [ "54", "55", "GPE", "Colorado" ], [ "63", "65", "EVENT", "El Niño" ], [ "77", "78", "ORDINAL", "second" ], [ "90", "91", "DATE", "winters" ], [ "92", "93", "GPE", "Colorado" ], [ "105", "108", "DATE", "all summer long" ], [ "133", "134", "DATE", "winter" ], [ "143", "144", "DATE", "2016" ], [ "154", "156", "PERSON", "Bruce Lee" ], [ "165", "170", "WORK_OF_ART", "The View from Monarch Mountain" ] ]

[ "Maria Janelli is the senior manager of online teacher education programs at the American Museum of Natural History. She has spent her career designing, implementing, and researching e-learning applications at some of New York City’s most renowned cultural and educational institutions. Janelli holds a BA in English literature from Saint Peter’s University; an MA in English literature from Rutgers University; and an MA in cultural anthropology from Columbia University. She is currently completing a PhD in educational psychology at the City University of New York. Her dissertation research examines the effects of pre-tests and feedback on learning outcomes in adult online education." ]

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[ " MANAGES", " CARRIES_OUT_ACTIVITY_IN.", " SAME_AS", " NO_RELATION.", " NO_RELATION", " EDUCATED_AT", " NO_RELATION", " EDUCATED_AT", " NO_RELATION.", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text states that Maria Jan", " EDUCATION\n\n Explanation:\n Maria Janelli is currently completing", " MANAGES", " LOCATED_IN", " MANAGES", " NO_RELATION", " EDUCATION\n\n Explanation:\n Maria Janelli (head)", " EMPLOYED_AT\n\n Entities: \n [{'head", " EDUCATION\n\n Explanation:\n Maria Janelli has a degree", " EDUCATED_AT", " NO_RELATION. The text does not provide enough context to determine a relation between 'the", " EDUCATED_AT", " NO_RELATION", " EMPLOYED_BY", " LOCATION_OF\n\n Explanation:\n Maria Janelli is located", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that Jan", " NO_RELATION.", " SPOKEN_IN.", " EDUCATED_AT", " SPOKEN_IN\n\n Explanation:\n In the text,", " EDUCATED_AT", " NO_RELATION.", " EDUCATED_AT", " NO_RELATION. The entities do not have a direct relation in the text.", " LOCATION_OF\n ORG_OF\n (Note: The entities are", " SELF. This text describes Maria Janelli in the third person, so the relation is", " MANAGES", " HAS_CAREER_AT.", " NO_RELATION. 'BA' is not a work of art.", " NO_RELATION.", " EDUCATED_AT", " NO_RELATION.", " EDUCATED_AT", " NO_RELATION.", " EDUCATED_AT", " NO_RELATION. The entities do not have a relation in the given text.", " PHD_AT.", " EDUCATION\n\n Explanation:\n The text states that Maria Jan", " EMPLOYED_BY", " HAS_LOCATION", " EDUCATION\n\n Explanation:\n The text states that Janelli", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Maria Janelli received her MA", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The head entity is 'M", " EDUCATION\n\n Explanation:\n The text states that Maria Jan", " MANAGES", " CITY_OF_RESIDENCE\n\n Explanation:\n The text", " EDUCATION\n\n Explanation:\n The text states that Janelli", " EDUCATION\n\n Explanation:\n Maria Janelli received her BA", " EDUCATION\n\n Explanation:\n Maria Janelli received her MA", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text states that \"She", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Maria Janelli received her BA", " EDUCATION\n\n Explanation:\n The relation between the entities is", " EDUCATION_AT\n\n Entities: \n [{'head':", " NO_RELATION.\n\n Entities: \n [{'head': ['", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The relation between the entities is", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text states that Maria Jan", " MANAGES", " CITY_OF_RESIDENCE_OR_WORK.", " EDUCATION\n\n Explanation:\n The text states that Janelli", " EDUCATION\n\n Explanation:\n Maria Janelli received her BA", " EDUCATION\n\n Explanation:\n Maria Janelli received her Master", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The head entity is 'M", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The head entity is Rut", " EDUCATION\n\n Explanation:\n The text states that 'She", " ALMA_MATER", " EDUCATION\n\n Explanation:\n The text states that 'She", " EDUCATION\n\n Explanation:\n The relation between Rutgers", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The head entity is 'R", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text states that Maria Jan", " MANAGES", " HAS_WORKED_AT.", " EDUCATION\n\n Explanation:\n The text states that 'Jan", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The head entity is 'MA", " EDUCATED_AT", " EMPLOYED_BY", " EDUCATED_AT", " EDUCATED_AT", " NO_RELATION. The text does not provide enough context to determine a relation between 'Col", " EDUCATION\n\n Explanation:\n Maria Janelli received her MA", " PREVIOUS_INSTITUTION\n\n Explanation:\n ", " EDUCATION\n\n Explanation:\n Maria Janelli received her MA", " EDUCATED_AT", " NO_RELATION. The text does not provide enough context to determine a relation between 'Col", " EDUCATION\n\n Explanation:\n Maria Janelli is currently completing", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text states that Maria Jan", " EMPLOYED_BY", " LOCATION.OF.WORK.FOR.PERSON.WITH.EDUCATION.", " EDUCATION\n\n Explanation:\n The text states that Janelli", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The relation between the entities is", " PHD_STUDENT", " EMPLOYED_BY", " LOCATED_IN", " PHD_STUDENT", " NO_RELATION. The text does not provide enough context to determine a relation between 'the", " EDUCATION\n\n Explanation:\n The head entity is 'the", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The head entity is 'the", " EDUCATED_AT", " NO_RELATION. The text does not provide enough context to determine a relation between 'the", " EDUCATED_AT", " EDUCATION_PROGRAM\n\n Explanation:\n The text" ]

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[ "Official communications, news and insights.\n2023 Synod - 3 Goals of Growth + PRiME\nAnglican Unification - News from AJS 2023\nCanon Missioner Named for DNE\nSynod Celebration of the Ministry of the Rt. Rev. Brian Marsh\nThe House of Bishopsof theAnglican Church in America STATEMENT ON THE DEATH OF QUEEN ELIZABETH II\nFeliz Navidad! From Presiding Bishop Garcia\nDiscerning a calling to Ministry?\nArchbishop Shane B. Janzen, Primate of the Traditional Anglican Church\nThe Office of the Presiding Bishop, Anglican Church in America\nChristmas Message 2020 from Abp. Juan B. Garcia\nNEWS AND INSIGHTS" ]

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[ " ANNOUNCEMENT_BY_ORGANIZATION", " CELEBRATED_MINISTRY_OF", " STATEMENT_BY", " DIED_OF", " CHRISTMAS_MESSAGE_FROM\n\n Explanation:\n The", " PRIMATE_OF", " NEWS_ORGANIZATION", " PROVIDES_INFORMATION", " HAPPENED_IN", " SPOKE_AT\n\n Explanation:\n The text mentions that", " NAMED_FOR", " CELEBRATED_MINISTRY_OF", " BELONGS_TO", " DECEASED_OF", " SPOKE_FOR", " PRIMATE_OF", " LEADS \n\n Explanation:\n The text mentions \"Arch", " ORGANIZATION_HEAD\n\n Explanation:\n The text ment", " NEWS_ORGANIZATION", " PRIME_OF\n or\n HEAD_OF\n\n Explan", " CAN_OCCUR_IN_CONTEXT_OF\n OR:\n HAS", " CANON_MISSIONER_FOR. This is the correct relation label. The Canon", " CANONIZED_BY", " NAMED_FOR", " DECEASED_OF", " CANONIZED_BY or NAMED_BY or APPOINTED_BY\n", " CANONIZED_BY\n or\n NAMED_BY\n or", " CAN_BE_PART_OF", " NAMED_BY", " CAN_BE_PART_OF", " CELEBRATED_ON", " NAMED_FOR", " CELEBRATION_OF\n\n Explanation:\n The text mentions", " CELEBRATION_OF\n\n Explanation:\n The text mentions", " CANON_MISSIONER_OF\n\n Explanation:\n The text", " MINISTER_OF \n or \n HEAD_OF \n or", " DECEASED_BY\n\n Explanation:\n The text mentions", " PRIMATE_OF\n\n Explanation:\n The text mentions that", " PRIMATE_OF\n\n Explanation:\n The text mentions that", " PRIMATE_OF", " MINISTRY_OF\n\n Explanation:\n The text mentions", " MINISTRY_OF\n\n Explanation:\n The text mentions", " MINISTRY_OF\n or\n CHRISTMAS_MESSAGE_", " PRIMATE_OF\n\n Explanation:\n The text mentions that", " STATEMENT_ON\n ORGANIZATION_MADE_STATEMENT_", " STATEMENT_BY", " NAMED_FOR", " CELEBRATED_MINISTRY_OF", " STATEMENT_BY\n\n Explanation:\n The text mentions that", " OFFICIAL_COMMUNICATIONS_FROM", " PRIMATE_OF", " SUBORDINATE_ORGANIZATION", " SUBORDINATE_PART_OF", " HOMOGENEOUS_MERGER\n\n Explanation:\n The", " CHRISTMAS_MESSAGE", " PRESIDES_OVER", " DIED_ON", " DECEASED_BY\n\n Explanation:\n The text mentions", " DIED_FOR\n\n Explanation:\n The text mentions the death", " DECEASED_FOR\n\n Explanation:\n The text mentions", " DECLARED_BY", " DEATH_OF\n\n Explanation:\n The text mentions the death", " NO_RELATION", " DEATH_CAUSED_BY\n\n Explanation:\n The text ment", " DEATH_NOTICE", " DEATH_OF_HEAD_ORG_FOR_TAIL", " DEATH_YEAR", " SUBJECT_OF \n\n Explanation:\n The text mentions the", " CHRISTMAS_MESSAGE_FROM (PERSON, DATE)", " PRESIDING_BISHOP", " NAMED_FOR", " PRIMARY_SUBORDINATE", " PRESIDES_OVER", " DECEASED_OF", " PRIMATE\n\n Explanation:\n The text mentions \"Archb", " PRIMATE_OF", " HEAD_OF\n or\n ORG_HEAD\n\n Explanation", " PRIME_MEMBER_OF", " CHRISTMAS_MESSAGE", " SPOKESPERSON", " PRIMARY_SPEAKER_AT_EVENT", " PRIMATE", " PRIMATE_OF", " PRIMATE_OF\n\n Explanation:\n The text mentions that", " PRINCIPAL_OF\n\n Explanation:\n The text ment", " DIED_FROM\n\n Explanation:\n The text mentions that Arch", " PRIMATE", " PRIMATE_OF", " HEAD_OF\n or\n PRINCIPAL\n or\n ", " PRIMATE_OF", " CHRISTMAS_MESSAGE", " PRIMATE_OF\n\n Explanation:\n The text mentions that", " HOLIDAY_THEME", " PRIMATE_OF", " CANONICAL_AUTHORITY_OVER", " PRIMATE_OF", " SUBORDINATE_ORGANIZATION", " DEATH_OF.", " PRIMATE", " PRIMATE", " PART_OF", " SUBSET_OF", " CHRISTMAS_MESSAGE", " PRIMATE", " HOLDS_EVENT", " OFFICIAL_COMMUNICATIONS_FROM", " NAMED_FOR", " CELEBRATED_BY", " PART_OF", " STATEMENT_BY\n\n Explanation:\n The text mentions a", " PRESIDES_OVER", " PRIMATE_OF", " OFFICIAL_RELATION\n\n Explanation:\n The text mentions", " PART_OF", " CHRISTMAS_MESSAGE", " PRESIDES_OVER", " SYNOD_OF_ANGLICAN_CHURCH_IN_AMERIC", " CHURCH_MEMBER\n or\n MEMBER_OF\n or\n", " CANONICAL_DIOCESAN_JURISDICTION", " CELEBRATED_BY", " HOUSE_OF_BISHOPS_OF_ANGLICAN_CHUR", " DEATH_OF\n\n Explanation:\n The text mentions the death", " PRIME_OF\n or\n HEAD_OF\n or\n ", " PRIMATE_OF", " SUBORDINATE_ORGANIZATION", " SUBORDINATE_ORGANIZATION", " CHRISTMAS_MESSAGE", " PRIMATE", " CHRISTMAS_MESSAGE_FROM\n\n Explanation:\n The", " CHRISTMAS_MESSAGE_FROM\n\n Explanation:\n The", " SPOKE_AT\n\n Explanation:\n The text mentions a", " DIED_OF\n or\n NO_RELATION (if no relation exists)", " CHRISTMAS_MESSAGE_FROM", " CHRISTMAS_MESSAGE_FROM", " CHRISTMAS_MESSAGE\n\n Explanation:\n The text ment", " SPOKE_FOR", " CHRISTMAS_MESSAGE\n\n Explanation:\n The text ment", " CHRISTMAS_MESSAGE_FROM", " CHRISTMAS_MESSAGE_FROM\n\n Explanation:\n The", " PRESIDING_BISHOP", " PRIMATE_OF", " PRIMATE_OF\n\n Explanation:\n The text mentions that", " PRINCIPAL_OF\n\n Explanation:\n The text ment", " DIED_FROM", " PRIMATE\n\n Explanation:\n The text mentions \"Archb", " PRIMATE_OF\n\n Explanation:\n The text mentions that", " PRIMATE_OF", " HEAD_OF\n or\n PRINCIPAL\n or\n ", " PRIMATE_OF", " CHRISTMAS_MESSAGE" ]

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[ "Erik Minter’s work incorporates vibrant color combinations with sky-tone gradients that weave between graphic shapes and fluid splashes. Combining abstraction with surreal figuration, he searches to capture the emotion of an experience, perhaps once had or dreamt. His technique, both premeditated and unplanned, channels him to find and explore the pleasures and ironies in the mutable and plastic nature of existence. Minter received his BFA from Pratt Institute in 2000 and has ventured into multiple creative fields, mainly as a multi-disciplinary designer. He has received several design awards and exhibited his work in both solo and group shows in and around New York. Erik is currently represented by Rosenbaum Contemporary.\nCourtesy of Davis Editions" ]

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[ " self.label = 'PERSON_IDENTICAL'", " RECEIVED_DEGREE", " RECEIVED_EDUCATION_AT", " RECEIVED_DEGREE\n\n Explanation:\n Erik M", " REPRESENTED_BY", " self", " REPRESENTED_BY", " REPRESENTED_BY", " SUBJECT_OF. (The text is about Erik Minter, so he is the subject", " RECEIVED_DEGREE", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE\n\n Explanation:\n The text", " LIVES_IN", " 'SELF'", " REPRESENTED_BY", " REPRESENTED_BY", " CREATED_BY", " CREATED_BY", " RECEIVED_DEGREE_FROM", " EXHIBITED_IN", " CREATED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " EDUCATED_AT", " RECEIVED_DEGREE_FROM", " EDUCATED_AT", " EDUCATED_AT", " EXHIBITED_IN", " RECEIVED_DEGREE_FROM", " REPRESENTED_BY", " REPRESENTED_BY", " RECEIVED_DEGREE\n\n Explanation:\n Erik M", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE_AT", " RECEIVED_DEGREE_FROM", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " EXHIBITED_IN", " EDUCATED_AT", " EXHIBITED_AT", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " SELF_REFERENCE", " SAME_AS", " RECEIVED_DEGREE", " RECEIVED_DEGREE\n\n Explanation:\n Erik received", " RECEIVED_DEGREE\n\n Explanation:\n Erik received", " LIVES_IN", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_IN", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY.", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY" ]

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[ "From Teach Me Tonight, the blog collective of a small and intelligent group of romance writers/readers who are also academics:\nSadly, academic criticism and theory of the romance—whether literary criticism, sociological analysis, editorial theory, or feminist scrutiny—has not kept up with the changes in the genre. Janice Radway’s sociological evaluation of romance readers and literary analysis of the romance genre is more than twenty years out-of-date, written before any of the changes that define the modern romance had evolved. Dangerous Men and Adventurous Women, edited by best-selling romance author Jayne Ann Krentz, is an invaluable tool for the romance critic, but is now more than ten years old and never claimed to be academic. It is well past time for a volume of sophisticated, rigorous, and romance-positive academic analyses of romance.\nFor more, go to Teach Me Tonight." ]

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[ "Profile Jerome Powell : The Fed’s invisible man\nHe's the most important economic policymaker in the world. But who is he? Outside economic circles, hardly anyone knows\nName: Jerome Powell\nAppearance: grey-haired, well-coiffed, mild-mannered\nIn the news because: the former private equity executive is the new chair of the US Federal Reserve – the most important position in world economics\nLast January, Donald Trump announced he was nominating Neil Gorsuch to the Supreme Court.\nA constitutional originalist, Gorsuch was every bit the sort of right-wing ideologue who many people worried Trump’s presidency would catapult into the US’s most ..." ]

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[ " CHAIR_OF", " SELF", " CHAIR_OF", " PAST_EVENT\n\n Explanation:\n The text describes Jerome Pow", " NOMINATOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " CHAIR_OF", " HEAD_OF\n\n Explanation:\n The text states that Jerome", " HEAD_OF\n or\n CHAIR_OF", " IDENTICAL\n\n Explanation:\n The text states that Jerome Pow", " BACKGROUND_EVENT", " NOMINATED_BY", " NOMINEE_FOR\n or\n NOMINATED_FOR\n ", " OPPOSITE_OF_MEMBER_OF\n\n Explanation:\n ", " NOMINATED_BY", " HEAD_OF\n Or, if you prefer:\n CHAIR_OF", " SELF", " CHAIR_OF", " CHAIR_OF", " PAST_EVENT\n\n Explanation:\n The text describes Jerome Pow", " NOMINATOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " CHAIR_OF", " HEAD_OF\n\n Explanation:\n The text states that Jerome", " IS_A\n\n Explanation:\n The text states that \"the US", " HEAD_OF\n or\n CHAIR_OF\n or\n ", " EVENT_MENTIONED_IN.", " NOMINATOR", " NOMINEE_FOR\n\n Explanation:\n In the text,", " GOVERNMENT_OF\n\n Explanation:\n The text describes Jer", " NOMINATED_BY", " IS_PART_OF", " ANNOUNCED_NOMINATION", " ANNOUNCED_EVENT_ABOUT", " ANNOUNCED_NOMINATION", " ANNOUNCED_NOMINATION", " NO_RELATION", " NOMINATED_FOR_POSITION", " NOMINATED_FOR_POSITION", " NO_RELATION", " BACKGROUND_EVENT_IN_LOCATION", " NOMINATED_FOR_POSITION", " NO_RELATION", " NOMINATED_FOR_POSITION", " NOMINATED_FOR_POSITION_IN\n\n Explanation:\n ", " ANNOUNCED_EVENT_ON_DATE", " NOMINATED_FOR_POSITION", " NOMINATED_FOR_POSITION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MEMBER_OF", " ANNOUNCED_ON_DATE", " NO_RELATION", " MEMBER_OF", " NO_RELATION", " NO_RELATION", " NOMINEE_FOR\n\n Explanation:\n In the text,", " DIFFERENT_FROM", " NO_RELATION", " SUPERORDINATE", " ANNOUNCED_EVENT_AT", " NOMINATED_BY", " NOMINEE_FOR\n or\n NOMINATED_FOR\n ", " NOMINATED_BY", " NO_RELATION", " NOMINATED_FOR_POSITION", " NOMINATED_FOR_POSITION", " NOMINATED_FOR_POSITION", " NOMINATED_FOR_POSITION_IN\n\n Explanation:\n ", " ANNOUNCED_EVENT_ON_DATE", " NO_RELATION", " NOMINATED_FOR_POSITION", " NOMINATED_FOR_POSITION", " NO_RELATION", " HEAD_OF\n or\n LOCATED_IN\n or\n ", " HEAD_OF\n or\n CHAIR_OF\n or\n ", " HEAD_OF\n or\n IS_A\n or\n LOC", " HEAD_OF\n ORGANIZATION\n\n Explanation:\n", " BACKGROUND_EVENT_DATE", " NO_RELATION", " NOMINATOR", " IN_THE_NEWS_ABOUT", " NO_RELATION" ]

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[ "Two players can play locally or online in Shank 2s Survival Mode.\nShank 2 returns with a story of redemption as Shank, a former mob hitman with a dark and vengeful past, is thrust back into action when the lives of those close to him are endangered. Expanding on the original game’s rich and intuitive combat and control system, Shank 2 continues Klei's tradition of making fluid brawling controls and stunningly beautiful visuals that leapfrogs the competition in the 2D side-scrolling genre. The game also introduces an intense new, arcade-style survival co-op mode that has gamers working together to take down their foes, relying on the environment and weapon pick-ups for survival.\nThis page contains co-op info for Shank 2 on the Playstation 3. All information about Shank 2 was correct at the time of posting. Information is subject to change. If you see any errors please email us." ]

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[ " PLAYER_OF\n\n Explanation:\n The text states that \"", " DEVELOPER", " SUBJECT_OF. This is because the head entity is the subject of the sentence and the", " DEVELOPED_BY", " PRODUCT_IS_RELATED_TO_PERSON", " DEVELOPED_BY", " PLAYS_WITH\n\n Explanation:\n The text states that \"", " SUBJECT_OF\n\n Explanation:\n The text states that \"Two", " SUBJECT_OF. The text states that \"Shank\" is the subject of the game", " SUBJECT_OF. The text states that \"Shank\" is the subject of the game", " DEVELOPED_BY", " SUBJECT_OF. The text states that \"Shank\" is the subject of the game", " GAME_FOR_PLATFORM", " SUBJECT_OF. The text states that \"Shank\" is the subject of the game", " PRODUCT_IS_RELATED_TO_PERSON", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPER", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPER", " DEVELOPER_FOR\n ORG: Klei\n PRODUCT: the", " DEVELOPER", " PRODUCT_HAS_PERSON", " DEVELOPED_BY", " CO-OP_FOR\n\n Explanation:\n The text states that \"", " DEVELOPER", " PRODUCT_IS_RELATED_TO_PERSON", " DEVELOPED_BY" ]

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[ "Letter from Paul Martz\nImmigration – May 2006 – Colorado Central Magazine\nMy first reaction to reading Hal Walter’s column in the April edition, even after reading the postscript apology, was one of disbelief. I quite frankly found his apparent conclusions about the current illegal alien situation to be abhorrent. He seems to be saying that all other legitimate considerations aside, it’s OK to exploit these people if it’s for the good of the economy." ]

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[ " WROTE_FOR\n\n Explanation:\n Paul Martz wrote the", " WRITES_FOR", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_ABOUT", " WRITTEN_BY", " PUBLISHED_IN", " WRITTEN_BY", " WRITTEN_BY", " PUBLISHED_IN", " PUBLISHED_IN", " WRITTEN_BY", " PUBLISHED_IN", " WRITTEN_BY", " WRITES\n\n Explanation:\n Paul Martz wrote a letter to", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " WRITES_FOR", " WRITTEN_BY", " WRITTEN_ABOUT", " WRITTEN_BY", " PUBLISHED_IN", " WRITTEN_BY" ]

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[ "Anne Frank and Me (Mass Market)\nSpecial Order - may be out of print\nIn one moment Nicole Burns's life changes forever. The sound of gunfire at an Anne Frank exhibit, the panic, the crowd, and Nicole is no longer Nicole. Whiplashed through time and space, she wakes to find herself a privileged Jewish girl living in Nazi-occupied Paris during World War II. No more Internet diaries and boy troubles for Nicole-now she's a carefree Jewish girl, with wonderful friends and a charming boyfriend. But when the Nazi death grip tightens over France, Nicole is forced into hiding, and begins a struggle for survival that brings her face to face with Anne Frank.\n\"This is a powerful and affecting story.\" (KLIATT)" ]

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[ " CAUSED_BY", " ANCESTOR", " SAME_PERSON", " MEETS", " MEETS", " ANTECEDENT_OF", " OCCUPIER", " LIVED_IN", " CAUSED_BY", " MEETS\n\n Explanation:\n In the text, Anne Frank and", " ANTECEDENT", " OCCUPIED_BY", " LIVED_IN", " MEETS", " SAME_PERSON", " REVIEWS", " EXISTED_IN_TIME_PERIOD", " CHANGED_IDENTITY_AT_TIME", " LIVED_IN_THE_SAME_TIME_PERIOD", " CAUSES_EVENT", " CAUSES_EVENT", " TEMPORAL_BEFORE", " CAUSES_EVENT", " TEMPORAL_BEFORE", " CAUSES_EVENT", " LIVED_IN_TIME_OF\n or\n EXPERIENCED", " REVIEWS.\n This text describes a book review by KLIATT for a", " MEETS", " CAUSED_BY", " MEETS", " SELF", " SELF", " IS_A\n\n Explanation:\n Nicole Burns is a person,", " FORCED_INTO_CONTACT_WITH", " LIVES_IN", " LIVED_IN\n\n Explanation:\n Nicole Burns lived in", " SELF", " IS_A\n\n Explanation:\n Nicole Burns is a person who", " FORCED_FROM_BY\n\n Explanation:\n Nicole Burns", " TRAVELS_TO", " SELF", " MEETS", " REVIEWER_OF\n # This relation indicates that the head entity (Nic", " SAME_PERSON", " CAUSED_BY", " ANCESTOR_DESCENDANT", " MEETS", " MEETS", " ANNE_FRANK_IS_JEWISH", " OCCUPIER", " LIVED_IN", " CAUSED_BY", " MEETS\n\n Explanation:\n In the text, Anne Frank and", " ANNE_FRANK_IS_JEWISH", " OCCUPIED_BY", " LOCATION", " MEETS", " SAME_PERSON", " REVIEWS", " MEETS", " CAUSED_BY", " SELF. This is Nicole referring to herself in the past and present.", " MEETS", " SAME_PERSON", " IS_A\n\n Explanation:\n Nicole is a person and she is", " OPPOSED_BY", " LIVES_IN", " CAUSED_BY", " SAME_PERSON", " IS_A\n\n Explanation:\n Nicole is a person and she is", " OPPOSED_BY", " LIVES_IN", " SAME_PERSON", " ENCOUNTERED", " REVIEWER_OF\n Or\n NO_RELATION", " MEETS", " CAUSED_BY", " SELF. This is Nicole referring to herself in the past and present.", " ENCOUNTERED_IN_LITERATURE", " SAME_PERSON", " IS_A\n\n Explanation:\n In the text, Nicole is described", " OPPOSED_BY", " LIVES_IN", " CAUSED_BY", " SAME_PERSON", " IS_A\n\n Explanation:\n In the text, Nicole is described", " OPPOSED_BY", " LIVES_IN", " SAME_PERSON", " ENCOUNTERED", " REVIEWER_OF\n or\n NO_RELATION (if 'An", " SUBJECT_OF\n\n Explanation:\n In the text, Anne Frank", " IS_A (Jewish, Jewish_girl)\n OR:\n H", " LIVED_IN_SAME_LOCATION", " IDENTITY", " IDENTITY", " LIVED_IN", " IDENTITY", " LOCATION", " IDENTICAL_TO", " LIVED_IN_THE_SAME_LOCATION_AS", " REVIEWER_OF\n # This relation indicates that the head entity (Jew", " OCCUPIER", " OCCUPIER", " OCCUPIER", " OCCUPIER", " OCCUPIER", " OCCUPIED_BY", " OCCUPIER", " OCCUPATION\n\n Explanation:\n In the text, it is", " OCCUPIER", " OCCUPIER", " REVIEWER_OF\n # This relation indicates that the head entity (Nazi", " LOCATION_OF\n or\n HIDDEN_IN\n or", " LOCATION_AT_TIME", " LOCATION_OF\n\n Explanation:\n In the text, Nicole", " LOCATION_OF\n or\n HIDDEN_IN\n or", " LOCATION_OF\n\n Explanation:\n In the text, Nicole", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " LOCATION_OF\n or\n BELONGS_TO\n or", " OCCUPIED_BY", " LOCATION_OF\n or\n TEMP_LOCATION_OF\n\n", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " LOCATION_OF\n or\n BELONGS_TO\n\n ", " OCCUPIED_BY", " PART_OF", " LOCATION_OF\n\n Explanation:\n In the text, Nicole", " LOCATION_OF\n or\n RESIDED_IN\n or\n", " LOCATION_OF\n\n Explanation:\n In the text, Paris", " LIVED_DURING", " LIVED_IN\n\n Context: \n Nicole wakes up to find", " LIVED_DURING", " LIVED_IN\n\n Explanation:\n In the text, Nicole", " LIVED_DURING", " SET_IN.", " LIVED_DURING", " SET_IN.", " LIVED_IN\n\n Explanation:\n In the text, Nicole", " LIVED_DURING", " REVIEWS.\n This text describes an event (World War II) that is", " ENCOUNTERED_IN_LITERATURE", " CAUSED_BY", " SELF", " ENCOUNTERED_IN_LITERATURE", " SAME_PERSON", " SAME_PERSON", " IS_A\n\n Explanation:\n In the text, Nicole is described", " OPPOSED_BY", " LIVES_IN", " CAUSED_BY", " IS_A\n\n Explanation:\n Nicole is a person (IS_", " OPPOSITE_OF_PERSECUTOR", " LIVES_IN", " SAME_PERSON", " ENCOUNTERED", " REVIEWER_OF\n OR\n NO_RELATION", " SUBJECT_OF\n\n Explanation:\n In the text, Anne Frank", " IS_A (Jewish, Nicole Burns) or HAS_TYPE (N", " SUBJECT_OF\n\n # The text describes Nicole as becoming Anne Frank, so Nicole", " IDENTICAL_TO", " IDENTICAL_TO", " LOCATION", " IDENTICAL_TO", " LOCATION", " IDENTICAL_TO", " SUBJECT_OF\n\n Explanation:\n In the text, Nicole Burn", " REVIEWER_OF", " OCCUPIER", " OCCUPIER", " OCCUPIER", " OCCUPIER", " OCCUPIER", " OCCUPIED_BY", " OCCUPIER", " OCCUPATION\n\n Explanation:\n In the text, it is", " OCCUPIER", " OCCUPIER", " REVIEWER_OF\n # The KLIATT reviewer reviewed the book about", " LOCATION_OF\n\n Explanation:\n In the text, Anne", " SETTING", " LOCATION_FROM_PERSON", " LOCATION_OF\n\n Explanation:\n In the text, Anne", " LOCATION_FROM.\n\n Explanation:\n In the text,", " LOCATION.IN.REGION", " LOCATION_OF\n or\n BELONGS_TO\n or", " OCCUPIED_BY", " LOCATION_IN_LOCATION", " LOCATION_OF\n or\n TEMP_LOCATION_OF\n\n", " LOCATION_FROM. The text describes Nicole being in France before being transported back in", " LOCATION_OF\n or\n BELONGS_TO\n or", " OCCUPIED_BY", " LOCATION_FROM_PERSON", " LOCATION_OF\n or\n HIDDEN_IN\n or", " LOCATION_OF\n\n Explanation:\n The text describes Nicole being", " MEETS", " CAUSES\n\n Explanation:\n The text describes how the sound of", " SELF. This is Nicole referring to herself in the past and present.", " MEETS", " SAME_PERSON", " SAME_PERSON", " IS_A\n\n Explanation:\n Nicole is a person and she is", " OPPOSED_BY", " LIVES_IN", " CAUSED_BY", " SAME_PERSON", " IS_A\n\n Explanation:\n Nicole is a person (IS_", " FORCED_FROM_BY", " LIVES_IN", " MEETS", " REVIEWER_OF\n or\n NO_RELATION (if 'An", " SAME_PERSON", " CAUSED_BY", " ANCESTOR", " SAME_PERSON", " MEETS", " MEETS", " ANTECEDENT_OF", " OCCUPIER", " LIVED_IN", " CAUSED_BY", " MEETS", " ANTECEDENT", " OCCUPIER", " LOCATION", " MEETS", " REVIEWS", " REVIEWER_OF\n # This relation indicates that the head entity (KLI", " EVENT_MENTIONED_IN.", " REVIEWER_OF\n # This model is a relation extractor, not a", " REVIEWER_OF\n # This relation indicates that the head entity (KLI", " REVIEWER_OF\n # This relation indicates that the head entity (KLI", " REVIEWER_OF\n # This relation indicates that the head entity (KLI", " REVIEWS.\n This text describes a review of a book about Anne Frank,", " 'MENTIONED_OF'", " LOCATION_IN.", " HAPPENED_IN\n\n Explanation:\n The text describes how", " REVIEWER_OF\n # This relation indicates that the head entity (KLI", " REVIEWS.\n This text describes a review of a book about Anne Frank,", " FORCED_FROM_BY\n\n Explanation:\n In the text", " SET_IN.", " REVIEWER_OF\n # This relation indicates that the head entity (KLI", " REVIEWS_BOOK\n or\n MENTIONED_IN\n" ]

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[ "Just last month British Prime Minister David Cameron promised the British people a “In or Out” referendum regarding its relationship with the European Union if he could not negotiate new terms, now news portal Balkan Insight have reported that a Croatian civic initiative called the Referendum Rebellion is collecting signatures demanding, among other things, a repeat referendum on Croatia’s EU accession.\nBesides a referendum on the EU, the group seeks votes on banning genetically modified products, on privatisation and on sales of state land.\nGroup leader Zoran Mihajlovic on Tuesday urged people to sign the referendum request, “to stop arbitrariness of the politicians and the wrong direction the country is heading in”.\nBy Croatian law, if 10 per cent of all voters sign a petition, which means more than 400,000, a vote can take place on the relevant issue.\nRead more here." ]

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[ " PROMISED_BY", " EU_MEMBERSHIP", " REPORTED_BY", " PROMISED_BY", " DISCOURSE_MENTIONED_IN_CONTEXT_OF", " RELATION_BETWEEN_EVENT_AND_ORGANIZATION\n", " RELATION_BETWEEN_EVENT_AND_ORGANIZATION", " URGED_BY", " PROMISED_BY", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " REPORTS", " SUPPORTS", " REFERENDUM_ON.", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " CAMPAIGNED_FOR", " TIMES_MENTIONED", " LEADS\n\n Explanation:\n The text states that \"Brit", " LEADS\n\n Explanation:\n The text states that \"Brit", " EU_MEMBERSHIP", " REPORTED_BY", " PROMISED_BY", " PROMISED_BY", " REFERENDUM_ON.", " NEGOTIATIONS", " RELATION_HEAD_MEMBER_OF\n or\n RELATION_", " CAMPAIGNED_FOR\n\n Explanation:\n The text ment", " URGED_ON_TUESDAY", " PROMISED_BY", " IF_CONDITION\n\n Explanation:\n The text states that British Prime", " IF_PRESENTS_THRESHOLD", " PROMISED_BY", " MEMBER_OF\n or\n BELONGS_TO\n or\n", " REPORTED_BY", " SUPPORTS", " REFERENDUM_ON_GPE", " REFERENDUM_ON.", " REFERENDUM_ON.", " NO_RELATION", " EU_MEMBERSHIP_REFERENDUM_PROMISED_BY_CAM", " EU_MEMBERSHIP", " NEGOTIATOR", " MEMBER_OF\n\n Explanation:\n The text mentions that British", " REPORTS_ON", " MEMBER_OF", " EU_MEMBERSHIP", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " EU_MEMBERSHIP", " EU_MEMBERSHIP", " EU_MEMBERSHIP\n\n Explanation:\n The text mentions", " DISCUSSION_ABOUT. This is because the text discusses the possibility of a refer", " MEMBER_OF", " REFERENDUM_ON", " REFERENDUM_ON", " REPORTED_EVENT_IN_MONTHS", " REPORTED_BY", " REPORTED_PROMISED_BY", " REPORTED_BY", " REPORTS_ABOUT", " REPORTED_BY", " REPORTED_BY", " REPORTS_FROM", " REPORTS_ABOUT", " REPORTS_ABOUT", " REPORTED_BY", " REPORTED_ON", " REPORTED_BY", " REPORTED_BY", " REPORTED_SIGNATURES_COLLECTED", " PROMISED_BY", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " REPORTED_BY", " INITIATOR", " COUNTRY_OF\n or\n LOCATED_IN\n or\n", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " MEMBER_OF\n or\n PART_OF\n or\n SUBORD", " LEADS", " PRECEDES", " REFERENDUM_PROMISER", " PROMISED_BY", " REFERENDUM_PROPOSAL_BY_ORGANIZATION", " EU_MEMBERSHIP", " REPORTED_BY", " ORGANIZED_BY", " COLLECTS_SUPPORT_FOR\n\n Explanation:\n The text states", " REFERENDUM_ON.", " REFERENDUM_ON.", " LEADS", " URGED_ON_DATE", " REBEL_GROUP_OF\n\n Explanation:\n The text ment", " REQUIRES_SIGNATURES_FOR_VOTE", " COLLECTS_SIGNATURES_FOR\n OR\n HAS_SUPPORT_", " TIME_REFERENCE_TO_GPE", " COUNTRY_OF_ORIGIN", " PROMISED_BY", " COUNTRY_OF_ORIGIN", " MEMBER_OF\n or\n PART_OF\n or\n LOC", " REPORTS_ON", " COUNTRY_OF\n\n Explanation:\n The text states that \"", " INITIATOR", " MEMBER_OF\n or\n PART_OF\n or\n LOC", " MEMBER_OF\n or\n PART_OF\n or\n LOC", " LEADS\n\n Explanation:\n Zoran Mihajlov", " URGED_ON_DATE", " COUNTRY_OF\n\n Explanation:\n The text mentions that", " REQUIRES_SIGNATURES_FOR_VOTE", " REQUIRES_SIGNATURES_FOR_VOTE", " EUROPEAN_UNION_MENTIONED_BEFORE_DATE", " EU_MEMBERSHIP", " NEGOTIATOR", " EU_MEMBERSHIP", " EU_MEMBERSHIP", " REPORTS", " MEMBER_OF", " EU_MEMBERSHIP_REFERENDUM_INITIATED_BY_GROUP", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " EU_MEMBERSHIP", " EU_MEMBER # Zoran_Mihajlovic\n\n Explan", " REFERRANDUM_PROPOSED_BY", " MEMBER_OF", " REFERENDUM_ON", " REQUIRES_SIGNATURES_FOR_VOTE", " EUROPEAN_UNION_MENTIONED_BEFORE_DATE", " EU_MEMBERSHIP", " NEGOTIATOR", " MEMBER_OF\n\n Explanation:\n The text mentions that British", " EU_MEMBERSHIP", " REPORTS", " MEMBER_OF", " EU_MEMBERSHIP\n\n Explanation:\n The text mentions", " MEMBER_OF\n or\n PART_OF\n or (in this context", " SAME_ORGANIZATION", " EU_MEMBER #REFERENDUM_INITIATOR\n OR\n RE", " REFERS_TO", " MEMBER_OF", " REFERENDUM_ON", " REQUIRES_SIGNATURES_FOR_VOTE", " TIME_REFERENCE_PRECEDES_EVENT\n or\n CAUSED", " URGES_PERSON_TO_DO_ACTION\n\n Explanation:", " PROMISED_BY", " LEADS\n\n Explanation:\n Zoran Mihajlov", " OPPOSED_BY", " REPORTED_BY", " LEADS\n\n Explanation:\n Zoran Mihajlov", " LEADS\n\n Explanation:\n Zoran Mihajlov", " LEADS\n\n Explanation:\n Zoran Mihajlov", " OPPOSITION", " OPPOSITION", " URGED_ON_DATE", " LEADS\n\n Explanation:\n Zoran Mihajlov", " COLLECTS_SIGNATURES_FOR", " COLLECTS_SIGNATURES_FOR", " PROMISED_BY", " NEGOTIATIONS", " REPORTED_BY", " URGED_BY", " URGED_IN_REFERENDUM\n\n Explanation:\n ", " NEGOTIATIONS", " NEGOTIATIONS", " URGED_BY", " PROMISED_BY", " MEMBER_OF\n or\n PART_OF\n or\n SUBJECT", " REPORTS", " INITIATOR", " COUNTRY_OF\n or\n LOCATED_IN\n or\n", " MEMBER_OF\n or\n PART_OF\n or\n SUB_", " MEMBER_OF\n or\n PART_OF\n or\n SUBORD", " LEADS", " NEGOTIATION_WITH_HEAD_ENTITY_FOR_TAIL_ENT", " EU_MEMBERSHIP", " REPORTS", " COLLECTS_SIGNATURES_FOR", " REFERENDUM_ON_GPE", " REFERENDUM_ON.", " REFERENDUM_ON.", " SUPPORTED_BY", " IF_VOTE_THRESHOLD", " REFERENDUM_ON.", " REPORTS", " COLLECT_SIGNATURES_FOR", " SIGNATURE_COLLECTION_FOR_REFERENDUM", " REFERENDUM_ON.", " REFERENDUM_ON.", " COLLECTS_SIGNATURES_FROM" ]

[ [ "0", "3", "DATE", "Just last month" ], [ "3", "4", "NORP", "British" ], [ "6", "8", "PERSON", "David Cameron" ], [ "10", "11", "NORP", "British" ], [ "23", "26", "ORG", "the European Union" ], [ "37", "39", "ORG", "Balkan Insight" ], [ "43", "44", "NORP", "Croatian" ], [ "47", "50", "ORG", "the Referendum Rebellion" ], [ "63", "64", "GPE", "Croatia" ], [ "65", "66", "ORG", "EU" ], [ "74", "75", "ORG", "EU" ], [ "98", "100", "PERSON", "Zoran Mihajlovic" ], [ "101", "102", "DATE", "Tuesday" ], [ "130", "131", "NORP", "Croatian" ], [ "134", "137", "PERCENT", "10 per cent" ], [ "146", "149", "CARDINAL", "more than 400,000" ] ]

[ "Sudan, Africa: Sudanese Christian leaders have achieved so much against great odds. Many even lost their lives in serving Jesus. Few have opportunity for formal theological education. The sheer number of young converts overwhelms the number of trained pastors.\nTheological training institutions. Trained pastors are a great need due to rapid church growth. All major denominations have Bible colleges and/or seminaries; altogether there are around 50 in the country. Large numbers of Sudanese also undertake theological studies abroad. Besides solid biblical teaching and discipleship methods, pastors and Christian leaders need to acquire skills in AIDS ministry, conflict resolution, trauma counselling and reconciliation ministry. Pray for the provision of facilities, staff and students adequate to shape the future of Sudanese Christianity." ]

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"head": [ "2", "3", "LOC", "Africa" ], "tail": [ "4", "5", "NORP", "Sudanese" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "5", "6", "NORP", "Christian" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "66", "67", "WORK_OF_ART", "Bible" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "74", "76", "CARDINAL", "around 50" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "83", "84", "NORP", "Sudanese" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "100", "101", "NORP", "Christian" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "135", "136", "NORP", "Sudanese" ] } ], [ { "head": [ "2", "3", "LOC", "Africa" ], "tail": [ "136", "137", "ORG", "Christianity" ] } ], [ { "head": [ "4", "5", "NORP", "Sudanese" ], "tail": [ "0", "1", "GPE", "Sudan" ] } ], [ { "head": [ "4", "5", "NORP", "Sudanese" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "4", "5", "NORP", "Sudanese" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "4", "5", "NORP", "Sudanese" ], "tail": [ "136", "137", "ORG", "Christianity" ] } ], [ { "head": [ "5", "6", "NORP", "Christian" ], "tail": [ "0", "1", "GPE", "Sudan" ] } ], [ { "head": [ "5", "6", "NORP", "Christian" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "5", "6", "NORP", "Christian" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "5", "6", "NORP", "Christian" ], "tail": [ "136", "137", "ORG", "Christianity" ] } ], [ { "head": [ "22", "23", "PERSON", "Jesus" ], "tail": [ "0", "1", "GPE", "Sudan" ] } ], [ { "head": [ "22", "23", "PERSON", "Jesus" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "22", "23", "PERSON", "Jesus" ], "tail": [ "4", "5", "NORP", "Sudanese" ] } ], [ { "head": [ "22", "23", "PERSON", "Jesus" ], "tail": [ "5", "6", "NORP", "Christian" ] } ], [ { "head": [ "22", "23", "PERSON", "Jesus" ], "tail": [ "66", 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"Sudan" ] } ], [ { "head": [ "74", "76", "CARDINAL", "around 50" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "74", "76", "CARDINAL", "around 50" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "74", "76", "CARDINAL", "around 50" ], "tail": [ "136", "137", "ORG", "Christianity" ] } ], [ { "head": [ "83", "84", "NORP", "Sudanese" ], "tail": [ "0", "1", "GPE", "Sudan" ] } ], [ { "head": [ "83", "84", "NORP", "Sudanese" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "83", "84", "NORP", "Sudanese" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "83", "84", "NORP", "Sudanese" ], "tail": [ "136", "137", "ORG", "Christianity" ] } ], [ { "head": [ "100", "101", "NORP", "Christian" ], "tail": [ "0", "1", "GPE", "Sudan" ] } ], [ { "head": [ "100", "101", "NORP", "Christian" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "100", "101", "NORP", "Christian" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "100", "101", "NORP", "Christian" ], "tail": [ "136", "137", "ORG", "Christianity" ] } ], [ { "head": [ "135", "136", "NORP", "Sudanese" ], "tail": [ "0", "1", "GPE", "Sudan" ] } ], [ { "head": [ "135", "136", "NORP", "Sudanese" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "135", "136", "NORP", "Sudanese" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "135", "136", "NORP", "Sudanese" ], "tail": [ "136", "137", "ORG", "Christianity" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "0", "1", "GPE", "Sudan" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "2", "3", "LOC", "Africa" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "4", "5", "NORP", "Sudanese" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "5", "6", "NORP", "Christian" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "22", "23", "PERSON", "Jesus" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "66", "67", "WORK_OF_ART", "Bible" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "74", "76", "CARDINAL", "around 50" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "83", "84", "NORP", "Sudanese" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "100", "101", "NORP", "Christian" ] } ], [ { "head": [ "136", "137", "ORG", "Christianity" ], "tail": [ "135", "136", "NORP", "Sudanese" ] } ] ]

[ " LOCATION.IN.COUNTRY", " COUNTRY_OF_ENTITY\n\n Explanation:\n The text", " COUNTRY_OF_ENTITY\n or\n LOCATION_OF_", " SERVES\n\n Entities: \n [{'head': ['0',", " NO_RELATION", " NUM_INSTANCES_OF", " COUNTRY_OF_ENTITY\n\n Explanation:\n The text", " LOCATION_OF\n or\n BELONGS_TO\n or", " COUNTRY_OF_ENTITY\n\n Entities: \n [{'", " HOME_OF\n\n Explanation:\n The text states that 'S", " LOCATION_IN.", " LOCATION_OF\n Or\n NO_RELATION (if 'Sud", " LOCATION_OF\n or\n LOCATION_HAS_REGION\n ", " SERVES\n\n Entities: \n [{'head': ['22", " LOCATION_OF\n\n Entities: \n [{'head': ['", " INSTANCE_OF\n or\n NUM_INSTANCES_OF", " LOCATION_OF\n Or\n NO_RELATION\n (Answer", " LOCATION_OF\n or\n BELONGS_TO\n or", " LOCATION_OF\n or\n COUNTRY_OF\n or\n", " BELONGS_TO", " LOCATION", " LOCATION", " SERVES\n\n Explanation:\n The text states that 'Sud", " SHAPES_FUTURE", " LOCATION\n\n Explanation:\n The text mentions that 'S", " LOCATION_OF\n or\n BELONGS_TO\n or", " SERVED_BY\n or\n WORSHIPPED\n or\n", " SHAPES_FUTURE", " SERVES_IN\n\n Explanation:\n The text mentions that", " SERVES_IN\n\n Explanation:\n The text mentions that", " SERVES\n\n Explanation:\n The text states that 'Sud", " SERVES\n\n Explanation:\n The text states that 'Sud", " SERVES\n\n Entities: \n [{'head': ['Sud", " SERVES_WITH_NUM_INSTANCES", " SERVES\n\n Explanation:\n The text states that 'Sud", " SERVES\n\n Entities: \n [{'head': ['10", " SERVES\n\n Explanation:\n The text states that 'Sud", " SERVED_BY\n\n Explanation:\n The text mentions that '", " LOCATION.\n\n Explanation:\n The text mentions that there", " LOCATION_OF.", " SERVES\n\n Entities: \n [{'head': ['22", " BELONGS_TO", " NUM_INSTANCES_IN_REGION", " NUM_INSTANCES_IN_LOCATION", " SERVES\n\n Explanation:\n The text mentions that 'trained", " NUM_INSTANCES_OF", " LOCATION", " LOCATION", " SERVED_BY\n or\n WORSHIPPED\n or\n", " SHAPES_FUTURE", " LOCATION_OF\n or\n BELONGS_TO\n or", " LOCATION_OF\n or\n BELONGS_TO\n or", " SERVED_BY\n or\n WORSHIPPED\n\n Ex", " SERVES\n\n Explanation:\n The text describes how Christian leaders in", " LOCATION", " LOCATION", " SERVES\n\n Explanation:\n The text states that 'Sud", " CHRISTIANITY_OF\n\n Explanation:\n The text", " LOCATION_OF\n or\n BELONGS_TO\n or", " PART_OF\n\n Explanation:\n The text states that 'Sud", " CHRISTIANITY_OF_SUDANESE", " SHAPES_FUTURE_OF", " SERVES\n\n Explanation:\n The text mentions that 'S", " NEEDS\n\n Explanation:\n The text states that 'Trained", " PROVIDES_FOR\n\n Explanation:\n The text states that there are", " CHRISTIANITY_OF Sudanese", " CHRISTIANITY_IS_A_RELIGION_OF_CHR", " CHRISTIANITY_OF_SUDANESE" ]

[ [ "0", "1", "GPE", "Sudan" ], [ "2", "3", "LOC", "Africa" ], [ "4", "5", "NORP", "Sudanese" ], [ "5", "6", "NORP", "Christian" ], [ "22", "23", "PERSON", "Jesus" ], [ "66", "67", "WORK_OF_ART", "Bible" ], [ "74", "76", "CARDINAL", "around 50" ], [ "83", "84", "NORP", "Sudanese" ], [ "100", "101", "NORP", "Christian" ], [ "135", "136", "NORP", "Sudanese" ], [ "136", "137", "ORG", "Christianity" ] ]

[ "top of page\nVinyl is back. Or maybe it never went away. There is something about holding an album in your hands that makes music seem more real. Ask any record-collecting audiophile and you will learn that LPs sound warmer and you can hear the subtle sounds of the instruments, and in this case, the dimensions of Delbert's legendary voice. Stock up on these limited LPs for wonderful gifts and to complete your collection of All Things Delbert.\nFor international orders:\nPlease note that duties and taxes for the shipment are not included in the shipping cost,\nand the customer is responsible for them upon arrival.\nWhat is 180 gram vinyl?\nClick here to learn all about it.\nbottom of page" ]

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[ [ { "head": [ "65", "66", "PERSON", "Delbert" ], "tail": [ "85", "88", "WORK_OF_ART", "All Things Delbert" ] } ], [ { "head": [ "65", "66", "PERSON", "Delbert" ], "tail": [ "126", "128", "QUANTITY", "180 gram" ] } ], [ { "head": [ "85", "88", "WORK_OF_ART", "All Things Delbert" ], "tail": [ "65", "66", "PERSON", "Delbert" ] } ], [ { "head": [ "126", "128", "QUANTITY", "180 gram" ], "tail": [ "65", "66", "PERSON", "Delbert" ] } ] ]

[ " CREATED_BY", " HAS_QUANTITY", " CREATED_BY", " PRODUCES" ]

[ [ "65", "66", "PERSON", "Delbert" ], [ "85", "88", "WORK_OF_ART", "All Things Delbert" ], [ "126", "128", "QUANTITY", "180 gram" ] ]

[ "KEEP UP WITH OUR DAILY AND WEEKLY NEWSLETTERS\na diverse digital database that acts as a valuable guide in gaining insight and information about a product directly from the manufacturer, and serves as a rich reference point in developing a project or scheme.\nread on as westman takes us through his vision that bursts with color, curves, and quirky aesthetics.\nfornasetti's intricate celestial illustrations swirl across poltrona frau's 'vanity fair XC' armchair in this inaugural collaboration.\nwith filmmaker david lynch leading a new cultural approach, milan's salone del mobile is back in full swing from april 16th to 21st, 2024.\nthe collection transforms bouroullec's vibrant strokes into dynamic colors, organic forms, and intricate pleats, adorning models in shirts, coats, and scarves." ]

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"PERSON", "westman" ], "tail": [ "79", "83", "PRODUCT", "vanity fair XC'" ] } ], [ { "head": [ "50", "51", "PERSON", "westman" ], "tail": [ "92", "94", "PERSON", "david lynch" ] } ], [ { "head": [ "50", "51", "PERSON", "westman" ], "tail": [ "100", "101", "ORG", "milan" ] } ], [ { "head": [ "50", "51", "PERSON", "westman" ], "tail": [ "102", "105", "ORG", "salone del mobile" ] } ], [ { "head": [ "50", "51", "PERSON", "westman" ], "tail": [ "111", "117", "DATE", "april 16th to 21st, 2024" ] } ], [ { "head": [ "50", "51", "PERSON", "westman" ], "tail": [ "122", "123", "ORG", "bouroullec" ] } ], [ { "head": [ "68", "69", "PERSON", "fornasetti" ], "tail": [ "6", "7", "DATE", "WEEKLY" ] } ], [ { "head": [ "68", "69", "PERSON", "fornasetti" ], "tail": [ "50", "51", "PERSON", "westman" ] } ], [ { "head": [ "68", "69", "PERSON", "fornasetti" ], "tail": [ "75", "78", "ORG", "poltrona frau's" ] } ], [ { "head": [ "68", "69", "PERSON", "fornasetti" ], "tail": [ "79", "83", "PRODUCT", "vanity fair 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mobile" ] } ], [ { "head": [ "92", "94", "PERSON", "david lynch" ], "tail": [ "111", "117", "DATE", "april 16th to 21st, 2024" ] } ], [ { "head": [ "92", "94", "PERSON", "david lynch" ], "tail": [ "122", "123", "ORG", "bouroullec" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "6", "7", "DATE", "WEEKLY" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "50", "51", "PERSON", "westman" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "68", "69", "PERSON", "fornasetti" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "75", "78", "ORG", "poltrona frau's" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "79", "83", "PRODUCT", "vanity fair XC'" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "92", "94", "PERSON", "david lynch" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "102", "105", "ORG", "salone del mobile" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "111", "117", "DATE", "april 16th to 21st, 2024" ] } ], [ { "head": [ "100", "101", "ORG", "milan" ], "tail": [ "122", "123", "ORG", "bouroullec" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "6", "7", "DATE", "WEEKLY" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "50", "51", "PERSON", "westman" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "68", "69", "PERSON", "fornasetti" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "75", "78", "ORG", "poltrona frau's" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "79", "83", "PRODUCT", "vanity fair XC'" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "92", "94", "PERSON", "david lynch" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "100", "101", "ORG", "milan" ] } ], [ { "head": [ "102", "105", "ORG", "salone del mobile" ], "tail": [ "111", "117", "DATE", "april 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[ " TAKES_NEWSLETTER_FROM\n or\n WRITES_", " CREATES_ARTWORK_FOR\n\n Explanation:\n The", " PUBLISHES_COLLECTION_BY", " LEADS", " BACK_IN_FULL_SWING\n\n Explanation:\n The", " BACK_IN_FULL_SWING_FROM\n OR, you could also use", " COLLABORATION", " PUBLISHES_REGULARLY", " CREATES\n\n Explanation:\n The text states that \"west", " CREATES", " DESIGNED_BY", " LEADS", " LEADS", " LEADS", " LEADS\n\n Explanation:\n In the context of the text,", " COLLABORATOR", " PUBLISHES_REGULARLY", " TAKES_VISION_FROM\n\n Explanation:\n In the", " COLLABORATOR", " CREATES", " LEADS", " COLLABORATION_WITH", " COLLABORATION", " EXHIBITS_AT", " COLLABORATOR", " PUBLISHES_REGULARLY", " TAKES_VISION_FROM", " COLLABORATOR", " MANUFACTURER_OF\n\n Explanation:\n The", " LEADS_PROJECT\n\n Explanation:\n The text mentions", " LOCATION_OF\n\n Explanation:\n The text mentions that", " HOSTED_BY", " HOSTS\n\n Explanation:\n The text mentions that \"mil", " COLLABORATOR", " CREATED_BY", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " COLLABORATION", " COLLABORATION", " COLLABORATOR", " LEADS\n\n Explanation:\n In the context of the text,", " LEADS", " LEADS\n\n Explanation:\n In the context, \"with film", " LEADS_BRAND", " LEADS_PRODUCT_DEVELOPMENT", " LEADS\n\n Explanation:\n The text mentions that \"fil", " LEADS\n\n Explanation:\n In the context, \"from April", " LEADS\n\n Explanation:\n In the context of the text,", " LEADS\n\n Explanation:\n In the context of the text,", " HOSTS\n\n Explanation:\n The text mentions that \"mil", " TAKES_APPROACH_OF\n\n Explanation:\n In", " COLLABORATOR", " HOSTS_EVENT\n\n Explanation:\n The text mentions that", " HOST_OF\n\n Explanation:\n The text mentions that \"", " LEADS", " HOSTS", " HOSTS\n\n Explanation:\n The text mentions that \"mil", " COLLABORATOR", " PUBLISHES_REGULARLY", " TAKES_PLACE_AT", " COLLABORATOR", " COLLABORATOR", " COLLABORATION", " LEADS", " LOCATION.\n\n Explanation:\n The text mentions that \"", " HOLDS_DATE", " COLLABORATOR", " TAKES_PLACE_DURING", " COLLABORATION", " HOLDS_EVENT", " LEADS", " HOSTS\n\n Explanation:\n The text mentions that \"mil", " HAPPENS_IN", " DESIGNED_BY", " PUBLISHES_REGULARLY", " TRANSFORMS", " COLLABORATOR", " DESIGNED_BY", " DESIGNED_BY", " LEADS", " HOSTS", " COLLABORATOR", " HOSTS\n\n Explanation:\n The text mentions that \"mil" ]

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[ "If Lil Boosie wrote more than a thousand songs in prison, we sincerely hope at least four hundred of them are about LSU football. Furthermore, we hope this leads to the first official Les Miles verse on a hip-hop record, and then progresses to a level of involvement not seen between rapper and football program since the days of Master P attempting to turn LSU into private stock for his failed career as a sports agent. Gerry DiNardo couldn't handle it because he wasn't street enough, but Les Miles is no Gerry DiNardo, who never required wiping down, has never been out chea or even over there, and could not be classified in any way as a bad azz.\nAlso, there's this:\nProsecutors have stated that they believe the rapper may have been involved in at least five other murders.\nWe are doing the S-E-C chant as hard as we possibly can right now." ]

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"PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "1", "3", "PERSON", "Lil Boosie" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "4", "8", "CARDINAL", "more than a thousand" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "15", "19", "CARDINAL", "at least four hundred" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "4", "8", "CARDINAL", "more than a thousand" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "15", "19", "CARDINAL", "at least four hundred" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "23", "24", "ORG", "LSU" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "34", "35", "ORDINAL", "first" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "4", "8", "CARDINAL", "more than a thousand" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "15", "19", "CARDINAL", "at least four hundred" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "36", "38", "PERSON", "Les Miles" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "4", "8", "CARDINAL", "more than a thousand" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "15", "19", "CARDINAL", "at least four hundred" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "65", "67", "PERSON", "Master P" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "4", "8", "CARDINAL", "more than a thousand" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "15", "19", "CARDINAL", "at least four hundred" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "70", "71", "ORG", "LSU" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "4", "8", "CARDINAL", "more than a thousand" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "15", "19", "CARDINAL", "at least four hundred" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "83", "85", "PERSON", "Gerry DiNardo" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "4", "8", "CARDINAL", "more than a thousand" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "15", "19", "CARDINAL", "at least four hundred" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ], [ { "head": [ "97", "99", "PERSON", "Les Miles" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "4", "8", "CARDINAL", "more than a thousand" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "15", "19", "CARDINAL", "at least four hundred" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "100", "103", "PERSON", "no Gerry DiNardo" ], "tail": [ "154", "157", "CARDINAL", "at least five" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "1", "3", "PERSON", "Lil Boosie" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "23", "24", "ORG", "LSU" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "36", "38", "PERSON", "Les Miles" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "65", "67", "PERSON", "Master P" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "70", "71", "ORG", "LSU" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "83", "85", "PERSON", "Gerry DiNardo" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "97", "99", "PERSON", "Les Miles" ] } ], [ { "head": [ "154", "157", "CARDINAL", "at least five" ], "tail": [ "100", "103", "PERSON", "no Gerry DiNardo" ] } ] ]

[ " WRITTEN_MORE_THAN\n\n Entities: \n ", " HAS_PROPERTY", " ASSOCIATED_WITH", " HOPED_FOR_FIRST_VERSE_OR_ROLE", " HOPED_TO_WORK_WITH", " ATTEMPTED_TO_RECRUIT", " FOUND_IN. This relation indicates that the head entity (Lil Boosie)", " NO_RELATION", " HOPED_FOR_INVOLVEMENT", " MENTIONED_IN_CONTEXT", " INVOLVED_IN", " WRITTEN_MORE_THAN\n\n [{'head': ['1", " WRITTEN_ABOUT", " HOPED_FOR_INVOLVEMENT", " MENTIONED_IN_TEXT", " WRITTEN_ABOUT", " NO_RELATION", " HOPED_FOR_INVOLVEMENT", " DIFFERENT_FROM", " WRITTEN_ABOUT", " HOPED_FOR_PRODUCTION_OF_MUSIC_ABOUT_", " HOPED_FOR_INVOLVEMENT", " HOPED_FOR_CREATION_BY_HEAD_OF_WORK_BY_", " HOPED_FOR_PRODUCTION_OF_MUSIC_ABOUT_", " HOPED_TO_INVOLVE_IN_VERSE_OR_PROJECT", " HOPES_FOR\n or\n HAS_HOPES_FOR\n", " HOPES_FOR\n\n Explanation:\n The text expresses a", " SINGER_OF_SONGS_ABOUT\n OR:\n AFF", " WRITTEN_ABOUT", " HOPES_FOR\n OR\n ASSOCIATED_WITH\n OR", " HOPES_FOR\n\n Entities: \n [{'head': ['", " FOUNDATIONAL_ENTITY_OF\n ORG_IS_FOUNDATION", " ASSOCIATED_WITH", " FOOTBALL_TEAM_OF.", " ORG_MEMBER_OF\n\n Explanation:\n Gerry Di", " FOUNDATIONAL_ORGANIZATION_OF\n ORG_MEMBER", " ASSOCIATED_WITH", " MENTIONED_IN_CONTEXT\n\n Explanation:\n The text", " WRITTEN_ABOUT", " HOPED_FOR_MUSIC_ABOUT_ORG.", " HOPED_FOR_INVOLVEMENT", " ATTEMPTED_TO_RECRUIT", " HOPED_FOR_ASSOCIATION", " NOT_COMPATIBLE_WITH_INPUT_FORMAT \n\n The input format", " HOPED_FOR_INVOLVEMENT", " NO_RELATION", " HOPED_FOR_INVOLVEMENT", " WRITTEN_ABOUT", " HOPES_FOR\n or\n EXPECTS\n or\n WIS", " ASSOCIATED_WITH", " FIRST_OF\n\n Explanation:\n The text states that \"", " COMPETES_AGAINST\n or\n RIVAL\n\n Ex", " ASSOCIATED_WITH", " DIFFERENT_FROM", " SAME_PERSON", " DIFFERENT_FROM", " INVOLVED_IN\n # This text is about Les Miles being possibly involved in at", " FRIEND\n\n Explanation:\n The text mentions that Master P", " WRITTEN_MORE_THAN\n\n Entities: \n ", " HOPED_FOR_CREATION_OF_X_ABOUT_Y\n ", " ATTEMPTED_TO_ASSOCIATE", " ATTEMPTED_TO_BECOME\n\n Explanation:\n ", " ATTEMPTED_TO_RECRUIT", " ATTEMPTED_TO_ASSOCIATE", " DIFFERENT_FROM", " ATTEMPTED_TO_RECRUIT", " DIFFERENT_FROM", " SUSPECTED_OF\n Or\n NO_RELATION (if Master P", " SINGER_OF_SONGS_ABOUT\n OR\n ASSOCI", " WRITTEN_ABOUT", " HOPES_FOR\n OR\n ASSOCIATED_WITH\n OR", " FOUNDATIONAL_RELATION.ORGANIZATION_PART_OF.OR", " HOPED_FOR_FIRST_OFFICIAL_VERSE", " FOUNDER_OF\n OR:\n AFFILIATED_WITH", " ASSOCIATED_WITH", " ORG_MEMBER_OF\n\n Explanation:\n Gerry Di", " FOUNDER_OF\n or\n AFFILIATED_WITH\n ", " ASSOCIATED_WITH", " ASSOCIATED_WITH", " DIFFERENT_FROM", " COULD_NOT_HANDLE", " HOPED_FOR_INVOLVEMENT", " COULD_NOT_HANDLE, or NO_RELATION if not applicable.", " NO_RELATION", " NOT_A_RELATION\n\n Explanation:\n The text does not", " NOT_A_RELATION\n\n Explanation:\n The text does not", " COULD_NOT_HANDLE, or NO_RELATION if not applicable.", " NOT_A_RELATION\n\n Explanation:\n The text does not", " NOT_A_RELATION\n\n Explanation:\n The text does not", " INVOLVED_IN.", " HOPED_FOR_INVOLVEMENT", " WRITTEN_ABOUT", " HOPES_FOR\n\n Entities: \n [{'head': ['", " ASSOCIATED_WITH", " FIRST_OF\n\n Explanation:\n The text states that \"", " SAME_PERSON", " COMPETES_AGAINST\n\n Explanation:\n The text ment", " ASSOCIATED_WITH", " DIFFERENT_FROM", " NOT_A_RELATION\n\n Explanation:\n The text does not", " INVOLVED_IN", " MENTIONED_IN_CONTEXT", " WRITTEN_ABOUT\n\n Explanation:\n The text ment", " HOPED_FOR_PRODUCTION_OF_X_NUMBER_OF_SON", " HOPED_FOR_ASSOCIATION", " NO_RELATION", " DIFFERENT_FROM", " COMPETITOR", " HOPED_FOR_ASSOCIATION", " NOT_A_RELATION\n\n Explanation:\n The text does not", " DIFFERENT_FROM", " INVOLVED_IN\n Or\n NO_RELATION\n\n (An", " INVOLVED_IN", " INVOLVED_IN", " BELIEVED_TO\n or\n ALLEGEDLY_IN", " INVOLVED_IN", " INVOLVED_IN", " BELIEVED_TO_BE_INVOLVED_IN.", " BELIEVED_TO\n or\n ALLEGEDLY_IN", " BELONGS_TO\n\n Explanation:\n The text mentions" ]

[ [ "1", "3", "PERSON", "Lil Boosie" ], [ "4", "8", "CARDINAL", "more than a thousand" ], [ "15", "19", "CARDINAL", "at least four hundred" ], [ "23", "24", "ORG", "LSU" ], [ "34", "35", "ORDINAL", "first" ], [ "36", "38", "PERSON", "Les Miles" ], [ "65", "67", "PERSON", "Master P" ], [ "70", "71", "ORG", "LSU" ], [ "83", "85", "PERSON", "Gerry DiNardo" ], [ "97", "99", "PERSON", "Les Miles" ], [ "100", "103", "PERSON", "no Gerry DiNardo" ], [ "154", "157", "CARDINAL", "at least five" ] ]

[ "THE 2023 HUMANS TO MARS SUMMIT\nan Explore Mars Event\nMay 16-18, 2023\nThe National Academy of Sciences Building\nShahreen Reza is the CEO and Co-Founder of Astreas, the first commercial company focused on employing nutritional countermeasures to promote human health in space. Astreas engineers food products and production systems that redefine the multisensory pleasure of food in space and create infrastructure for deep-space exploration. Prior to Astreas, Reza's first start-up, PurifAid, was a cleantech water company that used the byproduct of Scotch Whisky to decontaminate industrially polluted water in Europe and took the technology to the villages of Bangladesh to tackle the arsenic water crisis." ]

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[ " LOCATION", " ORGANIZED_BY", " SPONSOR", " SPONSOR", " SPONSOR", " CEOS_OF\n Or, if you prefer, you can use the following format:", " PAST_WORKED_FOR", " TEMP_LOCATION", " NO_RELATION.", " LOCATION", " SPEAKER", " EVENT_DATE_OF\n\n Or, if no relation exists:\n\n NO", " EVENT_DATE_OF\n\n Or, if no relation exists:\n\n NO", " EVENT_DATE_OF\n\n Explanation:\n The text mentions that", " ATTENDED\n\n Explanation:\n The text states that Shahreen", " PAST_WORKED_FOR", " TAKEN_PLACE_IN", " TEMP_LOCATION\n\n Explanation:\n The text mentions that", " LOCATION_AT.\n\n Entities: \n [{'head':", " LOCATION", " LOCATION_OF\n ORGANIZATION_OF\n ORG_", " LOCATION_OF", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n OR:\n HOSTED_BY", " USED_FOR_PRODUCTION", " TAKEN_TECHNOLOGY_TO", " TRAVELS_TO", " CELEBRATED_AT", " ORGANIZES", " HOSTED_AT", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDER", " CEO", " FOUNDER", " FOUNDER", " USED_TO_PRODUCE", " Took_technology_to", " TACKLED_BY", " HOSTED_ON", " HOSTED_ON", " HOSTED_AT", " CEO_OF", " COMPANY_FOUNDED_BEFORE", " CO_FOUNDER", " CO-FOUNDER", " CEO_OF", " COMPANY_FOUNDED_BY_PERSON", " PREVIOUS_COMPANY", " USED_FOR_PRODUCTION", " Took_technology_to", " TAKEN_TECHNOLOGY_TO", " LOCATION.HOST.ORGANIZATION", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDER", " CO_FOUNDER", " PREVIOUS_COMPANY", " TECHNOLOGY_TRANSFER", " TAKEN_TO", " FOUNDER_OF\n OR\n HOSTED_EVENT_ON\n\n", " HOSTED_BY", " HOSTED_AT", " CEO_OF", " CO_FOUNDER", " COMPANY_FOUNDED_BY_PERSON", " CO_FOUNDER", " CEO_OF", " COMPANY_FOUNDED_BY_PERSON", " PREVIOUS_COMPANY", " USES_BYPRODUCT", " TAKEN_TECHNOLOGY_TO", " TAKEN_TECHNOLOGY_TO", " FOUNDER_OF\n Or, if no relation exists:\n NO_REL", " HOSTED_BY", " HOSTED_AT", " FOUNDER", " CO-FOUNDER", " COMPANY_FOUNDED_BY_PERSON", " CO-FOUNDER", " CEO_OF", " COMPANY_FOUNDED_BEFORE", " PREVIOUS_COMPANY", " USES_BYPRODUCT", " Took_technology_to", " TAKEN_TECH_TO", " HELD_ON.", " ORGANIZED_EVENT\n\n [{'head': ['12', '", " HOSTED_AT", " CEO_OF", " CEO_OF", " FOUNDER", " CEO_OF", " CEO_OF", " FOUNDER", " FOUNDER_OF", " USED_TO_PRODUCE", " Took_technology_to", " TAKEN_TECHNOLOGY_TO", " LOCATION", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDER", " PREVIOUS_COMPANY", " Took_technology_to", " TAKEN_TO", " TAKEN_PLACE_AT", " EVENT_DATE", " LOCATION_OF\n\n Explanation:\n The text mentions that", " FOUNDER", " PREDECESSOR", " PREVIOUS_COMPANY", " PREDECESSOR", " PREDECESSOR", " FOUNDER_OF", " PREVIOUS_COMPANY", " USES_BYPRODUCT", " TARGET_IS_LOCATION_OF\n\n Explanation:\n The", " TAKEN_TO", " PROVIDES_LOCATION", " USED_TO_PRODUCE", " USES_TECHNOLOGY_FROM", " USED_BY", " USED_BY", " USED_BY", " USE_BY_PRODUCT", " USES_BYPRODUCT_FOR_DECONTAMINATION", " TAKEN_TO", " TEMP_LOCATION_OF\n\n Explanation:\n The text ment", " LOCATION_IN.\n Or, if you prefer:\n Europe.in", " LOCATION_IN.", " TOPIC_OF_WORK\n\n Explanation:\n In the text", " TOPIC_OF_BUSINESS\n\n Explanation:\n The", " Took_technology_to", " TOPIC_OF_BUSINESS\n\n Explanation:\n The", " TOPIC_OF_BUSINESS\n\n Explanation:\n The", " TOPIC_OF_WORK\n\n Explanation:\n The text ment", " Took_technology_to", " OCCUPIED_BY\n\n Explanation:\n In the text", " USES_BYPRODUCT", " TAKEN_TO", " TEMP_LOCATION_AT_TIME", " LOCATION_AT.\n This indicates that Bangladesh is the location where the event", " TOPIC_OF_LOCATION\n\n Explanation:\n The text", " TACKLED_BY", " TACKLED_BY", " TACKLED_BY\n OR:\n TOOK_TECHNOLOGY", " TACKLED_BY", " TACKLED_BY", " TACKLED_BY", " TACKLED_BY\n\n Explanation:\n The text mentions that", " TACKLED_BY", " TAKES_TECHNOLOGY_FROM", " TAKEN_TO" ]

[ [ "1", "2", "DATE", "2023" ], [ "12", "18", "DATE", "May 16-18, 2023" ], [ "19", "24", "ORG", "The National Academy of Sciences" ], [ "26", "28", "PERSON", "Shahreen Reza" ], [ "36", "37", "ORG", "Astreas" ], [ "39", "40", "ORDINAL", "first" ], [ "54", "55", "ORG", "Astreas" ], [ "81", "82", "ORG", "Astreas" ], [ "83", "84", "ORG", "Reza" ], [ "85", "86", "ORDINAL", "first" ], [ "90", "91", "ORG", "PurifAid" ], [ "102", "104", "PRODUCT", "Scotch Whisky" ], [ "110", "111", "LOC", "Europe" ], [ "119", "120", "GPE", "Bangladesh" ] ]

[ "Helen Sanger (1923–2020), the Frick Art Reference Library’s first Andrew W. Mellon Chief Librarian, passed away in July at the age of 96. Her forty-seven-year career at the library shaped the institution profoundly, and her legacy lives on in many areas of its initiatives.\nReserve Your Ticket\nFrick Madison is open to the public.\nAdvance tickets are strongly recommended.\nReservations are encouraged for members." ]

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[ " DIED_IN_YEARS\n\n Entities: \n [{'", " HEAD_OF\n or\n DIRECTOR\n or\n CHIE", " FIRST_OF_TYPE", " FIRST_OF_TYPE", " DIED_ON", " DIED_AT", " CAREER_LENGTH", " TRIGGERS_EVENT", " DIED_IN_YEARS", " HEAD_OF\n\n Explanation:\n The text mentions that Helen", " PAST_EMPLOYER", " FIRST_CHIEF_LIBRARIAN", " PAST_EMPLOYED_BY\n\n Explanation:\n The", " FIRST_IN_ORGANIZATION", " FIRST_CHIEF_LIBRARIAN", " PASSED_AWAY_IN", " DIED_AT", " CAREER_LENGTH", " REQUIRES_ACTION", " FIRST_OF\n or\n HEAD_OF\n or\n ", " FIRST_OF", " FIRST_OF", " FUNDING", " PAST_EMPLOYER", " FUNDING", " ANDREW_W_MELLON_IS_FIRST_CHIEF_", " DEATH_MONTH_YEAR_OF.", " DIED_AT", " CAREER_LENGTH", " PROVIDES_SERVICE", " DIED_IN", " PASSED_AWAY_AT\n\n Entities: \n [{'", " PASSED_AWAY_FROM\n\n Explanation:\n The text", " DIED_AT", " PAST_EMPLOYED_BY", " PAST_EMPLOYER", " CAREER_LENGTH", " SERVED_FOR\n\n Explanation:\n The text mentions that Helen", " FIRST_IN_ORG", " SUBJECT_OF\n\n Explanation:\n The text mentions that '", " INITIATOR", " RECOMMENDED_BY" ]

[ [ "0", "2", "PERSON", "Helen Sanger" ], [ "3", "5", "DATE", "1923–2020)" ], [ "6", "12", "ORG", "the Frick Art Reference Library’s" ], [ "12", "13", "ORDINAL", "first" ], [ "13", "16", "ORG", "Andrew W. Mellon" ], [ "22", "23", "DATE", "July" ], [ "24", "28", "DATE", "the age of 96" ], [ "30", "35", "DATE", "forty-seven-year" ], [ "57", "60", "WORK_OF_ART", "Reserve Your Ticket" ] ]

[ "On a sunny day last week Mike Bailey ventured into the Preserve and explored the shoreline from Frautschi Point toward Picnic Point. He was intrigued by the brilliant white of the snow and the dark shadows cast on it by branches and trees—another kind of winter art and beauty displayed in nature. we only have to notice and enjoy.\nMike Bailey wrote: \"It's fun to walk through the snow fifty or a hundred yards out from the shoreline for an entirely different perspective and feel, too. Since it was a perfectly clear, blue sky at first, when a few clouds started appearing, I felt compelled to include them.\" All photos by Mike Bailey.\nGisela Kutzbach and contributors" ]

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[ [ { "head": [ "1", "6", "DATE", "a sunny day last week" ], "tail": [ "6", "8", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "1", "6", "DATE", "a sunny day last week" ], "tail": [ "17", "19", "LOC", "Frautschi Point" ] } ], [ { "head": [ "1", "6", "DATE", "a sunny day last week" ], "tail": [ "20", "22", "LOC", "Picnic Point" ] } ], [ { "head": [ "1", "6", "DATE", "a sunny day last week" ], "tail": [ "65", "67", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "1", "6", "DATE", "a sunny day last week" ], "tail": [ "127", "129", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "1", "6", "DATE", "a sunny day last week" ], "tail": [ "131", "133", "PERSON", "Gisela Kutzbach" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "1", "6", "DATE", "a sunny day last week" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "11", "12", "FAC", "Preserve" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "17", "19", "LOC", "Frautschi Point" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "20", "22", "LOC", "Picnic Point" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "48", "49", "DATE", "winter" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "65", "67", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "78", "83", "QUANTITY", "fifty or a hundred yards" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "107", "108", "ORDINAL", "first" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "127", "129", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "6", "8", "PERSON", "Mike Bailey" ], "tail": [ "131", "133", "PERSON", "Gisela Kutzbach" ] } ], [ { "head": [ "11", "12", "FAC", "Preserve" ], "tail": [ "6", "8", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "11", "12", "FAC", "Preserve" ], "tail": [ "17", "19", "LOC", "Frautschi Point" ] } ], [ { "head": [ "11", "12", "FAC", "Preserve" ], "tail": [ "20", 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"108", "ORDINAL", "first" ], "tail": [ "17", "19", "LOC", "Frautschi Point" ] } ], [ { "head": [ "107", "108", "ORDINAL", "first" ], "tail": [ "20", "22", "LOC", "Picnic Point" ] } ], [ { "head": [ "107", "108", "ORDINAL", "first" ], "tail": [ "65", "67", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "107", "108", "ORDINAL", "first" ], "tail": [ "127", "129", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "107", "108", "ORDINAL", "first" ], "tail": [ "131", "133", "PERSON", "Gisela Kutzbach" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "1", "6", "DATE", "a sunny day last week" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "6", "8", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "11", "12", "FAC", "Preserve" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "17", "19", "LOC", "Frautschi Point" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "20", "22", "LOC", "Picnic Point" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "48", "49", "DATE", "winter" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "65", "67", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "78", "83", "QUANTITY", "fifty or a hundred yards" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "107", "108", "ORDINAL", "first" ] } ], [ { "head": [ "127", "129", "PERSON", "Mike Bailey" ], "tail": [ "131", "133", "PERSON", "Gisela Kutzbach" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "1", "6", "DATE", "a sunny day last week" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "6", "8", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "11", "12", "FAC", "Preserve" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "17", "19", "LOC", "Frautschi Point" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "20", "22", "LOC", "Picnic Point" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "48", "49", "DATE", "winter" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "65", "67", "PERSON", "Mike Bailey" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "78", "83", "QUANTITY", "fifty or a hundred yards" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "107", "108", "ORDINAL", "first" ] } ], [ { "head": [ "131", "133", "PERSON", "Gisela Kutzbach" ], "tail": [ "127", "129", "PERSON", "Mike Bailey" ] } ] ]

[ " WROTE", " ORIGIN_FROM", " NEAR. This text implies that Picnic Point is near the location where the sunny day", " WENT_ON (or PAST_EVENT)", " WROTE", " CONTAIBUTOR", " WENT_ON\n\n Explanation:\n The text states that \"M", " EXPLORED", " ORIGINATED_FROM", " WENT_TO", " TEMP_PROPERTIES_OF_ENTITY_HEAD_EVENT_OCCUR", " SELF_REFERENCE", " WALKS_DISTANCE", " WROTE_ON\n\n Explanation:\n Mike Bailey wrote something", " SELF_REFERENCE", " CONTAIBUTOR", " EXPLORED", " LOCATION_NEARBY", " FROM_LOCATION_TO_LOCATION", " EXPLORED", " EXPLORED", " CONTAINS\n\n Explanation:\n The text mentions that 'G", " EVENT_STARTED_AT", " ORIGINATED_FROM", " LOCATION_NEARS\n\n Explanation:\n The text states", " FROM_TO", " LOCATION_IN_TIME\n\n Explanation:\n The text describes", " ORIGINATED_FROM", " NEAR.", " FROM\n ['Frautschi Point']\n\n TO\n ['first']", " ORIGINATED_FROM", " NO_RELATION", " PRECEDED_BY", " WENT_TO", " FROM\n ['Preserve']\n TO\n ['Picnic Point']\n", " FROM_TO", " LOCATION_IN\n\n Explanation:\n The text mentions that", " WENT_TO", " DISTANCE_FROM_LOCATION", " FROM\n ['Picnic Point']\n TO\n ['first']\n\n", " WENT_TO", " CONTAIBUTED_BY", " EXPERIENCED_DATE", " EVENT_LOCATION", " NEAR_LOCATION", " EXPERIENCED_DATE", " EXPERIENCED_DATE", " CONTAIBUTED_BY", " OCCURRED_ON", " SELF_REFERENCE", " EXPLORED", " ORIGIN_FROM", " WENT_TO", " TEMP_PROCESS\n\n Explanation:\n Mike Bailey (head", " WALKS_DISTANCE", " WROTE_ABOUT", " SELF_REFERENCE", " CONTAIBUTOR", " WALKS_DISTANCE_FROM", " DISTANCE_FROM", " NORTH_OF", " WALKS_DISTANCE_FROM", " WALKS_DISTANCE_FROM", " TAKEN_PHOTOS_OF", " WROTE", " FROM\n ['107', '108']\n TO\n ['", " FROM_LOCATION_TO_LOCATION", " WROTE", " WROTE", " CONTRIBUTED_BY", " OCCURRED_ON", " SELF_REFERENCE", " EXPLORED", " ORIGIN_FROM", " WENT_TO", " TEMP_PROPERTY_OF\n or\n PERSON_HAS_PROPERTY", " SELF_REFERENCE", " WALKS_DISTANCE", " WROTE_ON\n\n Explanation:\n In the text, Mike", " CONTAIBUTOR", " HAPPENED_ON", " CONTRIBUTED_BY", " CONTRIBUTOR_TO\n or\n NO_RELATION (if 'G", " CONTAINS", " CONTAINS", " NO_RELATION", " CONTRIBUTOR", " DISTANCE_FROM_REFERENCE", " CONTRIBUTED_TO", " CONTRIBUTOR" ]

[ [ "1", "6", "DATE", "a sunny day last week" ], [ "6", "8", "PERSON", "Mike Bailey" ], [ "11", "12", "FAC", "Preserve" ], [ "17", "19", "LOC", "Frautschi Point" ], [ "20", "22", "LOC", "Picnic Point" ], [ "48", "49", "DATE", "winter" ], [ "65", "67", "PERSON", "Mike Bailey" ], [ "78", "83", "QUANTITY", "fifty or a hundred yards" ], [ "107", "108", "ORDINAL", "first" ], [ "127", "129", "PERSON", "Mike Bailey" ], [ "131", "133", "PERSON", "Gisela Kutzbach" ] ]

[ "The Mirror Image Digital Clock might help you “reflect” on time you could of spent doing something else. Hardy har! Puns are funny. The Clock has an inverted readout on its base which then reflects into readable numbers using a mirror to project a mirror image.\nBecause of its slightly bent face, which points downwards to the inverted numbers, the mirrored surface acts as a unique messenger boy for your LED numbers. We don’t know how easy this would be to notice by other people who have no idea about its mirror goodness, but at least you’d know how cool you are. Available now for ¥68,250 (appx. $571 USD.) Aye caramba! *whisper* Expensive! — Andrew Dobrow" ]

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[ " DISCOVERED_BY", " DISCOVERED_BY", " PRICE_OF_ENTITY\n\n Explanation:\n The text ment", " PRICE_OF_ENTITY\n or\n HAS_PRICE\n ", " OWNER", " DISCOVERED_PRODUCT", " SELLS\n or\n OWNS\n or\n COSTS", " COSTS" ]

[ [ "0", "5", "PRODUCT", "The Mirror Image Digital Clock" ], [ "29", "30", "PRODUCT", "Clock" ], [ "120", "121", "MONEY", "68,250" ], [ "125", "126", "MONEY", "571" ], [ "138", "140", "PERSON", "Andrew Dobrow" ] ]

[ "A doctorate in naturopathy & yoga & a practising pranic healer , Divya Arora found her creative expression in form of Mithai making through the family business of restaurant and catering . After learning nuances of food business for some years from her husband ,Divya took the family legacy to a different paradigm by introducing “Kesar” , with an intent to create & showcase exotic Indian and fusion sweets and its makers around the world with all new perspective .\nDivya believes that any new business venture is not just another entity but an individual, who needs to be cared like a child during inception , groomed during growth and made independent with time . Her holistic upbringing instills in her the confidence that what ever the mind can conceive , it can achieve !\nShe believes that every being has a unique gift to offer to the world , and they can only discover it by looking within." ]

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[ " CREATES\n or\n FOUNDED\n or\n EST", " SAME_PERSON", " FOUNDED_BY", " CREATOR_OF\n\n Entities: \n [{'head': ['", " SELF", " OWNER", " CREATED_BY", " CREATED_BY", " SAME_AS", " CREATES\n\n Explanation:\n Divya created Mithai", " FOUNDED_BY", " CREATED_BY\n\n Explanation:\n Divya created Kesar", " SELF_REFERENCE", " CREATED_BY", " CREATED_BY", " CREATED_BY", " INDIVIDUAL_OF", " BELONGS_TO", " BELONGS_TO", " SAME_AS", " CREATED_BY", " SELF_REFERENCE", " FOUNDER", " CREATED_BY\n\n Explanation:\n Divya created Kesar" ]

[ [ "12", "14", "PERSON", "Divya Arora" ], [ "21", "22", "NORP", "Mithai" ], [ "45", "46", "PERSON", "Divya" ], [ "57", "58", "PRODUCT", "Kesar" ], [ "68", "69", "NORP", "Indian" ], [ "84", "85", "PERSON", "Divya" ] ]

[ "The World Bank Group is formulating a model new method to assessing the business and investment climate in economies worldwide followingthe discontinuation of the Doing Business project. Updates on the development of the brand new Business Enabling Environment project might be printed on this web site as they become out there. In the interim, this web site will act as a one-stop shop to spotlight a set of curated indicators and assets for customers focused on improving the enterprise surroundings. We face huge challenges to assist the world’s poorest folks and be certain that everybody sees advantages from financial progress.\n- Browse an unrivalled portfolio of real-time and historical market data and insights from worldwide sources and specialists.\n- Governor Gretchen Whitmer and the MEDC awarded 20 small native businesses with a complete of $491,834 in grants to create resiliency and strengthen downtowns.\n- She began by offering security consulting and training providers." ]

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[ " DISCONTINUED_PROJECT\n\n Explanation:\n The text", " FORMULATING_A_MODEL_NEW_METHOD", " AWARDED_GRANT", " AWARDED_GRANTS", " AWARDED_GRANT", " AWARDED_GRANT", " DISCONTINUED_BY", " DISCONTINUED_BY\n\n Explanation:\n The text states", " AWARDED", " REPLACE_ME\n\n The relation between Doing Business and MEDC is", " DISCONTINUED_PROJECT\n\n Entities: \n [{'", " FUNDING", " FORMULATING_METHOD_FOR\n\n Explanation:\n The text", " DISCONTINUED_BY", " AWARDED", " AWARDED", " AWARDED_GRANT", " DISCONTINUED_BY", " AWARDED\n\n Entities: \n [{'head': ['The World", " AWARDED", " AWARDED", " AWARDED", " AWARDED_GRANT", " AWARDED_GRANT", " AWARDED", " AWARDED", " AWARDED", " AWARDED", " FORMULATING_A_MODEL_NEW_METHOD_FOR_ASSESS", " DISCONTINUED_BY", " AWARDED_GRANTS", " AWARDED", " FINANCIAL_ASSISTANCE", " FUNDING", " AWARDED_GRANT", " GRANTED_AMOUNT" ]

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[ "August 2016…The recent death of Mary Seton Corboy brings to a close the remarkable story of a woman who saw problems in her adopted city of Philadelphia and worked to solve them by bringing people together.\nShe was cofounder of Greensgrow Farms, a thriving urban farm that had been an abandoned lot in North Philadelphia and is now a bustling place that supplies people with local, fresh produce and teaches city dwellers about gardening, cooking, and farm animals.\nMs. Corboy was one of the health leaders featured in the first edition of Leading Healthy Change In Our Communities in 2012.\nSpeaking as a cancer survivor, she told the Healthy NewsWorks student interviewer that staying healthy is about more than exercise and eating well but requires having a healthy spirit, mind, and body.\nThe article was titled “Planting gardens and hope in the city.”" ]

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"WORK_OF_ART", "Planting gardens and hope" ], "tail": [ "44", "46", "ORG", "Greensgrow Farms" ] } ], [ { "head": [ "154", "158", "WORK_OF_ART", "Planting gardens and hope" ], "tail": [ "58", "60", "LOC", "North Philadelphia" ] } ], [ { "head": [ "154", "158", "WORK_OF_ART", "Planting gardens and hope" ], "tail": [ "89", "90", "PERSON", "Corboy" ] } ], [ { "head": [ "154", "158", "WORK_OF_ART", "Planting gardens and hope" ], "tail": [ "121", "123", "ORG", "Healthy NewsWorks" ] } ] ]

[ " DIED_IN", " LOCATION", " FOUNDER", " BACKGROUND_EVENT_LOCATION", " DEATH_OF\n\n Entities: \n [{'head': ['8", " FEATURED_IN", " DIED_IN", " ADOPTED_FROM", " COFOUNDER", " FOUNDER_OF", " SAME_AS", " NO_RELATION", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " SPEAKS_WITH", " SUBJECT_OF", " BELONGS_TO", " ADOPTED_BY\n or\n FOUNDED_BY\n or\n", " LOCATION_OF", " LOCATION_IN.", " ADOPTED_BY\n or\n FOUNDED_BY\n or\n", " ADOPTED_LOCATION", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " LOCATION_OF\n\n Explanation:\n The text describes how Philadelphia", " FOUNDING", " COFOUNDER", " LOCATED_IN", " LOCATION_OF", " COFOUNDER", " COFOUNDED", " COFOUNDER", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " SUBJECT_OF. This text describes Greensgrow Farms as the subject of the article", " TOPIC_CHANGE", " FOUNDER", " LOCATION_IN.", " LOCATION_OF", " FOUNDER", " SUPPLIES", " LOCATION_IS_LOCATION_OF\n\n Entities: \n ", " FEATURED_IN", " EVENT_STARTED_AT.", " FEATURED_IN", " LOCATION_OF\n\n Explanation:\n The text describes how North", " DIED_ON", " COFOUNDER", " ADOPTED_FROM", " COFOUNDER", " FOUNDER_OF", " NO_RELATION", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " SUBJECT_OF\n\n Explanation:\n The text describes Mary Seton", " COFOUNDER", " ADOPTED_LOCATION", " COFOUNDER", " LOCATION_OF\n\n Entities: \n [{'head': ['", " COFOUNDER", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " COFOUNDER", " LOCATION_OF\n\n Explanation:\n The text describes how Ms", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " LOCATION.\n\n Explanation:\n The text describes how Ms.", " FEATURED_IN", " LOCATION_OF\n Or\n NO_RELATION (if 'North", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " COFOUNDED", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " PUBLISHED_IN", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " TEACHES_IN\n\n Explanation:\n The text mentions that", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " FEATURED_IN", " TITLED_BY", " SUBJECT_OF.", " LOCATION.\n\n Explanation:\n The head entity \"Plant", " FOUNDER", " LOCATION_OF\n\n Explanation:\n The text describes how Gre", " SUBJECT_OF.", " FEATURED_IN" ]

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[ "Alfred Miles Atlanta S03 Black Brian Tyree Henry Varsity Jacket\nIf you consider yourself a true fashion icon then there is no way that you won’t be owning Varsity Jacket because its features and materials are to die for. It’s truly designed for those who wish to maintain style in their life and look confident.\nPair Alfred Miles Atlanta S03 Black Brian Tyree Henry Varsity Jacket with a nice white shirt and look attractive. The tailoring of this gorgeous jacket is done through a glossy material satin which looks so ethereal and to maintain your comfort levels a viscose lining is used. The collar is rib-knitted and the front consists of buttoned closure to make you look modish." ]

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[ " OWNER", " MANUFACTURER", " SELF_REFERENCE", " OWNER", " DESIGNED_FOR", " OWNER_OF", " DESIGNED_BY", " NO_RELATION", " PRODUCED_BY", " PRODUCED_BY", " PRODUCED_BY", " PRODUCED_BY", " MANUFACTURER", " MANUFACTURER_OF\n or\n PRODUCES\n", " PRODUCER_OF", " MANUFACTURER_OF\n OR:\n PRODUCES", " PRODUCER_OF", " NO_RELATION", " OWNER_OF", " DESIGNED_BY" ]

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[ "This is part a series of stories looking back on how the top New England prep school boys' hockey teams performed in the 2019-20 season and what lies ahead over the summer.\nDexter Southfield had another standout season in 2019-20.\nWhat else can you say about a team that bangs out 25 wins in 30 games, holds down No. 1 in the New England Hockey Journal coaches poll for most of the season, and makes it all the way to the finals of the Stuart/Corkery Elite 8 tournament?\nLet’s take a closer look back at the season had by Dexter Southfield:" ]

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"116", "118", "PERSON", "Dexter Southfield" ], "tail": [ "112", "114", "DATE", "the season" ] } ] ]

[ " SEASON_OF\n\n Explanation:\n The text describes Dex", " TIME_PERIOD_AFTER_EVENT\n\n Explanation:\n ", " LOCATED_IN", " SEASON_OF\n\n Explanation:\n The text describes Dex", " NEW_ENGLAND_HAS_25_WINS", " NEW_LOCATION_IN_REGION", " LOCATION_IN_REGION", " PUBLISHES", " BELONGS_TO", " TOURNAMENT_HOSTED_BY", " BELONGS_TO", " LOCATED_IN", " SEASON_IN\n\n Explanation:\n The text describes Dex", " SEASON_OF\n\n Explanation:\n The text describes the stand", " PUBLISHED_BY", " PARTICIPATED_IN", " SEASON_OF\n\n Explanation:\n The text describes Dex", " TEMP_LOCATION_IN\n\n Explanation:\n The text describes", " HAD_SEASON", " PUBLISHED_BY", " FINALIST_OF", " HAD_SEASON", " LOCATION_IN_REGION", " HAD_SEASON", " HAS_EVENT", " HAD_SEASON", " HAS_WIN_COUNT\n\n Explanation:\n The text mentions", " HAS_NUMBER_OF_VICTORIES", " TEAM_RANKED_NUMBER_ONE", " PUBLISHED_BY", " HAD_SEASON", " PARTICIPANT_IN", " HAD_SEASON", " SELF_REFERENCE", " SEASON_IN\n\n Explanation:\n The text describes Dex", " SEASON_OF", " PUBLISHED_BY", " FINALIST_OF", " SEASON_OF", " HAD_SEASON_IN", " TEAM_WON_GAMES_COUNT\n or\n HAD_", " PUBLISHED_BY", " PARTICIPANT_IN", " TEAM_WON_GAMES_COUNT\n or\n HAD_", " HOSTED_IN", " TEAM_HAS_SEASON", " PUBLISHES", " TOURNAMENT_FINALIST", " TEAM_HAS_SEASON", " HOMETOWN\n\n Explanation:\n The text mentions that D", " TEAM_NAME_OF\n\n Explanation:\n The text mentions", " PUBLISHES", " TOURNAMENT_FINALIST", " TEAM_NAME_OF\n\n Explanation:\n The text mentions", " PUBLISHES_IN", " PUBLISHED_IN.", " PUBLISHES_ARTICLE_ABOUT", " PUBLISHED_BY", " PUBLISHED_IN_SEASON", " PUBLISHED_ARTICLE_ABOUT", " PUBLISHES_POLL", " PUBLISHED_BY", " PUBLISHED_ABOUT", " PUBLISHED_IN\n\n Explanation:\n The text ment", " PUBLISHED_ABOUT", " PUBLISHED_BY", " TEMP_LOCATION_IN_REGION", " HAD_SEASON", " PUBLISHED_BY", " TOURNAMENT_FINALIST", " HAD_SEASON", " HOSTED_IN", " TOURNAMENT_FINALS_OF", " TOURNAMENT_FINALS", " PARTICIPANT_IN", " TOURNAMENT_FINALS_IN_YEAR", " TOURNAMENT_WON_BY_TEAM", " TOURNAMENT_FINALS", " TOURNAMENT_FINALIST", " PAST_EVENT_POLLED_BY", " TOURNAMENT\n\n Explanation:\n The text describes Dexter", " TOURNAMENT\n\n Explanation:\n The text mentions that D", " PARTICIPANT_IN", " TEMP_LOCATION_IN_REGION", " SEASON_OF\n\n Explanation:\n The text describes the season", " PUBLISHED_BY", " FINALIST_OF", " SEASON_OF\n\n Explanation:\n The text describes the season", " LOCATION_IN\n\n Explanation:\n The text describes Dex", " HAD_SEASON", " HAS_EVENT", " SELF_REFERENCE", " HAD_SEASON", " HAS_WIN_COUNT\n\n Explanation:\n The text mentions", " HAS_NUMBER_OF_VICTORIES", " TEAM_PERFORMED_SEASON", " PUBLISHED_BY", " HAD_SEASON", " PARTICIPANT_IN", " HAD_SEASON" ]

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[ "Mabel Andalón received her PhD in Policy Analysis and Management from Cornell University in 2010. She was appointed as a Research Fellow in the Economics Department at the University of Melbourne in October 2009. She is also a member of the Asian Economic Centre at the University of Melbourne. Mabel has worked as a consultant for the World Bank and the United Nations Development Programme.\nHer research interests lie at the intersection of health, development and labor economics. She is currently looking at the effects of unhealthy behaviors on labor outcomes, the impact of internal migration on health indicators of those left behind, and the effect of education policies on child labour and adult labour outcomes in developing countries.\nShe joined IZA as a Research Affiliate in April 2009 and became a Research Fellow in January 2013." ]

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[ " RECEIVED_DEGREE", " RECEIVED_DEGREE", " APPOINTED_AT.", " AFFILIATION", " APPOINTED_AT", " MEMBER_OF", " AFFILIATION", " SELF_REFERENCE", " WORKED_FOR", " 'HAS_WORKED_FOR'", " MEMBER_OF", " JOINED", " BECAME_RESEARCH_FELLOW", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " APPOINTED_AT.", " RECEIVED_EDUCATION_AT", " APPOINTED_AT", " MEMBER_OF", " RECEIVED_EDUCATION_AT", " RECEIVED_DEGREE", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF\n OR\n AFFILIATE", " JOINED", " JOINED", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " APPOINTED_AT", " APPOINTED_AT", " MEMBER_OF", " APPOINTED_AT", " RECEIVED_DEGREE", " WORKED_FOR", " WORKED_FOR", " JOINED", " APPOINTED_AT.", " APPOINTED_AT.\n\n Explanation:\n Mabel Andal", " APPOINTED_AFTER", " APPPOINTED_AT", " APPOINTED_AT", " MEMBER_OF", " APPOINTED_AT.", " APPOINTED_AT.", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF", " JOINED", " BECAME_RESEARCH_FELLOW", " APPPOINTED_AT.", " EDUCATED_AT", " RECEIVED_DEGREE", " APPOINTED_AT.", " APPOINTED_AT", " MEMBER_OF", " MEMBER_OF", " AFFILIATION", " WORKED_FOR", " HAS_WORKED_FOR", " MEMBER_OF", " JOINED", " BECAME_RESEARCH_FELLOW", " APPOINTED", " RECEIVED_DEGREE", " APPOINTED_AT", " APPOINTED_AT", " MEMBER_OF", " APPOINTED_AT", " APPOINTED", " WORKED_FOR", " WORKED_FOR", " APPOINTED_BY", " MEMBER_OF", " MEMBER_OF", " RECEIVED_DEGREE", " MEMBER_OF", " MEMBER_OF", " APPOINTED_AT", " MEMBER_OF", " MEMBER_OF", " HAS_AFFILIATION", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " APPPOINTED_AT.", " EDUCATED_AT", " RECEIVED_DEGREE", " APPOINTED_AT. This is the relation between the head entity (the University of Melbourne", " MEMBER_OF", " APPOINTED_AT", " MEMBER_OF", " APPPOINTED_AT.", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF", " JOINED", " MEMBER_OF\n or\n AFFILIATION\n\n Explan", " SELF_REFERENCE", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " APPOINTED_AT.", " AFFILIATION", " APPOINTED_AT", " MEMBER_OF", " AFFILIATION", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF\n or\n AFFILIATE", " JOINED", " BECAME_RESEARCH_FELLOW", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_AFFILIATION", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " CONSULTED_FOR", " JOINED", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " JOINED", " BECAME_RESEARCH_FELLOW", " MEMBER_OF", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE", " MEMBER_OF", " MEMBER_OF", " APPOINTED_AT", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF\n\n Explanation:\n Mabel is a member of", " WORKED_FOR", " HAS_WORKED_FOR", " JOINED", " BECAME_RESEARCH_FELLOW", " JOINED", " RECEIVED_DEGREE_FROM", " JOINED", " JOINED", " MEMBER_OF", " JOINED", " JOINED", " CONSULTED_FOR", " WORKED_FOR", " JOINED", " JOINED", " ALMA_MATER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " JOINED", " WORKED_FOR", " WORKED_FOR", " JOINED" ]

[ [ "0", "2", "PERSON", "Mabel Andalón" ], [ "11", "13", "ORG", "Cornell University" ], [ "14", "15", "DATE", "2010" ], [ "24", "27", "ORG", "the Economics Department" ], [ "28", "32", "ORG", "the University of Melbourne" ], [ "33", "35", "DATE", "October 2009" ], [ "42", "46", "ORG", "the Asian Economic Centre" ], [ "47", "51", "ORG", "the University of Melbourne" ], [ "52", "53", "PERSON", "Mabel" ], [ "59", "62", "ORG", "the World Bank" ], [ "63", "68", "ORG", "the United Nations Development Programme" ], [ "132", "133", "ORG", "IZA" ], [ "138", "140", "DATE", "April 2009" ], [ "146", "148", "DATE", "January 2013" ] ]

[ "- This event has passed.\nStand Up Break In at The Riot Theater\nFebruary 18, 2016 @ 9:30 pm - 11:00 pm$5\nStand Up Break In is The Riot Theater's official standup comedy show, every Thursday at 9:30 PM! Some of the finest Boston comics grace our stage each week, plus two fresh-faced new kids to the craft, perhaps even performing standup for the very first time!\nOur lineup this week:\nZenobia del Mar\nComic Sit-in Laura Severse\nBreak-ins Mindy Mazur and Jeff Medoff\nand headliner Brett Johnson!\nHosted by Danielle Andruskiwec and David Thomas\nThe Jamaica Plain News calendar is open to all local organizations and businesses.\nWe examine all submissions after they go live. Please be sure to include your email address so we can reach you in case there's a problem!" ]

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'Boston' is the location where the 'event' occurred", " PERFORMED_AT", " PERFORMS_AT", " OCCURRED_AT", " PERFORMED_AT", " HEAD_PERFORMED_AT \n or\n EVENT_FEATURED_", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " TIME_OF\n\n Explanation:\n The text describes an event at The", " LOCATION_IN\n\n Explanation:\n The event takes place in", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PARTICIPANT_IN", " HEAD_PERFORMS_AT \n or\n PERFORMS_AT", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_TO", " OWNER_OF", " LOCATION_IN. 'Stand Up Break In' is a standup comedy show that", " PERFORMS_IN", " PARTICIPANT", " PARTICIPANT", " PARTICIPANT", " HEAD_PERFORMS_AT \n or\n PERFORMS_AT", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_EVENT", " OFFICIAL_EVENT", " OFFICIAL_EVENT_OF", " HOSTS\n\n Explanation:\n The text states that \"The R", " HAS_EVENT\n\n Entities: \n [{'head': ['3", " OFFICIAL_EVENT", " HAS_REGULAR_EVENT", " HAS_EVENT_AT", " LOCATED_IN", " HAS_REGULAR_EVENT", " OFFICIAL_EVENT_HAS_NUMBER_OF_NEW_ENTITIES", " OFFICIAL_EVENT_OF", " HAS_EVENT\n\n Explanation:\n The text describes \"The R", " PERFORMS_AT", " PERFORMS_IN", " PARTICIPANT", " PERFORMS_AT", " HEAD_PERFORMS_AT_TAIL", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_TO", " OCCURS_AT", " TAKES_PLACE_IN", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " HEAD_PERFORMS_AT_EVENT\n or\n EVENT_FEATURES", " HOSTS", " HOSTS", " SUBMITTED_TO", " HAS_EVENT\n\n Explanation:\n The text describes \"The R", " TIME_IN_LOCATION", " PERFORMS_AT", " PERFORMS_AT", " PARTICIPANT", " PERFORMS_AT", " HEAD_PERFORMS_AT\n or\n HEAD_IS_HEAD", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " LOCATION_OF\n # This event took place in Boston and Stand Up Break In", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " LOCATION_IN_REGION", " LOCATION_TIME", " LOCATION_OF\n This event took place in Boston and Stand Up Break In is", " LOCATED_IN", " TAKES_PLACE_ON.", " LOCATION_TIME", " OCCURS_IN", " LOCATION_OF\n or\n NUM_PERFORMERS_AT\n", " FINANCIAL_SUPPORT\n\n Explanation:\n The text states that", " LOCATION_IN_REGION", " LOCATED_IN", " FROM_LOCATION", " LOCATION_OF\n or\n ORGANIZED_BY\n\n", " PARTICIPANT_IN", " PERFORMED_AT", " LOCATION_OF\n or\n HOST_OF\n or\n ", " HOSTED_BY", " SUBMITTED_TO", " OCCURS_AT", " OCCURS_IN", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " HEAD_PERFORMS_AT \n or\n PERFORMS_AT", " HOSTS", " HOSTS", " SUBMITTED_TO", " HAS_EVENT\n\n Explanation:\n The text describes \"The R", " FINITE_SET_MEMBER_OF", " PERFORMS_AT", " NEW_PERSON_APPEARING_IN_EVENT", " PERFORMS_IN.", " PERFORMS_IN.", " HEAD_PERFORMS_AT \n or\n PERFORMS_AT", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " WEEKLY_EVENT_OF", " FIRST_IN_LOCATION", " PERFORMS", " NEW_PERSON_APPEARING_IN_SHOW", " PERFORMS_IN.", " PERFORMS_AT", " HEAD_PERFORMS_AT_EVENT\n or\n HEADLINES", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " WILL_BE_HOSTED_BY", " LOCATION_IN\n\n Explanation:\n The entities represent the date", " PERFORMS_AT", " PERFORMER_OF\n\n Explanation:\n The text states that \"", " PERFORMS_IN", " PERFORMS_AT", " HEAD_PERFORMS_AT \n or\n PERFORMS_AT", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " PERFORMS_AT", " PERFORMS_AT", " PERFORMED_ON", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " FROM_LOCATION", " PERFORMS_AT", " PERFORMS_WITH\n\n Explanation:\n The text states that \"", " PERFORMS_FIRST", " PERFORMS_AT", " COMEDIAN_PERFORMS_AT\n\n Explanation:\n In", " PERFORMS_AT", " PERFORMS_AT", " HEAD_PERFORMS_AT_EVENT\n OR:\n HEAD_", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " PERFORMER_OF\n This relation indicates that Laura Severse performed at Stand Up Break", " PERFORMS_AT", " PERFORMS_ON", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " OCCURS_ON", " PERFORMS_AT", " FROM_LOCATION", " PERFORMS_AT", " NEW_PERSON_APPEARING_NUMBER_OF_TIMES", " NEW_PERSON_FIRST_TIME", " PERFORMS_AT", " OPENED_FOR", " COHEADS_WITH", " COMEDIAN_PERFORMS_WITH", " HEAD_PERFORMS_AT_EVENT_TAIL", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " PERFORMER_OF\n\n Explanation:\n Mindy Mazur is", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMER_OF\n This relation indicates that Mindy Mazur performed at Stand Up", " PERFORMS_AT", " OCCURS_ON.", " PERFORMS_AT", " FROM_LOCATION", " OCCURS_EACH_WEEK", " PERFORM_WITH\n\n Explanation:\n Mindy Mazur and two", " PERFORMING_AT", " PERFORMS_AT", " PERFORMS_AT", " COHEADS_WITH", " CO_PERFORMS_WITH", " HEAD_PERFORMS_AT_VENUE_TAIL", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " PERFORMER_OF\n This relation indicates that Jeff Medoff performs at Stand Up Break", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMER_OF\n This relation indicates that Jeff Medoff performs at Stand Up Break", " PERFORMS_AT", " OCCURS_ON", " PERFORMS_AT", " FROM_LOCATION", " OCCURS_EACH_WEEK", " PERFORM_WITH", " NEW_PERSON_FIRST_TIME", " PERFORMS_AT", " PERFORMS_AT", " COHEADS_WITH", " BELONGS_TO\n\n Explanation:\n The text mentions", " HEAD_PERFORMS_AT_EVENT_TAIL", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " HEADLINER", " HEADLINED\n\n Explanation:\n The text states that \"B", " HEAD_PERFORMED_AT\n Tail is the location and the head is", " HEAD_PERFORMS_AT\n or\n PERFORMS_AT\n", " HEADLINER", " HEAD_PERFORMS_AT\n or\n PERFORMS_AT\n", " PERFORMS_AT", " HEAD_PERFORMS_AT\n or\n PERFORMER\n or", " FROM_LOCATION", " HEAD_PERFORMS_AT\n or\n PERFORMER\n or", " HEAD_PERFORMS_AT\n or\n HEAD_IS_HEAD", " HEAD_PERFORMS_AT_EVENT\n or\n HEAD_IS", " HEAD_PERFORMS_AT\n or\n PERFORMER_AT_", " HEAD_PERFORMS_AT \n or \n PERFORMS_", " HEADLINER", " HEADLINER", " HEADLINER", " HEAD_PERFORMS_AT_VENUE\n or\n HEAD", " HEAD_HOSTS_TAIL", " SUBMITTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_ON", " HOSTS", " HOSTED_BY", " HOSTED_BY", " HOSTS", " HOSTS", " HOSTED_IN", " HOSTS", " HOSTS\n\n Explanation:\n Danielle Andruskiwec", " HOSTED_BY", " HOSTS", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " SUBMITTER", " HOSTS", " HOSTED_BY", " HOSTED_BY", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTED_IN", " HOSTS", " HOSTS", " HOSTED_BY", " HOSTS", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " SUBMITTED_BY", " PUBLISHES", " CALENDAR_EVENT_FOR\n\n Explanation:\n The text", " PUBLISHED_ON", " PUBLISHES", " PUBLISHES", " PUBLISHES", " PUBLISHES", " PUBLISHES", " OPEN_IN_GPE \n\n Explanation:\n The text", " PUBLISHES_REGULARLY", " OPEN_FOR_SUBMISSIONS", " SUBMITTED_BY", " PUBLISHES", " SUBMITTED_BY", " SUBMITTED_BY", " SUBMITTER", " SUBMITTER", " SUBMITTED_BY", " SUBMITTER", " HOSTED_BY" ]

[ [ "7", "11", "WORK_OF_ART", "Stand Up Break In" ], [ "12", "15", "FAC", "The Riot Theater" ], [ "16", "20", "DATE", "February 18, 2016" ], [ "21", "26", "TIME", "9:30 pm - 11:00 pm$5" ], [ "27", "31", "WORK_OF_ART", "Stand Up Break In" ], [ "32", "36", "ORG", "The Riot Theater's" ], [ "41", "43", "DATE", "every Thursday" ], [ "44", "46", "TIME", "9:30 PM" ], [ "51", "52", "GPE", "Boston" ], [ "56", "58", "DATE", "each week" ], [ "60", "61", "CARDINAL", "two" ], [ "77", "78", "ORDINAL", "first" ], [ "83", "85", "DATE", "this week" ], [ "87", "90", "ORG", "Zenobia del Mar" ], [ "95", "97", "PERSON", "Laura Severse" ], [ "101", "103", "PERSON", "Mindy Mazur" ], [ "104", "106", "PERSON", "Jeff Medoff" ], [ "109", "111", "PERSON", "Brett Johnson" ], [ "115", "117", "PERSON", "Danielle Andruskiwec" ], [ "118", "120", "PERSON", "David Thomas" ], [ "122", "125", "ORG", "Jamaica Plain News" ] ]

[ "DTA has been canceled due to weather. Dylan LeBlanc and the Pollies were set to kick off tonight’s show along with a performance by Jourdan Thibodeaux et Les Rôdailleurs at 6:00 pm.\nDTA! Street Party will be rescheduled for a later date. Organizers say to keep an eye out for the announcement soon." ]

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[ [ { "head": [ "0", "1", "ORG", "DTA" ], "tail": [ "8", "10", "PERSON", "Dylan LeBlanc" ] } ], [ { "head": [ "0", "1", "ORG", "DTA" ], "tail": [ "12", "13", "ORG", "Pollies" ] } ], [ { "head": [ "0", "1", "ORG", "DTA" ], "tail": [ "18", "19", "TIME", "tonight" ] } ], [ { "head": [ "0", "1", "ORG", "DTA" ], "tail": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ] } ], [ { "head": [ "0", "1", "ORG", "DTA" ], "tail": [ "32", "34", "TIME", "6:00 pm" ] } ], [ { "head": [ "0", "1", "ORG", "DTA" ], "tail": [ "36", "37", "ORG", "DTA" ] } ], [ { "head": [ "8", "10", "PERSON", "Dylan LeBlanc" ], "tail": [ "0", "1", "ORG", "DTA" ] } ], [ { "head": [ "8", "10", "PERSON", "Dylan LeBlanc" ], "tail": [ "12", "13", "ORG", "Pollies" ] } ], [ { "head": [ "8", "10", "PERSON", "Dylan LeBlanc" ], "tail": [ "18", "19", "TIME", "tonight" ] } ], [ { "head": [ "8", "10", "PERSON", "Dylan LeBlanc" ], "tail": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ] } ], [ { "head": [ "8", "10", "PERSON", "Dylan LeBlanc" ], "tail": [ "32", "34", "TIME", "6:00 pm" ] } ], [ { "head": [ "8", "10", "PERSON", "Dylan LeBlanc" ], "tail": [ "36", "37", "ORG", "DTA" ] } ], [ { "head": [ "12", "13", "ORG", "Pollies" ], "tail": [ "0", "1", "ORG", "DTA" ] } ], [ { "head": [ "12", "13", "ORG", "Pollies" ], "tail": [ "8", "10", "PERSON", "Dylan LeBlanc" ] } ], [ { "head": [ "12", "13", "ORG", "Pollies" ], "tail": [ "18", "19", "TIME", "tonight" ] } ], [ { "head": [ "12", "13", "ORG", "Pollies" ], "tail": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ] } ], [ { "head": [ "12", "13", "ORG", "Pollies" ], "tail": [ "32", "34", "TIME", "6:00 pm" ] } ], [ { "head": [ "12", "13", "ORG", "Pollies" ], "tail": [ "36", "37", "ORG", "DTA" ] } ], [ { "head": [ "18", "19", "TIME", "tonight" ], "tail": [ "0", "1", "ORG", "DTA" ] } ], [ { "head": [ "18", "19", "TIME", "tonight" ], "tail": [ "8", "10", "PERSON", "Dylan LeBlanc" ] } ], [ { "head": [ "18", "19", "TIME", "tonight" ], "tail": [ "12", "13", "ORG", "Pollies" ] } ], [ { "head": [ "18", "19", "TIME", "tonight" ], "tail": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ] } ], [ { "head": [ "18", "19", "TIME", "tonight" ], "tail": [ "36", "37", "ORG", "DTA" ] } ], [ { "head": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ], "tail": [ "0", "1", "ORG", "DTA" ] } ], [ { "head": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ], "tail": [ "8", "10", "PERSON", "Dylan LeBlanc" ] } ], [ { "head": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ], "tail": [ "12", "13", "ORG", "Pollies" ] } ], [ { "head": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ], "tail": [ "18", "19", "TIME", "tonight" ] } ], [ { "head": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ], "tail": [ "32", "34", "TIME", "6:00 pm" ] } ], [ { "head": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ], "tail": [ "36", "37", "ORG", "DTA" ] } ], [ { "head": [ "32", "34", "TIME", "6:00 pm" ], "tail": [ "0", "1", "ORG", "DTA" ] } ], [ { "head": [ "32", "34", "TIME", "6:00 pm" ], "tail": [ "8", "10", "PERSON", "Dylan LeBlanc" ] } ], [ { "head": [ "32", "34", "TIME", "6:00 pm" ], "tail": [ "12", "13", "ORG", "Pollies" ] } ], [ { "head": [ "32", "34", "TIME", "6:00 pm" ], "tail": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ] } ], [ { "head": [ "32", "34", "TIME", "6:00 pm" ], "tail": [ "36", "37", "ORG", "DTA" ] } ], [ { "head": [ "36", "37", "ORG", "DTA" ], "tail": [ "0", "1", "ORG", "DTA" ] } ], [ { "head": [ "36", "37", "ORG", "DTA" ], "tail": [ "8", "10", "PERSON", "Dylan LeBlanc" ] } ], [ { "head": [ "36", "37", "ORG", "DTA" ], "tail": [ "12", "13", "ORG", "Pollies" ] } ], [ { "head": [ "36", "37", "ORG", "DTA" ], "tail": [ "18", "19", "TIME", "tonight" ] } ], [ { "head": [ "36", "37", "ORG", "DTA" ], "tail": [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ] } ], [ { "head": [ "36", "37", "ORG", "DTA" ], "tail": [ "32", "34", "TIME", "6:00 pm" ] } ] ]

[ " OPENED_FOR", " OPENED_FOR", " CANCELED_EVENT\n\n Explanation:\n The head entity 'D", " PERFORMS", " SCHEDULED_FOR", " CANCELED_EVENT", " PERFORMS\n\n Explanation:\n The text states that \"Dylan", " OPENED_FOR", " PERFORMS_AT", " OPENED_FOR", " PERFORMS_AT", " PERFORMED_AT", " PERFORMS\n\n Explanation:\n The text states that \"Dylan", " OPENED_FOR", " PERFORMS_AT\n OR:\n NO_RELATION", " OPENED_FOR", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text states that \"Dylan", " SCHEDULED_FOR", " OPENED_FOR", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text states that \"Jour", " SCHEDULED_FOR\n\n Explanation:\n The text states that", " PERFORMS\n\n Explanation:\n The text states that \"Jour", " OPENS_FOR", " OPENS_FOR", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text states that \"Jour", " SCHEDULED_FOR", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " SCHEDULED_FOR", " CANCELED_EVENT", " OPENED_FOR", " OPENED_FOR", " SCHEDULED_FOR\n or\n WAS_SCHEDULED_", " PERFORMS", " START_TIME_OF" ]

[ [ "0", "1", "ORG", "DTA" ], [ "8", "10", "PERSON", "Dylan LeBlanc" ], [ "12", "13", "ORG", "Pollies" ], [ "18", "19", "TIME", "tonight" ], [ "26", "31", "PERSON", "Jourdan Thibodeaux et Les Rôdailleurs" ], [ "32", "34", "TIME", "6:00 pm" ], [ "36", "37", "ORG", "DTA" ] ]

[ "HOLY GRAIL AIR MAX 1 POSTER (50X70CM)\nEverybody knows who the Mary the mother of Jesus is. But this time we've made a sneakerhead out of her. instead of the Immaculate Heart's fire we swapped it for a nike air max 1 OG red sneaker. You can see it as Mary's holy grail.\nThe poster has a vintage look due to the folding lines and old paper look that has been incorporated into the design.\nOriginal full color matte art print 50x70cm (19.68×27.56 inch).\nPaper: Satin with a matte finish, 170 g/m2.\nNote: The frame is for illustrative purposes. The posters and prints are delivered without a frame. Colors may vary due to the setting of your screen." ]

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[ [ { "head": [ "0", "5", "PRODUCT", "HOLY GRAIL AIR MAX 1" ], "tail": [ "14", "15", "PERSON", "Mary" ] } ], [ { "head": [ "0", "5", "PRODUCT", "HOLY GRAIL AIR MAX 1" ], "tail": [ "18", "19", "PERSON", "Jesus" ] } ], [ { "head": [ "0", "5", "PRODUCT", "HOLY GRAIL AIR MAX 1" ], "tail": [ "45", "46", "ORG", "nike" ] } ], [ { "head": [ "0", "5", "PRODUCT", "HOLY GRAIL AIR MAX 1" ], "tail": [ "58", "59", "PERSON", "Mary" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "0", "5", "PRODUCT", "HOLY GRAIL AIR MAX 1" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "18", "19", "PERSON", "Jesus" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "35", "39", "FAC", "the Immaculate Heart's" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "45", "46", "ORG", "nike" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "46", "50", "PRODUCT", "air max 1 OG" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "58", "59", "PERSON", "Mary" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "97", "99", "QUANTITY", "19.68×27.56 inch" ] } ], [ { "head": [ "14", "15", "PERSON", "Mary" ], "tail": [ "110", "114", "QUANTITY", "170 g/m2" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "0", "5", "PRODUCT", "HOLY GRAIL AIR MAX 1" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "14", "15", "PERSON", "Mary" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "35", "39", "FAC", "the Immaculate Heart's" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "45", "46", "ORG", "nike" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "46", "50", "PRODUCT", "air max 1 OG" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "58", "59", "PERSON", "Mary" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "97", "99", "QUANTITY", "19.68×27.56 inch" ] } ], [ { "head": [ "18", "19", "PERSON", "Jesus" ], "tail": [ "110", 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[ " OWNER", " OWNED_BY", " PRODUCED_BY", " OWNER", " HAS_HOLY_GRAIL", " MOTHER_OF", " HAS_OBJECT\n\n Entities: \n [{'head': ['1", " HAS_HOLY_GRAIL", " HAS_HOLY_GRAIL", " SELF_REFERENCE", " HAS_DIMENSIONS", " HAS_PROPERTY", " OWNED_BY", " MOTHER_OF", " MOTHER_OF\n\n Entities: \n [{'head': ['", " DEITY_OF > PERSON > PRODUCES > ORG", " JESUS_HAS_HOLY_GRAIL_AIR_MAX_1", " MOTHER_OF", " SIZE_OF\n\n Explanation:\n The text describes the poster'", " WEIGHT_OF\n OR\n HAS_WEIGHT\n OR\n ", " POSSESSED_BY", " MOTHER_OF\n\n Explanation:\n The text describes Mary as", " SWAPPED_FOR", " POSSESSED_BY", " PRODUCED_BY", " HAS_HOLY_GRAIL", " PRODUCES\n\n Explanation:\n The text describes how Nike", " SWAPPED_FOR", " PRODUCED_BY", " HAS_HOLY_GRAIL", " SIZE_OF\n\n Explanation:\n The text describes the Nike", " MATERIAL_OF\n ORG: nike\n QUANTITY", " HOLY_GRAIL", " HOLY_GRAIL", " PRODUCED_BY", " HOLY_GRAIL", " HAS_HOLY_GRAIL", " SELF_REFERENCE", " MOTHER_OF", " HAS_OBJECT\n\n Entities: \n [{'head': ['3", " HAS_HOLY_GRAIL", " HAS_HOLY_GRAIL", " HAS_DIMENSIONS", " HAS_PROPERTY", " SIZE_OF\n\n Explanation:\n The text states that the size", " SIZE_OF\n\n Explanation:\n The text describes a poster of", " SIZE_OF\n\n Explanation:\n The text describes a poster of", " SIZE_OF\n\n Explanation:\n The text states that the size", " WEIGHT_OF\n\n Explanation:\n The text states that \"The", " WEIGHT_OF\n\n Explanation:\n The text describes a poster of", " WEIGHT_OF_POSTER_MATERIAL_IS_FROM_Nike", " WEIGHT_OF\n\n Explanation:\n The text states that \"The" ]

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[ "Join supply chain experts Kevin O'Marah, Professor Pascal Van Hentenryck, Angel Mendez, and Dr. Anne Robinson as they explore AI-driven supply chain innovation by adopting research-tested insights and practical strategies to harness data.\nThought Leader and Co-Founder\nPascal Van Hentenryck\nProfessor of Industrial Systems and Engineering\nGeorgia Institute of Technology\nSupply Chain Innovator\nDr. Anne Robinson\nChief Strategy Officer\n© Kinaxis Inc. 2023. All Rights Reserved." ]

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[ " EXPERT_OF\n\n Entities: \n [{'head': ['", " COAUTHOR", " COLLABORATOR", " EXPERT_OF\n\n Entities: \n [{'head': ['", " EXPERT_OF\n or\n AFFILIATED_WITH\n ", " AFFILIATED_WITH", " COLLABORATOR", " CO-FOUNDER", " NO_RELATION", " COAUTHOR", " COAUTHOR", " COLLABORATOR", " THINKS_ABOUT/IS/HAS_ROLE [Dr. Anne Robinson]", " PROFESSOR_OF.", " PROFESSOR_OF.", " COLLABORATOR", " CHIEF_STRATEGY_OFFICER_OF", " NO_RELATION", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " HEAD_OF\n or\n AFFILIATED_WITH\n or", " AFFILIATED_WITH", " COLLABORATOR", " CO-FOUNDER", " NO_RELATION", " COWORKER", " CHIEF_STRATEGY_OFFICER_OF", " COLLABORATOR", " CHIEF_STRATEGY_OFFICER_OF", " PROFESSOR_OF", " AFFILIATED_WITH", " CHIEF_STRATEGY_OFFICER", " CHIEF_STRATEGY_OFFICER_OF", " NO_RELATION", " COAUTHOR", " THINKS_ABOUT/IS_A/HAS_ROLE/IS/IDENT", " COAUTHOR", " COLLABORATOR", " PROFESSOR_OF", " PROFESSOR_OF.", " COLLABORATOR", " FOUNDER", " NO_RELATION", " HEAD_OF\n or\n DEPARTMENT_HEAD\n or\n ", " PROFESSOR_OF.", " HEAD_OF\n or\n DEPARTMENT_HEAD\n or\n ", " PROFESSOR_OF", " PROFESSOR_OF.", " PROFESSOR_OF.", " PROFESSOR_OF", " AFFILIATED_WITH", " LOCATION_AT_TIME", " AFFILIATED_WITH", " PROFESSOR_OF\n OR:\n AFFILIATED_WITH", " AFFILIATED_WITH", " PROFESSOR_OF\n ORGANIZATION_AFFILIATION", " PROFESSOR_OF\n\n Explanation:\n The text states that", " DEPARTMENT_OF", " PROFESSOR_OF\n OR\n AFFILIATED_WITH\n", " AFFILIATED_WITH", " LOCATION_AT_TIME", " CHIEF_STRATEGY_OFFICER_OF", " CHIEF_STRATEGY_OFFICER_OF", " COLLABORATOR", " CHIEF_STRATEGY_OFFICER_OF", " CHIEF_STRATEGY_OFFICER_OF", " PROFESSOR_OF", " AFFILIATED_WITH", " CHIEF_STRATEGY_OFFICER_OF", " NO_RELATION", " COMPANY_EMPLOYEE", " COMPANY_EMPLOYEE", " ORGANIZATION_EMPLOYEE", " CHIEF_STRATEGY_OFFICER", " ORGANIZATION_FOUNDER", " HOME_ORGANIZATION_OF", " HOST_OF", " CHIEF_STRATEGY_OFFICER", " COPYRIGHT_YEAR", " NO_RELATION", " PROFESSOR_OF\n OR\n TITLE_OF\n OR", " NO_RELATION", " CHIEF_STRATEGY_OFFICER_OF", " PROFESSOR_OF\n OR\n EXPERT_IN\n OR", " PROFESSOR_OF.", " AFFILIATED_WITH", " CHIEF_STRATEGY_OFFICER_OF", " COPYRIGHT_OF" ]

[ [ "4", "6", "PERSON", "Kevin O'Marah" ], [ "8", "11", "PERSON", "Pascal Van Hentenryck" ], [ "12", "14", "PERSON", "Angel Mendez" ], [ "17", "19", "PERSON", "Anne Robinson" ], [ "49", "52", "PERSON", "Pascal Van Hentenryck" ], [ "55", "59", "ORG", "Industrial Systems and Engineering" ], [ "60", "65", "ORG", "Georgia Institute of Technology\n" ], [ "70", "72", "PERSON", "Anne Robinson" ], [ "78", "80", "ORG", "Kinaxis Inc." ], [ "80", "81", "DATE", "2023" ] ]

[ "Photography Ban Outside Arizona Appellate Courts Criticized\nA new rule barring people from taking photos outside state appellate courts in Arizona is being criticized for limiting the rights of news organizations.\nThe rule issued on Oct. 16 by Supreme Court Chief Justice Robert Brutinel prohibits photography on the grounds of appellate court buildings in Phoenix and Tucson, including images taken from sidewalks and adjacent parking areas.\nSupreme Court spokesperson Aaron Nash says the ban wasn't intended to make the jobs of journalists harder but rather to guard against disruptions and protect the security and privacy of people who attend court proceedings.\nAttorney Dan Barr, who specializes in First Amendment law, says the order infringes on the rights of news organizations, is impractical and hopes it would be reconsidered.\nThe ban doesn't apply to superior courts." ]

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[ " LOCATION_IN_LOCATION", " ISSUED_ON", " LOCATION_OF\n or\n GOVERNS\n or\n I", " ISSUED_BY", " LOCATION.IN.LOCATION.ORGANIZATION.STATE_CAPIT", " LOCATION_IN.", " LOCATION_OF\n or\n GOVERNS\n or\n J", " SPOKESPERSON_FOR", " SPEAKS_FOR", " INFRINGES_ON", " LOCATION_IN_LOCATION", " ISSUED_ON", " LOCATION_OF\n\n Explanation:\n The text describes a new", " ISSUED_BY", " LOCATION.IN.LOCATION", " LOCATION_IN.", " LOCATION_OF\n or\n GOVERNS\n or\n I", " SPOKESPERSON_FOR", " SPEAKS_FOR", " INFRINGES_ON", " ISSUED_ON.", " ISSUED_ON.", " ISSUED_BY", " ISSUED_BY", " ISSUED_AT_LOCATION", " ISSUED_AT_LOCATION", " ISSUED_BY", " ISSUED_BY", " CRITICIZED", " LOCATED_IN", " LOCATED_IN", " ISSUED_ON", " ISSUED_BY", " LOCATION.\n\n Entities: \n [{'head': ['4", " LOCATION.IN.JURISDICTION", " SAME_ORGANIZATION", " SPOKESPERSON", " CRITICIZES", " INFRINGES_ON", " ISSUED_BY", " ISSUED_BY", " ISSUED_ON", " ISSUED_BY", " ISSUED_AT_LOCATION", " ISSUED_AT_LOCATION", " ISSUED_BY", " ISSUED_BY", " CRITICIZED", " INFRINGES_ON", " LOCATION_IN.", " LOCATION_IN.", " ISSUED_ON", " LOCATION_OF\n\n Explanation:\n The text states that the", " ISSUED_BY", " LOCATION_NEARBY", " LOCATION_OF", " SPOKESPERSON_FOR", " SPEAKS_FOR", " INFRINGES_ON", " LOCATED_IN", " LOCATION_IN.", " ISSUED_ON", " LOCATION_OF\n OR LOCATED_AT\n OR PROPERTY_", " ISSUED_BY", " EXCLUDES\n\n Explanation:\n The text states that the photography", " LOCATED_AT", " SPOKESPERSON_FOR", " SPEAKS_FOR", " INFRINGES_ON", " LOCATION.IN.ORGANIZATION", " LOCATION.IN.JURISDICTION", " ISSUED_ON", " SAME_ORG", " ISSUED_BY", " LOCATION.\n\n Entities: \n [{'head': ['7", " LOCATION.IN.JURISDICTION", " SPOKESPERSON", " CRITICIZES", " INFRINGES_ON", " SPOKESPERSON_FOR\n\n Entities: \n [{'", " SPOKESPERSON_FOR.", " ISSUED_ON", " SPOKESPERSON_OF", " ISSUED_BY", " SPEAKS_FOR", " SPEAKS_FOR\n\n Explanation:\n The text states that \"", " SPOKESPERSON_OF", " CRITICIZES", " DISPUTES\n\n Explanation:\n The text describes how Aaron Nash,", " SPECIALIZES_IN", " SPECIALIZES_IN", " ISSUED_ON", " CRITICIZES", " CRITICIZES", " SPEAKS_FOR\n\n Explanation:\n Dan Barr is speaking for", " SPEAKS_FOR\n\n Explanation:\n Dan Barr is speaking for", " CRITICIZES", " CRITICIZES", " INFRINGES_ON", " APPLIES_TO", " APPLIES_TO", " INFRINGES_ON", " ISSUED_BY", " APPLIES_TO", " APPLIES_TO", " CRITICIZES", " DISPUTES", " SPECIALIZES_IN" ]

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[ "Voters Reflect on Presidential Election\nRecord numbers of Democratic and Republican voters turned out to cast their ballots Tuesday. Voters on both sides of the divide talk about the election as they go about their business in Wyoming, Ohio and California. Hear NPR's Renee Montagne and NPR's Steve Inskeep.\nCopyright 2004 NPR" ]

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[ " VOTED_IN\n\n Explanation:\n The text mentions that", " VOTED_IN\n\n Explanation:\n The text mentions that", " LOCATED_IN", " DISCUSED_BY", " DISCUSED_WITH", " DISCUSED_BY", " DISCUES \n\n Explanation:\n The text mentions that R", " DISCUSED_BY", " VOTED_IN\n\n Explanation:\n The text mentions that", " VOTED_IN\n\n Explanation:\n The text mentions that", " VOTED_IN\n\n Explanation:\n The text mentions that", " DISCUSED_BY", " DISCUSED_WITH", " DISCUSED_BY", " TALKS_ABOUT", " DISCUSED_BY", " LOCATION_IN.", " VOTED_IN\n\n Explanation:\n The text mentions that", " LOCATION_IN.", " BROADCASTS_PROGRAMMED_BY", " SPEAKS_TO", " BROADCASTS_PROGRAMMED_BY", " SPEAKS_TO", " BROADCASTS_PROGRAMMED_BY", " LOCATED_IN", " VOTED_IN\n\n Explanation:\n The text describes voters in", " EVENT_LOCATION", " LOCATION_NEARBY", " DIFFERENT_FROM", " LOCATED_AT", " LOCATION_OF\n or\n SPEAKS_AT\n or\n", " LOCATED_AT", " LOCATION_OF\n or\n SPEAKS_AT\n or\n", " LOCATION_IN_REGION\n\n Explanation:\n The text does", " LOCATED_AT", " VOTED_FOR\n\n Explanation:\n The text mentions that", " GOV_IN_REGION \n or\n VOTED_IN\n\n", " EVENT_LOCATION", " NEAR_LOCATION", " DIFFERENT_FROM", " LOCATED_AT", " BROADCASTS_FROM\n\n Explanation:\n The text ment", " LOCATED_AT", " LOCATION_OF\n or\n SPEAKS_AT\n or\n", " LOCATION_IN_REGION\n\n Explanation:\n The text ment", " LOCATED_AT", " LOCATION_OF\n\n Explanation:\n The text mentions that", " CAMPAIGNED_FOR\n\n Explanation:\n The text does", " LOCATION_AT_TIME", " DIFFERENT_FROM", " COMPARATIVE_OF\n\n Explanation:\n The text mentions", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN_REGION", " LOCATED_IN", " VOTED_FOR\n\n Explanation:\n The text mentions that", " VOTED_FOR\n\n Explanation:\n The text mentions that", " BROADCASTS_ON\n or\n HELD_ON\n or", " DISLOCATED_IN\n\n Explanation:\n The text mentions that", " DISLOCATED_IN \n\n Explanation:\n The text mentions", " LOCATED_IN", " BROADCASTS_PROGRAM\n or\n SPEAKS\n\n", " BROADCASTS_FROM", " SPEAKS_TO\n\n Explanation:\n The text mentions that", " REPORTED_EVENT_DATE", " BROADCASTER_OF\n ORGANIZATION_IS_AFF", " REPORTED_FOR\n\n Explanation:\n Renee Montagne", " DISCUSED_ABOUT", " DISCOURSE_MENTIONED_DATE", " GOV_IN_LOCATION", " DISLOCATED_IN \n\n Explanation:\n The text mentions", " IN_REGION", " BROADCASTS_FOR\n\n Explanation:\n Renee", " BROADCASTS_FOR\n\n Explanation:\n Renee", " BROADCASTS_PROGRAM\n or\n CO-HOSTS\n", " BROADCASTED_ON", " BROADCASTS_FOR\n\n Explanation:\n In the context", " VOTED_FOR\n\n Explanation:\n The text mentions that", " VOTED_FOR\n\n Explanation:\n The text mentions that", " BROADCASTED_ON", " DISLOCATED_IN\n\n Explanation:\n The text mentions that", " GOV_IN_LOCATION", " LOCATED_IN", " BROADCASTS_FROM", " BROADCASTS_PROGRAM\n or\n SPEAKS\n ", " SPEAKS_TO", " REPORTED_EVENT_OF", " BROADCASTS_FROM", " REPORTED_FOR\n\n Explanation:\n The text mentions that", " TALKS_ABOUT\n\n Explanation:\n The text mentions", " DISCUED_ON", " GOV_IN_LOCATION", " GOV_IN_LOCATION", " IN_LOCATION", " BELONGS_TO", " CO-HOSTS", " BELONGS_TO", " REPORTED_ON", " BELONGS_TO", " LOCATION_IN.", " CAUSED_IN\n\n Explanation:\n The text mentions that '", " LOCATION_IN.", " REPORTED_BY", " BROADCASTS_PROGRAM\n or\n SPEAKS\n ", " BROADCASTS_FROM\n or\n PUBLISHES\n", " SPEAKS_AT", " REPORTED_BY", " VOTED_FOR\n\n Explanation:\n The text mentions that", " VOTED_FOR\n\n Explanation:\n The text mentions that", " BROADCASTS_ON\n or\n HELD_ON\n or", " DISLOCATED_IN\n\n Explanation:\n The text mentions that", " DISLOCATED_IN \n\n Explanation:\n The text mentions", " LOCATED_IN", " BROADCASTS_FROM", " BROADCASTS_PROGRAM\n or\n SPEAKS\n ", " BROADCASTS_FROM", " BROADCASTS\n or\n SPEAKS\n or\n HO", " BROADCASTS_ON\n or\n REPORTED_ON\n " ]

[ [ "9", "10", "NORP", "Democratic" ], [ "11", "12", "NORP", "Republican" ], [ "19", "20", "DATE", "Tuesday" ], [ "39", "40", "GPE", "Wyoming" ], [ "41", "42", "GPE", "Ohio" ], [ "43", "44", "GPE", "California" ], [ "46", "47", "ORG", "NPR" ], [ "48", "50", "PERSON", "Renee Montagne" ], [ "51", "52", "ORG", "NPR" ], [ "53", "55", "PERSON", "Steve Inskeep" ], [ "58", "59", "DATE", "2004" ], [ "59", "60", "ORG", "NPR" ] ]

[ "This chic and stylish Gladiaskators Blue Keychain is the perfect accessory to add some flair to your keys. Made from blue resin, this keychain is part of our retro futuristic art deco collection. Its unique design is sure to make a statement and will be a great conversation starter. It also makes a great gift for a friend or family member! Add this eye-catching keychain to your collection today.\nThe Gladiaskators collection is a retro-futuristic avant-garde Art Deco collectibles and jewellery line by the artist Lipstik. inspired by mythological antique archetypes mixed up with modern street art and skateboarding culture\n\"Gladiaskators\" - Key ring\nDimensions: 9(L)x0.4(w)x4(h) cm\nWeight: 15 g" ]

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[ " CREATOR_OF", " CREATED_BY", " CREATOR_OF", " CREATED_BY", " NO_RELATION", " CREATED_BY", " WEIGHT_OF\n or\n NO_RELATION (if 'Lipst", " CREATED_BY" ]

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[ "Sharon took the day off for her birthday. She and her brother Tom went to lunch at Wildwood; Sharon said the food was better than when we had dinner there... They then went to the Century 14 to watch La La Land. Sharon and Tom finished the afternoon hitting the jacuzzi at Tom's house.\nI took Sharon to dinner at Kru, contemporary Japanese cuisine. I liked the food more than she did.\nWe finished the night with cake and presents at Tom's house. Tom made a cake from one of their mom's recipes. In addition to Tom, the group included Eric and Erin. Presents included some new trekking poles." ]

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"tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "70", "71", "NORP", "Japanese" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "85", "87", "TIME", "the night" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "101", "102", "CARDINAL", "one" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ], [ { "head": [ "0", "1", "PERSON", "Sharon" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "2", "4", "DATE", "the day" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "2", 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] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "50", "52", "TIME", "the afternoon" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "70", "71", "NORP", "Japanese" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "85", "87", "TIME", "the night" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "101", "102", "CARDINAL", "one" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ], [ { "head": [ "13", "14", "PERSON", "Tom" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "2", "4", "DATE", "the day" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "42", "45", "WORK_OF_ART", "La La Land" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "18", "19", "ORG", "Wildwood" ], "tail": [ "50", "52", "TIME", "the afternoon" ] } ], [ { "head": [ "18", 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], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ], [ { "head": [ "85", "87", "TIME", "the night" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "2", "4", "DATE", "the day" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "42", "45", "WORK_OF_ART", "La La Land" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "50", "52", "TIME", "the afternoon" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "70", "71", "NORP", "Japanese" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "85", "87", "TIME", "the night" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "101", "102", "CARDINAL", "one" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ], [ { "head": [ "92", "93", "PERSON", "Tom" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "2", "4", "DATE", "the day" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "42", "45", "WORK_OF_ART", "La La Land" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "50", "52", "TIME", "the afternoon" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "70", "71", "NORP", "Japanese" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "85", "87", "TIME", "the night" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "101", "102", "CARDINAL", "one" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ], [ { "head": [ "96", "97", "PERSON", "Tom" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ], [ { "head": [ "101", "102", "CARDINAL", "one" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "2", "4", "DATE", "the day" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "42", "45", "WORK_OF_ART", "La La Land" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "50", "52", "TIME", "the afternoon" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "70", "71", "NORP", "Japanese" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "85", "87", "TIME", "the night" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "101", "102", "CARDINAL", "one" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ], [ { "head": [ "111", "112", "PERSON", "Tom" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "2", "4", "DATE", "the day" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "42", "45", "WORK_OF_ART", "La La Land" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "50", "52", "TIME", "the afternoon" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "70", "71", "NORP", "Japanese" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "85", "87", "TIME", "the night" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "101", "102", "CARDINAL", "one" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "116", "117", "PERSON", "Eric" ], "tail": [ "118", "119", "PERSON", "Erin" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "0", "1", "PERSON", "Sharon" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "2", "4", "DATE", "the day" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "13", "14", "PERSON", "Tom" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "18", "19", "ORG", "Wildwood" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "20", "21", "PERSON", "Sharon" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "37", "40", "ORG", "the Century 14" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "42", "45", "WORK_OF_ART", "La La Land" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "46", "47", "PERSON", "Sharon" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "48", "49", "PERSON", "Tom" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "50", "52", "TIME", "the afternoon" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "56", "57", "PERSON", "Tom" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "63", "64", "PERSON", "Sharon" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "67", "68", "ORG", "Kru" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "70", "71", "NORP", "Japanese" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "85", "87", "TIME", "the night" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "92", "93", "PERSON", "Tom" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "96", "97", "PERSON", "Tom" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "101", "102", "CARDINAL", "one" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "111", "112", "PERSON", "Tom" ] } ], [ { "head": [ "118", "119", "PERSON", "Erin" ], "tail": [ "116", "117", "PERSON", "Eric" ] } ] ]

[ " BIRTHDAY", " BROTHER_SISTER", " WENT_TO.", " SAME_PERSON", " WENT_TO", " WATCHED", " SAME_PERSON", " BROTHER_SISTER", " FINISHED_AT.", " BROTHER_SISTER", " SAME_PERSON", " I_TOOK_SOMEONE_TO_AN_ESTABLISHMENT", " ITEM_OF_TYPE\n\n Explanation:\n The context indicates", " FINISHED_EVENT", " BROTHER_SISTER", " BROTHER_SISTER", " BIRTHDAY_GIFT", " BROTHER_SISTER", " NO_RELATION", " NO_RELATION", " BIRTHDAY", " BROTHER_OF", " WENT_TO.", " BIRTHDAY_FOR_PERSON", " WENT_TO", " BIRTHDAY_FOR_PERSON", " BROTHER_OF", " BROTHER_OF", " BIRTHDAY", " WENT_TO, or, in this case, since both entities are ORGs,", " BROTHER_OF", " BROTHER_OF", " BROTHER_OF", " NO_RELATION.", " NO_RELATION.", " BROTHER_OF", " BROTHER_OF\n\n Entities: \n [{'head': ['", " WENT_TO.", " BROTHER_SISTER", " WENT_TO", " WENT_TO (Tom, La La Land)", " BROTHER_SISTER", " BROTHER_OF", " FINISHED_AT.", " BROTHER_OF", " BROTHER_SISTER", " WENT_TO (Tom, Kru)", " FOOD_AT\n\n Explanation:\n The entities represent Tom and Japanese", " FINISHED_EVENT_AT.", " BROTHER_OF", " BROTHER_OF", " GOES_WITH", " BROTHER_OF", " NO_RELATION", " NO_RELATION", " WENT_TO.", " WENT_TO.", " WENT_TO.", " WENT_TO.", " WENT_TO", " WENT_TO (Wildwood, La La Land)", " WENT_TO.", " WENT_TO.", " WENT_TO.", " WENT_TO.", " WENT_TO.", " DIFFERENT_PLACE", " FOOD_AT\n\n Explanation:\n The entities represent the restaurant Wild", " WENT_TO.", " WENT_TO.", " WENT_TO.", " WENT_TO.", " WENT_TO.", " NO_RELATION.", " NO_RELATION.", " SELF_REFERENCE", " BDAY_OF", " BROTHER_SISTER", " WENT_TO.", " WENT_TO", " WATCHED", " SELF_REFERENCE", " SIBLING", " SPENT_TIME_TOGETHER", " BROTHER_SISTER", " SELF_REFERENCE", " I_TOOK_PERSON_TO_ORG", " ITS_FOOD_AT\n\n Explanation:\n The text describes", " FINISHED_EVENT_AT.", " BROTHER_SISTER", " BROTHER_SISTER", " BIRTHDAY_FOR_PERSON", " BROTHER_SISTER", " NO_RELATION", " NO_RELATION", " WENT_TO.", " WENT_TO.", " WENT_TO.", " PREVIOUS_LOCATION", " WENT_TO.", " WENT_TO (The Century 14, La La Land)", " WENT_TO.", " WENT_TO.", " WENT_TO (the Century 14, the afternoon)", " WENT_TO.", " WENT_TO.", " DIFFERENT_VENUE", " THEATRE_IN_CUISINE_TRADITION", " MOVIE_THEATER_HOURS", " WENT_TO.", " WENT_TO.", " WENT_TO.", " WENT_TO.", " IN_EVENT\n\n Explanation:\n Eric is part of the group that", " IN_GROUP", " WATCHED_WORK_OF_ART", " WENT_TO (La La Land, Tom)", " WENT_TO.", " WATCHED", " WENT_TO", " WATCHED_WORK_OF_ART", " WENT_TO\n\n Explanation:\n The text states that Sharon", " WENT_TO\n\n Explanation:\n The text states that \"They", " WATCHED", " DIFFERENT_WORK_OF_ART_AT_DIFFERENT_LOCATION", " WENT_TO.", " WENT_TO.", " WENT_TO (La La Land, Tom)", " IN_GROUP", " IN_GROUP", " SELF_REFERENCE", " BDAY_OF\n\n Entities: \n [{'head': ['4", " SIBLING", " WENT_TO", " SAME_PERSON", " WENT_TO", " WATCHED", " BROTHER_SISTER", " FINISHED_AT.", " BROTHER_SISTER", " SAME_PERSON", " WENT_TO, or VISITED, or DINED_AT, or", " ITEM_OF_TYPE\n\n Explanation:\n The entities represent", " FINISHED_EVENT", " SIBLING", " SIBLING", " BIRTHDAY_GIFT", " SIBLING", " NO_RELATION", " NO_RELATION", " BROTHER_SISTER", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " WENT_TO.", " BROTHER_SISTER", " WENT_TO", " WENT_TO_SEE", " BROTHER_SISTER", " SIBLING_OF\n\n Explanation:\n The text states that", " BROTHER_OF", " BROTHER_SISTER", " WENT_TO (Tom, Kru)", " Tom --PREP-- Japanese (food)", " FINISHED_EVENT_AT.", " BROTHER_OF", " BROTHER_OF", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " NO_RELATION", " NO_RELATION", " FINISHED_WITH\n\n Entities: \n [{'head':", " FINISHED_AT. The 'head' entity represents the time when the action finished", " WENT_TO.", " FINISHED_WITH\n\n Entities: \n [{'head':", " WENT_TO", " FINISHED_WITH\n\n Entities: \n [{'head':", " FINISHED_AT. The 'head' entity represents the time when the action was", " FINISHED_AT. The 'head' entity represents the time when the action was", " FINISHED_WITH\n\n Entities: \n [{'head':", " I_TOOK_SHARON_TO_DINNER_AT_KR", " FINISHED_AT. The 'head' entity represents the time when the action finished", " FINISHED_AT. The 'head' entity represents the time when the action was", " FINISHED_AT.\n\n Explanation:\n The entities represent", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " NO_RELATION.", " BROTHER_SISTER", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " WENT_TO.", " BROTHER_SISTER", " WENT_TO", " WENT_TO_SEE", " BROTHER_SISTER", " BROTHER_OF", " FINISHED_EVENT_WITH_EVENT", " BROTHER_SISTER", " WENT_TO (Tom, Kru)", " Tom --PREP-- Japanese (food)", " FINISHED_EVENT_AT.", " BROTHER_OF", " BROTHER_OF", " GIFTED_ITEM\n\n Entities: \n [{'head': ['", " BROTHER_OF", " NO_RELATION", " NO_RELATION", " SELF_REFERENCE", " BDAY_OF\n\n Entities: \n [{'head': ['6", " SIBLING", " WENT_TO", " SELF_REFERENCE", " WENT_TO", " WATCHED", " SAME_PERSON", " SIBLING", " FINISHED_AT. The 'head' entity finished the activity described in the text", " BROTHER_SISTER", " WENT_TO, or VISITED, or DINED_AT, or", " I -> Sharon : WENT_TO : Kru\n Sharon -> Tom :", " FINISHED_EVENT", " SIBLING", " SIBLING", " BIRTHDAY_GIFT", " SIBLING", " NO_RELATION", " NO_RELATION", " WENT_TO (Kru, Sharon)", " I_TOOK_SHARON_TO_DINNER_AT_KR", " WENT_TO (Kru, Tom)", " PREVIOUS_LOCATION", " WENT_TO (Kru, Sharon)", " WENT_TO", " WENT_TO\n\n Entities: \n [{'head': ['4", " WENT_TO (Kru, Sharon)", " WENT_TO (Kru, Tom)", " WENT_TO (Kru, the afternoon)", " WENT_TO (Kru, Tom)", " WENT_TO (Kru, Sharon)", " FOOD_ESTABLISHMENT_TYPE\n\n Explanation:\n ", " DIFFERENT_EVENT", " WENT_TO (Kru, Tom)", " WENT_TO (Kru, Tom)", " I_TOOK_SHARON_TO_DINNER_AT_KR", " WENT_TO (Kru, Tom)", " WENT_TO (Kru, Eric) or ATTENDED (Kru,", " WENT_TO (Kru, Erin) or AT (Kru, Erin", " WENT_TO\n\n Explanation:\n The entities represent the following:", " WENT_TO (Japanese, Tom)", " WENT_TO (Japanese, Wildwood)", " WENT_TO\n\n Entities: \n [{'head': ['2", " WENT_TO", " WENT_TO\n\n Explanation:\n The entities represent the following:", " WENT_TO\n\n Explanation:\n The entities represent the following:", " WENT_TO (head, tail)\n\n OR\n\n [{'head", " WENT_TO\n\n Entities: \n [{'head': ['6", " I_took_Sharon_to_dinner_at_Kru. (", " WENT_TO (Japanese, Tom)", " WENT_TO\n\n Explanation:\n The entities represent the following:", " WENT_TO (Japanese, Tom)", " NO_RELATION. The text does not provide enough context to determine a relation between 'J", " INCLUDED_IN\n\n Explanation:\n In the context, Er", " FINISHED_EVENT_TOGETHER", " FINISHED_EVENT_WITH", " WENT_TO.", " FINISHED_EVENT_TOGETHER", " WENT_TO", " FINISHED_EVENT_TOGETHER", " FINISHED_EVENT_WITH", " FINISHED_EVENT_WITH", " FINISHED_EVENT_TOGETHER", " I_TOOK_SHARON_TO_DINNER_AT_KR", " FINISHED_EVENT_WITH", " FINISHED_EVENT_WITH", " FINISHED_EVENT_WITH", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " NO_RELATION", " BROTHER_SISTER", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " WENT_TO.", " BROTHER_SISTER", " WENT_TO", " WENT_TO_SEE", " BROTHER_SISTER", " BROTHER_OF", " FINISHED_AT.", " BROTHER_OF", " BROTHER_SISTER", " I_TOOK_SOMEONE_TO_AN_ESTABLISHMENT", " FOOD_AT\n\n Explanation:\n The context states that Tom and", " FINISHED_EVENT_AT.", " BROTHER_OF", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " NO_RELATION", " NO_RELATION", " BROTHER_SISTER", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " WENT_TO.", " BROTHER_SISTER", " WENT_TO.", " WENT_TO_SEE", " BROTHER_SISTER", " BROTHER_OF", " FINISHED_EVENT_WITH_EVENT", " BROTHER_OF", " BROTHER_SISTER", " I_TOOK_PERSON_TO_ORG", " FOOD_AT\n\n Explanation:\n Tom's house is where", " FINISHED_EVENT_AT.", " BROTHER_OF", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " NO_RELATION", " NO_RELATION", " SIBLING", " GOES_TO\n\n Explanation:\n The text states that Sharon", " WENT_TO.", " SIBLING", " WENT_TO", " SIBLING", " BROTHER_OF", " GOES_WITH", " SIBLING", " I_TOOK_SHARON_TO_DINNER_AT_KR", " BROTHER_OF", " BROTHER_OF", " GOES_TO\n\n Explanation:\n The text states that \"They", " IN_GROUP", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " BROTHER_OF", " BROTHER_OF\n\n Entities: \n [{'head': ['", " BROTHER_OF", " WENT_TO.", " BROTHER_SISTER", " WENT_TO", " WENT_TO (Tom, La La Land)", " BROTHER_SISTER", " BROTHER_OF", " FINISHED_AT. The 'Tom' entity is the head and 'the afternoon", " BROTHER_OF", " BROTHER_SISTER", " WENT_TO (Tom, Kru)", " Tom --PREP-- Japanese (food)", " FINISHED_EVENT_AT.", " BROTHER_OF", " BROTHER_OF", " BROTHER_OF\n\n Entities: \n [{'head': ['", " NO_RELATION", " NO_RELATION", " INCLUDED_IN\n\n Explanation:\n Eric is included in the", " NO_RELATION.", " NO_RELATION", " WENT_TO (Eric, Wildwood)", " NO_RELATION", " WENT_TO (for the relation between Eric and the Century 14)", " IN_GROUP", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " NO_RELATION", " Eric went to Kru (for dinner)", " NO_RELATION.", " NO_RELATION.", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " NO_RELATION", " INCLUDED_IN\n\n Explanation:\n In the context, Er", " NO_RELATION.", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " NO_RELATION.", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " WENT_TO (Erin, the Century 14)", " IN_GROUP", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " NO_RELATION.", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " I_TOOK_PERSON_TO_ORG", " NO_RELATION.", " NO_RELATION.", " INCLUDED_IN\n\n Explanation:\n In the context, Er", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " INCLUDED_IN\n or\n NO_RELATION (if no relation exists", " INCLUDED_IN\n\n Explanation:\n The text states that \"", " NO_RELATION." ]

[ [ "0", "1", "PERSON", "Sharon" ], [ "2", "4", "DATE", "the day" ], [ "13", "14", "PERSON", "Tom" ], [ "18", "19", "ORG", "Wildwood" ], [ "20", "21", "PERSON", "Sharon" ], [ "37", "40", "ORG", "the Century 14" ], [ "42", "45", "WORK_OF_ART", "La La Land" ], [ "46", "47", "PERSON", "Sharon" ], [ "48", "49", "PERSON", "Tom" ], [ "50", "52", "TIME", "the afternoon" ], [ "56", "57", "PERSON", "Tom" ], [ "63", "64", "PERSON", "Sharon" ], [ "67", "68", "ORG", "Kru" ], [ "70", "71", "NORP", "Japanese" ], [ "85", "87", "TIME", "the night" ], [ "92", "93", "PERSON", "Tom" ], [ "96", "97", "PERSON", "Tom" ], [ "101", "102", "CARDINAL", "one" ], [ "111", "112", "PERSON", "Tom" ], [ "116", "117", "PERSON", "Eric" ], [ "118", "119", "PERSON", "Erin" ] ]

[ "The Montana Outdoor Radio Show will be broadcast from Glasgow this Saturday, as the Captain and Doug Stewart will be there for the State Walleye Banquet! After the radio show, the Captain will head to the Valley Event Center to meet and greet folks at the MORS booth from 9am-3pm. Items ranging from the infamous Guaranteed Lure for 2013 to the world’s toughest water bottle (and a lot more!) will be for sale there, too. There will also be 50 vendors at the Event Center displaying their merchandise. Admission is FREE!\nThen, at 4:30 the doors will open for the banquet, with dinner served around 6:30pm. There will be lots of games and fun prizes, as 700 folks are expected to attend the banquet. The Captain will also be the MC of the banquet!!!" ]

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"Glasgow" ], "tail": [ "62", "63", "DATE", "2013" ] } ], [ { "head": [ "9", "10", "GPE", "Glasgow" ], "tail": [ "89", "90", "CARDINAL", "50" ] } ], [ { "head": [ "9", "10", "GPE", "Glasgow" ], "tail": [ "92", "95", "FAC", "the Event Center" ] } ], [ { "head": [ "9", "10", "GPE", "Glasgow" ], "tail": [ "107", "108", "TIME", "4:30" ] } ], [ { "head": [ "9", "10", "GPE", "Glasgow" ], "tail": [ "119", "122", "TIME", "around 6:30pm." ] } ], [ { "head": [ "9", "10", "GPE", "Glasgow" ], "tail": [ "133", "134", "CARDINAL", "700" ] } ], [ { "head": [ "10", "12", "DATE", "this Saturday" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "10", "12", "DATE", "this Saturday" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "10", "12", "DATE", "this Saturday" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "0", "5", "EVENT", "The Montana Outdoor Radio Show" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "10", "12", "DATE", "this Saturday" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "23", "27", "EVENT", "the State Walleye Banquet" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "38", "42", "FAC", "the Valley Event Center" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "62", "63", "DATE", "2013" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "89", "90", "CARDINAL", "50" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "92", "95", "FAC", "the Event Center" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "107", "108", "TIME", "4:30" ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "119", "122", "TIME", "around 6:30pm." ] } ], [ { "head": [ "17", "19", "PERSON", "Doug Stewart" ], "tail": [ "133", "134", "CARDINAL", "700" ] } ], [ { "head": [ "23", "27", "EVENT", "the State Walleye Banquet" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "23", "27", "EVENT", "the State Walleye Banquet" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "23", "27", "EVENT", "the State Walleye Banquet" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "38", "42", "FAC", "the Valley Event Center" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "38", "42", "FAC", "the Valley Event Center" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "38", "42", "FAC", "the Valley Event Center" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "0", "5", "EVENT", "The Montana Outdoor Radio Show" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "10", "12", "DATE", "this Saturday" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "23", "27", "EVENT", "the State Walleye Banquet" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "38", "42", "FAC", "the Valley Event Center" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "62", "63", "DATE", "2013" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "89", "90", "CARDINAL", "50" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "92", "95", "FAC", "the Event Center" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "107", "108", "TIME", "4:30" ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "119", "122", "TIME", "around 6:30pm." ] } ], [ { "head": [ "49", "50", "ORG", "MORS" ], "tail": [ "133", "134", "CARDINAL", "700" ] } ], [ { "head": [ "62", "63", "DATE", "2013" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "62", "63", "DATE", "2013" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "62", "63", "DATE", "2013" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "89", "90", "CARDINAL", "50" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "89", "90", "CARDINAL", "50" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "89", "90", "CARDINAL", "50" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "92", "95", "FAC", "the Event Center" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "92", "95", "FAC", "the Event Center" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "92", "95", "FAC", "the Event Center" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "107", "108", "TIME", "4:30" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "107", "108", "TIME", "4:30" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "107", "108", "TIME", "4:30" ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "119", "122", "TIME", "around 6:30pm." ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "119", "122", "TIME", "around 6:30pm." ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "119", "122", "TIME", "around 6:30pm." ], "tail": [ "49", "50", "ORG", "MORS" ] } ], [ { "head": [ "133", "134", "CARDINAL", "700" ], "tail": [ "9", "10", "GPE", "Glasgow" ] } ], [ { "head": [ "133", "134", "CARDINAL", "700" ], "tail": [ "17", "19", "PERSON", "Doug Stewart" ] } ], [ { "head": [ "133", "134", "CARDINAL", "700" ], "tail": [ "49", "50", "ORG", "MORS" ] } ] ]

[ " BROADCAST_FROM", " SPEAKER", " SPONSOR", " BROADCAST_AT", " TAKES_PLACE_ON", " MEETING.\n\n Entities: \n [{'head': ['1", " BROADCAST_AT", " LOCATION_AT.\n This indicates that Glasgow is the location where the Valley Event", " BROADCAST_AT", " IN_CITY_ON_DATE", " NEARBY_EVENT", " LOCATION_AT.\n This indicates that Glasgow is the location where the event center", " OPENS_AT", " AFTER", " EXPECTED_ATTENDANCE", " TAKES_PLACE_IN", " WILL_BE_AT.", " WILL_BE_AT.", " BROADCASTS_FROM", " WILL_BE_AT.", " WILL_BE_AT\n\n Entities: \n [{'head':", " WILL_BE_AT.", " MEETS_AT", " MC_OF\n\n Explanation:\n The text states that \"The Captain", " GIVEN_EVENT_YEAR", " VENDOR_AT_EVENT", " MEETS_AT", " MC_OF\n\n Entities: \n [{'head': ['17", " MC_OF.", " EXPECTED_ATTENDANCE", " LOCATION.\n\n Entities: \n [{'head': ['2", " MC_OF\n\n Or if the entities are reversed:\n\n Entities", " SPONSOR", " LOCATION_IN_REGION", " MEETS\n\n Explanation:\n The text states that Doug Stewart will", " HOSTS", " SPONSOR", " BROADCAST_FROM", " HOLDING_EVENT", " ORGANIZED_BY", " SPONSOR", " LOCATION.AT.ORGANIZATION", " SELLING_EVENT\n OR:\n EXHIBITING_AT\n", " VENDOR", " LOCATION.AT.ORGANIZATION", " OPENS_AT", " MC_OF.", " EXPECTED_ATTENDANCE", " BROADCAST_AT", " WILL_BE_AT (The Montana Outdoor Radio Show, Glasgow) (D", " WILL_BE_AT.", " BROADCAST_FROM", " VENDOR", " VENDOR", " LOCATION.\n\n Entities: \n [{'head': ['9", " MEETS", " HOSTS", " OPENS_AT", " MC_OF\n\n Explanation:\n The text states that Doug Stewart will", " MC_OF", " HAS_LOCATION", " MC_OF", " MC_OF", " EXPECTED_NUM_ATTENDEES\n or\n LOCATION_OF", " EXPECTED_NUM_PERSONS", " ORGANIZES" ]

[ [ "0", "5", "EVENT", "The Montana Outdoor Radio Show" ], [ "9", "10", "GPE", "Glasgow" ], [ "10", "12", "DATE", "this Saturday" ], [ "17", "19", "PERSON", "Doug Stewart" ], [ "23", "27", "EVENT", "the State Walleye Banquet" ], [ "38", "42", "FAC", "the Valley Event Center" ], [ "49", "50", "ORG", "MORS" ], [ "62", "63", "DATE", "2013" ], [ "89", "90", "CARDINAL", "50" ], [ "92", "95", "FAC", "the Event Center" ], [ "107", "108", "TIME", "4:30" ], [ "119", "122", "TIME", "around 6:30pm." ], [ "133", "134", "CARDINAL", "700" ] ]

[ "ayond at Almedalen\nAyond will be present in \"House of Social Entrepreneurship\" in Almedalen this week.\nDuring the spring Thomas Arctaedius has been working as project leader in setting up a new centre - \"Centrum för Social Entreprenörskap i Stockholm\" CSES (www.cses.se) at Stockholm University. In Almedalen the centre will be presented together with other organisations promoting Social Entrepreneurship and Social Innovation (read more at houseofse.se).\n- Elektroniska affärer, kommunikation" ]

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[ " PRESENT_AT", " PRESENTED_BY", " LOCATED_AT", " PRESENT_AT", " PRESENT_AT", " WAS_ACTIVE_DURING", " WORKED_FOR", " OWNER", " PRODUCT_OF\n\n Explanation:\n The text states that \"d", " LOCATED_AT", " PRESENT_AT", " HOSTED_BY", " ASSOC_WITH", " WILL_BE_PRESENT_AT", " PRESENTED_AT", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN.", " TAKES_PLACE_IN", " PROJECT_LEADER", " LOCATED_AT", " LOCATED_AT", " LOCATED_AT", " LOCATED_IN", " PRESENTED_AT", " ASSOCIATED_WITH", " WILL_BE_PRESENT_AT.", " PRESENTED_AT", " LOCATED_AT", " PRESENT_AT", " PRESENT_AT", " WORKED_IN_THE_SPRING", " PROJECT_LEADER", " PRESENTED_AT", " SETUPS", " LOCATED_AT", " PRESENT_AT", " PRESENTED_AT", " ASSOC_WITH", " PRESENTED_AT", " LOCATED_AT", " PRESENTED_AT", " LOCATED_IN", " WORKED_FOR", " LOCATED_AT", " PRESENTED_AT", " LOCATED_AT", " LOCATED_IN", " WEBSITE_OF", " PROMOTES", " WILL_BE_PRESENT_AT", " LOCATED_IN", " PRESENTED_AT", " LOCATED_AT", " LOCATED_IN.", " TAKES_PLACE_IN", " WORKED_FOR", " LOCATED_AT", " LOCATED_AT", " LOCATED_AT", " LOCATED_IN", " PRESENTED_AT", " PRESENTED_AT.", " WILL_BE_PRESENT_AT", " LOCATED_IN", " PRESENT_AT", " LOCATED_IN", " WORKED_ON\n\n Explanation:\n Thomas Arctaed", " PRESENTED_AT", " PRESENTED_AT", " PRESENTED_AT", " LOCATED_IN", " PRESENTED_AT", " PRESENTED_AT", " WAS_ACTIVE_DURING", " PRESENTED_AT", " WAS_ACTIVE_DURING", " TAKES_PLACE_IN", " PROJECT_LEADER", " SETUP\n\n Explanation:\n The text states that during the spring,", " SET_UP\n\n Explanation:\n The text states that during the spring", " SETUP_AT", " TAKES_PLACE_IN", " PRESENTED_AT", " HAS_EVENT\n\n Explanation:\n The entities represent the 'the", " PROJECT_LEADER", " WILL_BE_PRESENT_AT", " WORKED_FOR", " PRODUCES\n\n Explanation:\n Thomas Arctaedius", " PRESENTED_AT", " WORKED_DURING", " WORKED_IN_TIME_PERIOD", " PROJECT_LEADER", " PROJECT_LEADER", " PROJECT_LEADER_OF", " PRESENTED_AT", " WEB_PAGE_OF\n or\n ORG_OWNER\n ", " WORKED_FOR", " PRESENTED_BY", " LOCATED_AT", " PRESENTED_AT", " HOSTED_BY", " PRESENTED_AT", " PRESENTED_AT", " EXISTS_DURING", " PROJECT_LEADER", " SAME_AS", " LOCATED_AT", " PRESENTED_AT", " PRESENTED_AT", " COLLOCATION", " WILL_BE_PRESENT_AT", " PRESENTED_AT", " PRESENTED_BY", " HOSTED_BY", " PRESENTED_AT", " PRESENTED_AT", " ESTABLISHED_IN", " PROJECT_LEADER", " SAME_AS", " LOCATED_AT", " PRESENTED_AT", " PRESENTED_AT", " COLLOCATION", " EMPLOYED_BY", " LOCATED_AT", " SETUPS_PROJECT_FOR\n\n Explanation:\n The text", " LOCATED_AT", " LOCATED_IN", " PRESENTED_AT", " SETUP_DURING", " PROJECT_LEADER", " LOCATED_AT", " LOCATED_AT", " LOCATED_AT", " PRESENTED_AT", " LOCATED_AT", " WILL_BE_PRESENT_AT", " LOCATED_IN", " PRESENTED_AT", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN.", " TAKES_PLACE_DURING", " WORKED_FOR", " LOCATED_AT", " LOCATED_AT", " LOCATED_AT", " PRESENTED_AT", " PRESENTED_AT.", " PRESENTED_BY", " HOSTED_BY", " PRESENTED_AT", " WEBSITE_OF", " LOCATED_IN", " PRESENTED_AT", " PRESENTED_IN_SEASON", " WORKED_FOR", " PRESENTED_AT", " PRESENTED_AT", " HOSTED_BY", " LOCATED_IN", " ASSOC_WITH", " PRESENTED_BY", " LOCATED_IN", " PRESENTED_AT", " LOCATED_AT", " LOCATED_IN", " OCCURS_DURING", " PRECEDES", " PROJECT_LEADER", " PRESENTED_AT", " PRESENTED_AT", " LOCATED_AT", " LOCATED_IN", " PRESENTED_AT" ]

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[ "Certificate of Pastoral Ministry\nEnroll in a single Course or the Certificate Program.\nRobert J. Duncan Jr., D.Min\nRetired United Methodist Minister\nRetired President of & Professor of Religion at Bacone College\nGuest Lecturers provide insights into the specific area of Pastoral Care that the Student is exploring.\nNorthwind Institute has met the requirements of the Oklahoma Board of Private Vocational Schools to offer certificates of completion for theological and ministry-related courses.\nCourses in the Pastoral Ministry Certificate Program may be transferred to Northwind Seminary's Master of Contextualized Ministry or Master of Specialized Ministry Degree Programs.\nThe classroom password is the Item # on your PayPal Receipt.\nEnroll in all four courses" ]

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[ " RETIRED_FROM", " RETIRED_PRESIDENT", " RETIRED_FROM", " MEETS_REQUIREMENTS", " ENROLLED_IN\n\n Explanation:\n Robert J. Duncan Jr", " CAN_TRANSFER_TO", " COMPLETED_COURSES_WITH\n\n Explanation:\n ", " RETIRED_FROM\n\n Explanation:\n The text states that Robert", " RETIRED_FROM", " AFFILIATED_WITH", " MEETS_REQUIREMENTS", " AFFILIATED_WITH", " PROGRAM_OF\n\n Explanation:\n The text mentions that", " RETIRED_PRESIDENT_OF", " PREVIOUS_AFFILIATION", " MEETS_REQUIREMENTS_OF", " MEETS_REQUIREMENTS", " TRANSFER_PROGRAMS", " TRANSFERABLE_TO", " TRANSFERABLE_FROM", " RETIRED_FROM", " AFFILIATED_WITH", " MEETS_REQUIREMENTS", " MEETS_REQUIREMENTS", " PROVIDES_DEGREE_PROGRAMS_FOR", " PROGRAM_OF\n\n Explanation:\n The text states that \"", " OFFERS_PROGRAM_WITH_NUMBER_OF_COURSES", " MEETS_REQUIREMENTS", " MEETS_REQUIREMENTS_OF", " MEETS_REQUIREMENTS", " MEETS_REQUIREMENTS", " MEETS_REQUIREMENTS", " MEETS_REQUIREMENTS", " MEETS_REQUIREMENTS_FOR\n\n Explanation:\n ", " PROVIDES_FACULTY_FOR\n\n Explanation:\n The", " PROVIDES_TRAINING_FOR\n\n Explanation:\n The text", " TRANSFER_PROGRAMS", " SUBSIDIARY_OF", " MEETS_REQUIREMENTS", " PROGRAM_OF\n\n Explanation:\n The text mentions that", " TRAINING_PROGRAM_FOR\n\n Explanation:\n ", " TEACHER_OF\n\n Explanation:\n The text mentions that", " CONTEXTUALIZED_MINISTRY_OF_UNITED_METHODIST", " TRANSFERABLE_FROM", " OFFERS_DEGREE_PROGRAM", " MEETS_REQUIREMENTS", " DEGREE_PROGRAM_OF", " TRANSFERABLE_FROM", " ENROLLED_IN\n OR\n COMPLETED_COURSES_", " TRANSFERABLE_FROM", " TRAINING_PROVIDER", " MEETS_REQUIREMENTS", " TRANSFERABLE_FROM", " TRANSFERABLE_TO" ]

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[ "This past weekend, current and past Schwa members represented four teams participating in Oregon State's Flat Tail Open tournament:\nOregon Fugue, winners of the tournament, featured Ella Hansen playing in her first spring tournament and Kathryn 'Nij' Weatherhead coaching.\nThe Oregon State Dinos, placing second, featured Sam Rodenburg running circles around the competition while Eva Popp coached.\nThe University of Portland returns the D-III nationals coaching duo of Beckie Zipp and Jenica Villamor, who are now joined by alumni Morgan Nichelini.\nLastly, Kelly Hansen is back coaching the Portland State Osiks.\nCongratulations, Nij and Ella, and everyone else, for a successful start to the 2018 spring season." ]

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[ " MEMBER_OF", " HOSTED_EVENT", " TOURNAMENT_WINNER", " PAST_EVENT_PARTICIPANT", " COACHED", " TOOK_PLACE_AT", " REPRESENTED_BY", " COACHED", " EVENT_ORGANIZED_BY", " FEATURES_IN\n\n Explanation:\n Beckie Zipp", " COACHES", " JOINED_BY", " COACHES", " COACHES", " REPRESENTED_BY", " PAST_EVENT_PARTICIPANT", " EVENT_STARTED_BY\n\n Explanation:\n The text describes an", " PARTICIPATED_IN", " HOSTED_BY", " ORGANIZED_EVENT", " MEMBER_OF", " MEMBER_OF", " COACHED", " MEMBER_OF", " THE_ORGANIZATION_PLACED_SECOND", " FEATURED_IN", " COACHED", " FEATURED_IN", " COACHES", " COACHES", " ALUMNI_OF", " COACHES", " COACHES", " COACHES", " COACHED", " MEMBER_OF", " STARTED_IN_SEASON", " MEMBER_OF", " HOSTED_BY", " PARTICIPATED_IN", " FEATURED_IN", " COACHED", " FEATURED_IN", " FEATURED_IN", " COACHED", " FEATURED_IN", " COACHES", " JOINED_BY", " JOINED_BY", " COACHES", " COACHES", " COACHED", " PLAYED_FOR\n\n Explanation:\n The text states that \"", " EVENT_STARTED_AT\n\n Entities: \n [{'head':", " HOSTED_BY", " FEATURES_OF\n\n Explanation:\n The text states that", " HOSTED_EVENT", " ORG_PART_OF\n ORG_PART_OF is the correct relation label", " FEATURED_IN", " COACHED", " HOSTED_BY", " PLACED_SECOND", " FEATURES_IN.", " COACHED", " HOSTED_BY", " FEATURED_IN", " JOINS", " JOINED_BY", " COACHES", " HOSTED_BY", " HOSTED_BY", " COACHED", " FEATURED_IN", " FEATURES_IN\n\n Explanation:\n The text mentions", " MEMBER_OF", " HOSTED_BY", " WINNER_OF", " PLAYED_IN.", " COACHED", " PARTICIPANT_IN", " PARTICIPATED_IN", " COACHED", " PARTICIPANT_IN", " COACHES", " COACHES", " JOINED_BY", " COACHES", " COACHES", " COACHED", " FEATURED_IN", " TOOK_PLACE_AT", " MEMBER_OF", " PARTICIPATED_IN", " ORG_PARTICIPANT_IN_EVENT", " PARTICIPATED_IN", " FEATURED_IN", " COACHED", " OPPOSITE_TEAM", " Oregon_Fugue_finished_second.", " FEATURED_IN", " COACHED", " OPPOSITE_OF_PART_OF\n\n Explanation:\n The", " COACHES", " COACHES", " ALUMNI_OF", " COACHES", " COACHES", " COACHES", " COACHED", " FEATURED_IN", " WIN. This indicates that the Oregon Fugue won the 2018 spring season", " PRECEDES", " MEMBER_OF", " FEATURED_IN\n\n Explanation:\n Ella Hansen is", " PLAYED_FOR", " PLAYED_IN", " MEMBER_OF", " COACHED", " COACHED", " FEATURES_IN\n\n Explanation:\n Ella Hansen", " PLAYED_AGAINST", " COACHED", " COACHES", " COACHED_BY", " COACHES", " ALUMNUS_OF", " COACHED_BY", " COACHES", " COACHES", " COACHED", " PLAYED_FOR\n\n Entities: \n [{'head': ['", " FEATURED_IN\n\n Explanation:\n The text states that \"", " PRECEDES", " COACHES", " COACHED_BY", " COACHES", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHED", " COACHED", " COACHES_EVENT", " TOOK_PLACE_AT", " MEMBER_OF", " FEATURED_IN", " ORG_PART_OF", " PARTICIPATED_IN", " SECOND_PLACE_BEHIND", " COACHED", " COACHED", " PLACED_SECOND", " FEATURED_IN", " COACHED", " COMPETES_AGAINST", " COACHED", " COACHED", " JOINED_BY", " COACHES", " OPPOSITE_OF_MEMBER_OF", " COACHES", " COACHED", " COACHED", " FEATURED_IN", " THE_ORGANIZATION_PLACED_SECOND", " PLACED_SECOND", " 'FINISHED_BEHIND'", " FEATURES_IN\n\n Explanation:\n The text states that", " COACHED", " FEATURING\n\n Explanation:\n The text states that \"The", " FEATURES_IN\n\n Explanation:\n The text states that", " COACHED", " THE_ORG_PLACED_SECOND", " FEATURED_IN", " COACHED", " JOINED_BY", " COACHES", " THE_ORG_PLACED_SECOND_AT_THE_TOURNAM", " COACHED", " FEATURES_IN\n\n Explanation:\n The text states that", " PRECEDES", " MEMBER_OF", " FEATURED_IN.", " RUN_IN_ORGANIZATION", " RUN_IN\n\n Explanation:\n Sam Rodenburg ran in the", " RUNS_FOR\n\n Explanation:\n Sam Rodenburg runs for", " RUNS_Circles_AROUND", " COACHED", " RUNS_FOR\n\n Explanation:\n The text states that \"", " RUN_BEHIND\n\n Explanation:\n The text states that", " COACHED", " RUNS_FOR", " COACHED_BY", " JOINED_BY", " JOINED_BY", " COACHED", " RUNS_FOR\n\n Explanation:\n The text states that \"", " COACHES", " COACHED", " RUNS_Circles_AROUND", " RUN_IN\n\n Explanation:\n Sam Rodenburg ran in the", " PRECEDES", " COACHED_BY", " FEATURED_IN.", " COACHED_BY", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHES", " COACHED_BY", " COACHES", " COACHED_BY", " COACHES", " COACHES", " COACHES", " COACHED", " COACHED", " COACHED_IN.", " BACKGROUND_EVENT", " FEATURED_IN", " PART_OF", " HOSTED_BY", " HOSTED_AT", " FEATURED_IN", " FEATURED_IN", " COACHES", " JOINED_BY", " FEATURES_IN\n\n Explanation:\n The text states that", " FEATURED_IN", " COACHED", " JOINS", " JOINS", " JOINED_BY", " COACHES", " FEATURES_IN\n\n Explanation:\n The text states that \"", " COACHES", " JOINS", " FEATURED_IN", " RETURNS_FOR\n\n Explanation:\n The text states that \"", " PRECEDES", " MEMBER_OF", " PART_OF", " COACHES", " COACHED_AT", " COACHES", " COACHES", " COACHES", " COACHES", " FEATURES_IN\n\n Explanation:\n Beckie Zipp", " COACHES", " COACHES", " COACHES", " COACHING_DUO", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " JOINS", " PRECEDES", " MEMBER_OF", " JOINED_BY", " JOINS", " JOINED_EVENT", " COACHES", " COACHES", " COACHES", " COACHES", " FEATURES_IN\n\n Explanation:\n Jenica Villam", " COACHES", " COACHES", " JOINS", " COACHES", " JOINED_BY", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " JOINS", " PRECEDES", " ALUMNUS_OF", " JOINED_BY", " JOINS", " JOINED_BY", " ALUMNUS_OF", " ALUMNI_OF", " JOINED_BY", " ALUMNUS_OF", " JOINED_BY", " JOINED_BY", " JOINED_BY", " JOINED_BY", " JOINED_BY", " JOINED_BY", " ALUMNI_OF", " ALUMNUS_OF", " JOINS", " JOINED_BY", " JOINED_BY", " JOINS", " WAS_ACTIVE_DURING", " COACHES", " COACHES_OF\n\n Explanation:\n The text states that \"", " COACHES", " COACHED", " COACHES", " COACHES", " COACHES", " COACHES", " COACHED", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES_EVENT", " BELONGED_TO\n\n Explanation:\n The entities represent the", " COACHES", " FEW_OR_MORE_TEAMS", " HOSTED_BY", " HOSTED_BY", " COACHES", " COACHES", " COACHES", " COACHES", " COACHED", " COACHED", " COACHES", " COACHES", " COACHES", " COACHES", " JOINED_BY", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES_EVENT", " COACHES", " COHOSTS", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " WAS_DURING", " MEMBER_OF", " TEAM_MEMBER_OF\n Or\n NO_RELATION (if '", " COACHES", " COACHED", " COACHES", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHED", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHES", " COACHED", " COOCHING_OF\n OR COOCHING_IN\n (Note", " WAS_ACTIVE_DURING", " MEMBER_OF", " FEATURED_IN\n\n Explanation:\n The text states that \"", " PLAYED_FOR.", " PLAYED_IN\n\n Entities: \n [{'head': ['", " MEMBER_OF", " IS_MEMBER_OF\n\n Entities: \n [{'head':", " COACHED", " COACHED", " FEATURES_IN\n\n Explanation:\n The text states that", " PLAYED_AGAINST", " COACHED", " COACHES", " COACHED_BY", " COACHES", " ALUMNUS_OF", " COACHED_BY", " COACHES", " COACHES", " COACHED", " PLAYED_IN\n\n Explanation:\n The text states that \"", " MEMBER_OF", " HOSTED_EVENT", " FEATURED_IN", " FEATURED_IN", " COACHED", " FEATURED_IN", " REPRESENTED_BY\n\n Explanation:\n In the text", " COACHED", " COOCCURS_IN", " COACHES", " JOINS", " JOINED_BY", " COACHES", " COACHES", " CONGRATULATIONS", " FEATURED_IN" ]

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[ "Sheridan, who is taking over for Matt Burke as the Lions' linebackers coach, is from Detroit. He went to Grand Valley State, and he actually coached linebackers at Michigan State from 1998-2000. He later served as an assistant at Michigan from 2002-04, and he was most recently the Tampa Bay Buccaneers' defensive coordinator from 2012-13.\nAustin, who was the favorite all along to replace Gunther Cunningham and be Jim Caldwell's defensive coordinator, also was once an assistant at Michigan (from 1999-2002). In the NFL, he's been a defensive backs coach for the Seattle Seahawks, Arizona Cardinals and Baltimore Ravens, and he went to the Super Bowl with all three teams. He was most recently with the Ravens from 2011-13, and he went to Baltimore after spending a year as the defensive coordinator at Florida.\nIn addition to announcing these two hires, the Lions also officially retained several assistant coaches on Friday." ]

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"ORG", "Arizona Cardinals" ] } ], [ { "head": [ "185", "186", "DATE", "Friday" ], "tail": [ "124", "126", "ORG", "Baltimore Ravens" ] } ], [ { "head": [ "185", "186", "DATE", "Friday" ], "tail": [ "145", "146", "ORG", "Ravens" ] } ], [ { "head": [ "185", "186", "DATE", "Friday" ], "tail": [ "155", "156", "ORG", "Baltimore" ] } ], [ { "head": [ "185", "186", "DATE", "Friday" ], "tail": [ "165", "166", "ORG", "Florida" ] } ], [ { "head": [ "185", "186", "DATE", "Friday" ], "tail": [ "177", "178", "ORG", "Lions" ] } ] ]

[ " REPLACE_ME\n\n The entities refer to people, so we'll use", " COACHES_AT. The head entity is the coach and the tail entity is the organization", " FROM_CITY", " EDUCATED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " COWORKED_AT. This is because both Sheridan and Austin worked at Michigan at the", " REPLACE_ME\n\n The entities do not appear in a clear head-tail", " COACHES", " COACHED_AT", " COACHED_AT", " COACHED_IN.", " COACHED_FOR", " COACHED_FOR", " PREVIOUS_EMPLOYER", " BEEN_TO.", " COACHED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " WAS_PREVIOUSLY_EMPLOYED_BY", " PREVIOUS_EMPLOYER_OF\n\n Entities: ", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n Sheridan coached for", " COACHES", " NO_RELATION", " TAKES_OVER_FROM", " TAKES_OVER_FROM", " TAKES_OVER_FROM", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " FORMER_EMPLOYER", " REPLACE_ME\n\n Entities: \n [{'head': ['", " REPLACE_ME\n\n The entities are 'Matt Burke' and '", " REPLACE_ME\n\n Entities: \n [{'head': ['", " REPLACE_ME\n\n Entities: \n [{'head': ['", " COACHED_AT", " COACHED_AT.", " REPLACE_ME\n\n Entities: \n [{'head': ['", " COACHED_FOR", " 'PREVIOUS_EMPLOYER'", " REPLACE_ME\n\n Entities: \n [{'head': ['", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " REPLACE_ME\n\n The entities do not have a relation in the given text", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " NO_RELATION", " PREVIOUS_EMPLOYER", " TAKES_OVER_FROM", " TAKES_OVER_FROM", " NO_RELATION", " EMPLOYED_BY", " REPLACE_ME\n\n Entities: \n [{'head': ['", " LOCATION_IN.", " SPOUSE \n\n This is incorrect. The text does not mention any relation between", " COACHED_AT", " COACHED_AT", " COACHED_AT", " SHERIDAN_COACHED_AT\n ORGANIZATION_Y", " PREVIOUSLY_WORKED_FOR", " The Lions (head) employed Austin (tail) from 2012-1", " COACHED_FOR", " REPLACE_ME\n\n The entities refer to the Detroit Lions football team and", " EMPLOYED_BY", " COACHED_AT", " PREVIOUSLY_WORKED_AT", " MEMBER_OF", " PREVIOUS_EMPLOYER", " AUSTIN_WORKED_FOR_Arizona_Cardinals", " PREVIOUS_EMPLOYER", " Austin -> NO_RELATION -> [Sheridan, Lions]", " COACHED_FOR\n\n Entities: \n [{'head': ['", " PREVIOUS_EMPLOYER", " The Lions (head) employed Austin (tail) from 2011-1", " PREVIOUS_EMPLOYER", " RETAINED", " PREVIOUS_EMPLOYER", " COACHED_FOR", " ORG_MEMBER_OF", " NO_RELATION", " LOCATION_OF\n\n Entities: \n [{'head': ['", " REPLACE_ME\n\n Entities: \n [{'head': ['", " COACHES_AT. The head entity is the coach and the tail entity is the organization", " EDUCATED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " PREVIOUSLY_WORKED_FOR", " SHERIDAN_was_DEFENSIVE_COORDINATOR_of_", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " REPLACE_ME\n\n Entities: \n [{'head': ['", " HEAD_OF\n\n Explanation:\n The text states that \"J", " COACHED_AT", " COACHED_AT", " COACHES_IN.", " COACHED_FOR", " COACHED_FOR\n\n Entities: \n [{'head': ['", " PREVIOUSLY_WORKED_FOR", " Austin -> NO_RELATION -> Sheridan\n Sheridan -> NO_RELATION ->", " COACHED_FOR\n\n Entities: \n [{'head': ['", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER\n\n Explanation:\n ", " PREVIOUSLY_WORKED_FOR", " NO_RELATION", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that \"", " COACHES_AT. The head entity is the coach and the tail entity is the team", " NO_RELATION", " EDUCATED_AT", " PREVIOUSLY_WORKED_FOR", " COACHED_AT", " EDUCATED_AT", " COACHED_AT. Previous coaching experience at one organization by another entity.", " COACHED_AT", " COACHED_AT. This is the relation between the entities where the head entity is the", " COACHED_AT", " COACHED_AT. Previous coaching experience at Grand Valley State and the Tampa Bay", " COACHED_AT. In this context, 'Grand Valley State' is the head", " COACHED_AT. Previous entity coached the current entity at some point in the", " COACHED_FOR\n\n Entities: \n [{'head': ['", " COACHED_AT", " COACHED_AT. Previous coaching experience at one organization by another entity.", " COACHED_AT", " EDUCATED_AT\n\n Entities: \n [{'head':", " COACHED_FOR\n\n Entities: \n [{'head': ['", " COACHED_AT. Previous employer of the head entity is the tail entity.", " COACHED_AT. Previous coaching experience at Grand Valley State and later at Baltimore Rav", " COACHED_AT\n\n Entities: \n [{'head': ['", " COACHED_FOR\n\n Entities: \n [{'head': ['", " COACHED_AT. Previous coaching experience at Grand Valley State and then at the Rav", " COACHED_AT. In this context, 'Sheridan' is the head entity", " COACHED_AT. Previous coaching experience at Grand Valley State for the head entity,", " COACHED_AT. Previous to the given context, Sheridan coached at Grand", " COACHED_AT. Previous coaching experience at different institutions.", " EDUCATED_AT", " COACHED_AT", " NO_RELATION", " COACHED_AT", " COACHED_AT. This is the relation between the entities, where the head entity is", " COACHED_AT", " COACHED_AT", " COACHED_AT. Previous organization (head) of entity1 coached at another", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT. Previous head coached at the given tail entity.", " COACHED_AT", " COACHED_AT. This is because 'Austin' was an assistant coach at", " COACHED_FOR", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT. In the NFL, he coached at Michigan State from 1", " COACHED_FOR\n\n Explanation:\n The text states that Sher", " COACHED_AT. Previous head coached at Michigan State, current tail coached", " COACHED_AT. Previous coaching experience at Michigan State and later at Baltimore Ravens", " COACHED_AT.\n\n Explanation:\n The text states that", " COACHED_AT", " COACHED_AT. Previous coaching experience at Michigan State and Ravens.", " COACHED_AT", " COACHED_AT. Previous coaches at different organizations.", " COACHED_AT. Previous head coached at the given location for the given duration", " COACHED_AT. Previous organizations for both entities. The relation is from the head", " COACHED_AT", " COACHED_AT", " ANNOUNCED_ON", " COACHED_AT", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_FOR", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " COACHED_AT", " COACHED_IN.", " COACHED_FOR", " COACHED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " COACHED_AT", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " COACHED_IN. This is the relation between the entity Michigan and the location Detroit,", " EDUCATED_AT", " COACHED_AT. Previous entity coached at the next entity.", " COACHED_AT", " COACHED_AT", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " COACHED_AT", " COACHED_AT", " WORKED_FOR", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that \"", " PREVIOUS_EMPLOYER", " WAS_AT. This is because the head entity (Michigan) is the location", " COACHED_FOR\n\n Explanation:\n The text states that \"", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER\n\n Explanation:\n ", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that \"", " COACHED_FOR", " NO_RELATION", " COACHED_AT", " REPLACE_ME\n\n Entities: \n [{'head': ['", " Served_at", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " SERVED_AS\n\n Entities: \n [{'head': ['5", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " COACHED_AT", " COACHED_IN.", " COACHED_FOR", " COACHED_FOR", " PREVIOUSLY_WORKED_FOR", " HE_PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " COACHED_AT", " SPOUSE --> This text does not provide enough context to determine a relation between the", " DEFENSIVE_COORDINATOR_OF", " REPLACE_ME\n\n Entities: \n [{'head': ['", " COACHED_FOR\n\n Explanation:\n The text states that Sher", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " COACHED_AT. Previous employer of the head entity is the tail entity.", " COACHED_AT", " COACHED_AT. Previous team (head) and current team (tail).", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_DEFENSIVE_COORDINATOR", " COACHED_FOR", " COACHED_AT. Previous team (head) and current team (tail).", " COACHED_AT", " BUCCANEERS_IN_NFL", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER. This is the correct label for the given", " PREVIOUS_EMPLOYER", " The Tampa Bay Buccaneers' were at the Super Bowl.", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER_OF\n\n Entities: ", " PREVIOUS_EMPLOYER. This is the correct label for the given", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Entities: \n [{'head': ['", " ANNOUNCED_ON", " PREVIOUS_EMPLOYER", " REPLACE_ME\n\n Entities: \n [{'head': ['", " SHERIDAN_IS_DEFENSIVE_COORDINATOR_OF_", " FORMER_EMPLOYER_OF", " EDUCATED_AT", " COACHED_AT", " PREVIOUSLY_WORKED_AT", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " REPLACE_ME\n\n The entities refer to the Tampa Bay Buccane", " COACHED_FOR", " COACHED_AT", " PREVIOUS_EMPLOYER", " COACHED_FOR", " COACHED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " REPLACE_ME\n\n The relation between Austin and Matt Burke is that of", " COACHES_AT. The head entity is the coach and the tail entity is the organization", " WORKED_FOR\n\n Entities: \n [{'head': ['", " COACHED_AT", " COACHED_AT", " COACHED_AT", " ASSOC_WITH", " COACHED_AT", " LAST_EMPLOYED_BY", " PREVIOUS_EMPLOYER", " REPLACE_ME\n\n The entities refer to two different people, Austin and Gun", " COORDINATOR_OF", " ASSOC_WITH", " COACHED_AT.", " WORKED_FOR", " COACHED_FOR", " COACHED_FOR", " WAS_PREVIOUSLY_ASSOCIATED_WITH", " WAS_AT. This indicates that the head entity (Austin) was present at", " COACHED_FOR\n\n Explanation:\n In the text, it", " WORKED_FOR", " PREVIOUS_EMPLOYER", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that \"", " COACHES_AT. The head entity is the coach and the tail entity is the team", " NO_RELATION", " REPLACE_ME\n\n Entities: \n [{'head': ['", " REPLACE_ME\n\n Entities: \n [{'head': ['", " REPLACE_ME\n\n The entities refer to Gunther Cunningham, who", " REPLACE_ME\n\n Entities: \n [{'head': ['", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " REPLACE_ME\n\n Entities: \n [{'head': ['", " FORMER_EMPLOYER", " PREVIOUS_DEFENSIVE_COORDINATOR", " REPLACE_ME\n\n The entities are discussing two different people, so there is", " REPLACE_ME\n\n The entities do not appear in the correct format for relation", " COACHED_AT", " ASSISTED_BY", " REPLACE_ME\n\n The relation between Gunther Cunningham and the NFL", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " NO_RELATION. The text does not provide enough context to determine a relation between Gunther", " NO_RELATION", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER\n\n Entities: \n ", " PREVIOUS_EMPLOYER", " NO_RELATION", " PREVIOUS_EMPLOYER", " REPLACE_ME\n\n The entities do not have a direct relation in the text", " REPLACE_ME\n\n The entities refer to 'Gunther Cunningham", " NO_RELATION", " HIRED_BY", " REPLACE_ME\n\n Entities: \n [{'head': ['", " COACHES_AT. The head entity is the coach and the tail entity is the team", " LOCATION.LOCATED_AT.ORGANIZATION", " EDUCATED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " FORMER_EMPLOYER", " COACHED_AT. The text states that Jim Caldwell had Austin as his defensive", " COACHED_FOR", " REPLACE_ME\n\n The entities do not appear in the correct format for relation", " COACHED_AT", " PREVIOUSLY_WORKED_AT", " COACHES_IN.", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " RETAINED", " Austin --was_with--> [EVENT, 'the Super Bowl']", " NO_RELATION", " 'previously_worked_for'", " NO_RELATION", " PREVIOUSLY_WORKED_FOR", " NO_RELATION", " PREVIOUSLY_WORKED_AT", " HAS_DEFENSIVE_COORDINATOR", " COACHES_AT. The head is the coach and the tail is the team.", " NO_RELATION", " COACHED_AT", " PREDECESSOR", " COACHED_FOR", " COACHED_IN.", " COACHED_AT. Previous to Michigan, Sheridan coached at Grand Valley State", " COACHED_AT. Previous to Michigan, Sheridan coached at Michigan State.", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT. Previous head coached at the given tail organization.", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " WORKED_FOR", " WORKED_FOR", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that \"", " COACHED_FOR", " Austin-was_defensive_coordinator_of_three_teams_that_", " COACHED_FOR\n\n Entities: \n [{'head': ['", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER\n\n Entities: \n ", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that '", " COACHED_FOR", " NO_RELATION", " COACHED_AT", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR", " PAST_LOCATION_OF\n\n Entities: \n [{'head", " COACHED_AT", " COACHED_AT", " ASSOC_WITH", " PREVIOUSLY_WORKED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that \"", " PREVIOUSLY_WORKED_FOR", " ASSISTED_BY", " ASSOC_WITH", " PREVIOUSLY_WORKED_FOR", " ASSISTED_BY", " COACHED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " NFL_EMPLOYER", " REPLACE_ME\n\n Entities: \n [{'head': ['", " HIRED_BY", " SPOUSE \n\n This is incorrect. The text does not mention any marriage or", " EDUCATED_AT", " COACHED_AT. This is the correct relation label. The head entity is the organization", " COACHED_AT", " COACHED_AT.", " COACHED_AT", " COACHED_FOR", " COACHED_AT. This is the relation between the NFL and the Tampa Bay Bu", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " REPLACE_ME\n\n The entities refer to the NFL and Gunther Cunning", " EMPLOYED_BY", " COACHED_AT", " PREVIOUSLY_WORKED_AT", " COACHED_FOR", " COACHED_FOR", " PREVIOUS_EMPLOYER", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " 'PREVIOUS_EMPLOYER'", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that \"", " HIRED_BY", " ANNOUNCED_ON", " COACHED_FOR", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " COACHED_AT. In this context, 'Seattle Seahawks' is", " COACHED_AT. This is the relation between the Seattle Seahawks (head", " COACHED_AT. Previous employer of the head entity is the tail entity.", " COACHED_AT", " COACHED_AT. Previous employer of the tail entity is the head entity.", " COACHED_FOR\n\n Entities: \n [{'head': ['", " PREVIOUS_EMPLOYER", " COACHED_FOR", " COACHED_FOR", " PREVIOUS_EMPLOYER", " DEFENSIVE_COORDINATOR_FOR\n\n Explanation:\n", " COACHED_AT. Previous organization (head) of the coach (entity) employed", " ASSISTANT_OF", " COACHED_IN.", " COACHED_FOR\n\n Entities: \n [{'head': ['", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " COACHED_AT. This is the relation between the head entity (Seattle Seah", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " COACHED_FOR", " PREVIOUS_EMPLOYER", " AUSTIN_was_defensive_coordinator_of_Seattle_Seah", " PREVIOUS_EMPLOYER", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " NO_RELATION", " COACHED_FOR", " 'PREVIOUSLY_WORKED_FOR'", " COACHED_FOR\n\n Explanation:\n The text states that \"", " COACHED_AT. In this context, 'Arizona Cardinals' is the head", " COACHED_AT. Previous employer of the head entity is the tail entity.", " COACHED_AT. Previous employer of the head entity is the tail entity.", " COACHED_AT", " COACHED_AT. Previous employer of the head entity is the tail entity.", " COACHED_AT", " COACHED_AT. Previous teams of the same person can be related with this label", " COACHED_AT", " COACHED_FOR", " PREVIOUS_EMPLOYER", " COACHED_FOR", " COACHED_AT. Previous employer of the head entity is the tail entity.", " COACHED_FOR", " COACHED_IN.", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " COACHED_AT. This is the relation between the Arizona Cardinals and the Super Bowl", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " AUSTIN_WORKED_FOR_Arizona_Cardinals.", " COACHED_AT. Previous team of Austin before joining Lions.", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that \"", " NO_RELATION", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_DEFENSIVE_COORDINATOR", " COACHED_FOR", " WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " NO_RELATION. The text does not provide enough context to determine a relation between 'B", " PREVIOUS_EMPLOYER", " WORKED_FOR", " WAS_AT. This is the correct relation label for the given context and entities.", " WAS_PREVIOUSLY_WITH.", " 'PREVIOUS_EMPLOYER'", " PREVIOUS_EMPLOYER", " FORMER_EMPLOYER", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PREVIOUS_EMPLOYER", " 'PREVIOUS_EMPLOYER'", " RETAINED", " GO_TO\n\n Explanation:\n In the text, it is mentioned", " COACHED_AT\n\n Entities: \n [{'head': ['", " Austin.was_defensive_coordinator_of.Baltimore.went_", " Austin.has_been_to.Detroit_at_the_Super_B", " COACHED_AT", " COACHED_AT", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " WAS_DEFENSIVE_COORDINATOR_AT", " WAS_AT. This is the relation between the head (event) and the tail (", " PREVIOUS_DEFENSIVE_COORDINATOR", " COACHED_AT\n\n Explanation:\n The text states that Austin", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " WAS_AT. This is because the head entity is the event and the tail entity is", " WAS_DEFENSIVE_COACH_FOR", " WAS_DEFENSIVE_COORDINATOR_FOR", " WAS_DEFENSIVE_COORDINATOR_FOR", " WAS_DEFENSIVE_COORDINATOR_FOR", " WAS_AT. This is because the head entity is the event, and the tail entity", " WORKED_FOR", " Austin.was_defensive_coordinator_for.Florida\n NO_", " COACHED_FOR\n\n Explanation:\n In the text, it", " REPLACE_ME\n\n The entities refer to Sheridan and Matt Burke.", " COACHED_FOR", " COACHED_IN. In the context, \"He was most recently the Tampa Bay", " COACHED_AT", " COACHED_AT", " COACHED_AT", " LAST_EMPLOYED_AT", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " REPLACE_ME\n\n The entities refer to the same person, so the relation", " COACHED_FOR", " COACHED_FOR", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " COACHED_FOR", " COACHED_FOR", " PREVIOUSLY_WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " COACHED_AT", " COACHED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " LEFT_OF_PREPOSITION\n or\n ORG_REPLAC", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " COACHED_AT. Previous team (head) of the coach (entity 1", " PREVIOUSLY_WORKED_FOR", " WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_DEFENSIVE_COORDINATOR", " COACHED_FOR", " WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " LAST_EMPLOYED_AT. In the context, Austin was most recently with", " PREVIOUS_EMPLOYER", " WORKED_FOR", " 'PREVIOUS_EMPLOYER'", " WAS_AT. This is the correct relation label for the given context and entities.", " WORKED_FOR", " PREVIOUS_EMPLOYER", " WAS_PREVIOUSLY_EMPLOYED_BY", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PREVIOUS_EMPLOYER", " MOVED_FROM\n\n Explanation:\n The text states that \"He", " RETAINED", " PREVIOUS_EMPLOYER", " REPLACE_ME\n\n The entities refer to Matt Burke and the time period", " NO_RELATION", " COACHED_AT", " COACHED_AT", " COACHED_AT", " PREVIOUSLY_WORKED_AT", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_DEFENSIVE_COORDINATOR", " COACHED_FOR", " COACHED_AT", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " COACHED_FOR", " COACHED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " NO_RELATION", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER_OF_CURRENT_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_DEFENSIVE_COORDINATOR", " COACHED_FOR", " WORKED_FOR", " PREVIOUSLY_WORKED_AT", " LAST_EMPLOYER_ORG_OF_TAIL_IS_OR", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PREVIOUS_EMPLOYER", " WAS_AT. This is the reverse of the relation that would be extracted if the entities", " WORKED_FOR", " WORKED_FOR", " PREVIOUS_EMPLOYER", " WORKED_FOR", " WORKED_FOR", " PREVIOUS_EMPLOYER", " LABEL_PREVIOUS_EMPLOYER", " RETAINED", " RECENT_EMPLOYMENT", " REPLACE_ME", " RETAINED", " SHERIDAN_IS_FROM\n OR\n SHERIDAN_CO", " EDUCATED_AT", " COACHED_AT", " COACHED_AT", " PREVIOUSLY_WORKED_FOR", " REPLACE_ME\n\n The entities refer to the same person, so no relation", " REPLACE_ME\n\n The entities refer to the same person, so no relation", " RETAINED", " COACHED_AT", " RETAINED", " COACHED_FOR", " COACHED_FOR", " PREVIOUS_EMPLOYER", " 'PREVIOUSLY_WORKED_FOR'", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " RETAINED", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER_OF_EMPLOYEE\n\n", " COACHED_AT. Previous employment of the head entity (Florida) by", " COACHED_AT. Previous organization (head) of person (tail).", " PREVIOUSLY_WORKED_AT", " PREVIOUS_EMPLOYER\n\n Explanation:\n ", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_DEFENSIVE_COORDINATOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER\n\n Explanation:\n ", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " COACHED_AT. Previous employer of the head entity is the tail entity.", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER_OF.", " COACHED_FOR\n\n Explanation:\n The text states that Austin", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " COACHED_AT", " PREVIOUS_EMPLOYER\n\n Explanation:\n ", " RETAINED", " REPLACE_ME\n\n The entities refer to the same person, so the relation", " REPLACE_ME\n\n The entities refer to Sheridan and Matt Burke.", " EMPLOYED_BY", " COACHED_IN", " EDUCATED_AT", " COACHED_AT", " COACHED_AT", " PREVIOUS_EMPLOYER", " COACHED_FOR\n\n Explanation:\n The text states that \"", " REPLACE_ME\n\n The entities refer to Sheridan and Gunther Cunning", " COACHED_FOR", " COACHED_AT", " COACHED_FOR", " COACHED_FOR", " 'PREVIOUS_EMPLOYER'", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " COACHED_FOR", " EMPLOYED_BY", " REPLACE_ME\n\n Entities: \n [{'head': ['", " EMPLOYER_EMPLOYEE", " LOCATION_IN.", " EDUCATED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " SHERIDAN_ASSISTED_MICHIGAN\n (Note:", " PREVIOUSLY_WORKED_FOR", " PREVIOUS_EMPLOYER", " EMPLOYED_BY", " REPLACE_ME\n\n The relation between the entities is REPLACED_", " EMPLOYER_OF\n\n Explanation:\n The text states", " COACHED_AT", " COACHED_AT", " MEMBER_OF", " PREVIOUS_EMPLOYER", " AUSTIN_WORKED_FOR_Arizona_Cardinals", " PREVIOUS_EMPLOYER", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " COACHED_FOR\n\n Explanation:\n The text states that \"", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " RETAINED", " PREVIOUS_EMPLOYER", " EMPLOYED_BY", " NO_RELATION", " HIRED_BY", " REPLACE_ME\n\n Entities: \n [{'head': ['", " HIRED_BY", " HIRED_BY", " EDUCATED_AT", " COACHED_AT", " COACHED_AT", " PREVIOUSLY_WORKED_FOR", " NO_RELATION", " REPLACE_ME\n\n The entities refer to the Lions retaining Gunther", " RETAINED", " COACHED_AT", " RETAINED", " COACHED_FOR", " COACHED_FOR", " 'PREVIOUS_EMPLOYER'", " PREVIOUS_EMPLOYER", " 'PREVIOUS_EMPLOYER'", " PREVIOUS_EMPLOYER", " HIRED_BY" ]

[ [ "0", "1", "PERSON", "Sheridan" ], [ "7", "9", "PERSON", "Matt Burke" ], [ "11", "12", "ORG", "Lions" ], [ "18", "19", "GPE", "Detroit" ], [ "23", "26", "ORG", "Grand Valley State" ], [ "33", "35", "ORG", "Michigan State" ], [ "36", "39", "DATE", "1998-2000" ], [ "47", "48", "ORG", "Michigan" ], [ "49", "52", "DATE", "2002-04" ], [ "58", "63", "ORG", "the Tampa Bay Buccaneers'" ], [ "66", "69", "DATE", "2012-13" ], [ "71", "72", "PERSON", "Austin" ], [ "81", "83", "PERSON", "Gunther Cunningham" ], [ "85", "88", "PERSON", "Jim Caldwell's" ], [ "97", "98", "ORG", "Michigan" ], [ "100", "103", "DATE", "1999-2002" ], [ "107", "108", "ORG", "NFL" ], [ "118", "120", "ORG", "Seattle Seahawks" ], [ "121", "123", "ORG", "Arizona Cardinals" ], [ "124", "126", "ORG", "Baltimore Ravens" ], [ "131", "134", "EVENT", "the Super Bowl" ], [ "136", "137", "CARDINAL", "three" ], [ "145", "146", "ORG", "Ravens" ], [ "147", "150", "DATE", "2011-13" ], [ "155", "156", "ORG", "Baltimore" ], [ "158", "160", "DATE", "a year" ], [ "165", "166", "ORG", "Florida" ], [ "173", "174", "CARDINAL", "two" ], [ "177", "178", "ORG", "Lions" ], [ "185", "186", "DATE", "Friday" ] ]

[ "The Archipelago lantern is an impressive wooden lantern, which can be found in our selection in the colours white, dark grey and black. The lanterns are made in Finland and they are Finnish Key Flag products.\nFine sawn pine\nColour and surface finishing\n21 x 21 x 42 cm (WxDxH)\nOne of the product's glasses in the front can be lifted up.\nThe product is made in Finland.\nDelivery only within Finland.\nThe lantern should be used only on heat tolerant surface. There must not be any flammable material nearby. Never leave a burning lantern without supervision and make sure that children can not get their hands on it. Do not move the lantern when there is a burning candle inside. Do not drop foreign objects on the candle, such as matches.\nPinetta Tuote Oy" ]

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[ [ { "head": [ "1", "2", "LOC", "Archipelago" ], "tail": [ "31", "32", "GPE", "Finland" ] } ], [ { "head": [ "1", "2", "LOC", "Archipelago" ], "tail": [ "35", "38", "ORG", "Finnish Key Flag" ] } ], [ { "head": [ "1", "2", "LOC", "Archipelago" ], "tail": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ] } ], [ { "head": [ "1", "2", "LOC", "Archipelago" ], "tail": [ "60", "61", "CARDINAL", "One" ] } ], [ { "head": [ "1", "2", "LOC", "Archipelago" ], "tail": [ "80", "81", "GPE", "Finland" ] } ], [ { "head": [ "1", "2", "LOC", "Archipelago" ], "tail": [ "86", "87", "GPE", "Finland" ] } ], [ { "head": [ "1", "2", "LOC", "Archipelago" ], "tail": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] } ], [ { "head": [ "31", "32", "GPE", "Finland" ], "tail": [ "1", "2", "LOC", "Archipelago" ] } ], [ { "head": [ "31", "32", "GPE", "Finland" ], "tail": [ "35", "38", "ORG", "Finnish Key Flag" ] } ], [ { "head": [ "31", "32", "GPE", "Finland" ], "tail": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ] } ], [ { "head": [ "31", "32", "GPE", "Finland" ], "tail": [ "60", "61", "CARDINAL", "One" ] } ], [ { "head": [ "31", "32", "GPE", "Finland" ], "tail": [ "80", "81", "GPE", "Finland" ] } ], [ { "head": [ "31", "32", "GPE", "Finland" ], "tail": [ "86", "87", "GPE", "Finland" ] } ], [ { "head": [ "31", "32", "GPE", "Finland" ], "tail": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] } ], [ { "head": [ "35", "38", "ORG", "Finnish Key Flag" ], "tail": [ "1", "2", "LOC", "Archipelago" ] } ], [ { "head": [ "35", "38", "ORG", "Finnish Key Flag" ], "tail": [ "31", "32", "GPE", "Finland" ] } ], [ { "head": [ "35", "38", "ORG", "Finnish Key Flag" ], "tail": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ] } ], [ { "head": [ "35", "38", "ORG", "Finnish Key Flag" ], "tail": [ "60", "61", "CARDINAL", "One" ] } ], [ { "head": [ "35", "38", "ORG", "Finnish Key Flag" ], "tail": [ "80", "81", "GPE", "Finland" ] } ], [ { "head": [ "35", "38", "ORG", "Finnish Key Flag" ], "tail": [ "86", "87", "GPE", "Finland" ] } ], [ { "head": [ "35", "38", "ORG", "Finnish Key Flag" ], "tail": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] } ], [ { "head": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ], "tail": [ "1", "2", "LOC", "Archipelago" ] } ], [ { "head": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ], "tail": [ "31", "32", "GPE", "Finland" ] } ], [ { "head": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ], "tail": [ "35", "38", "ORG", "Finnish Key Flag" ] } ], [ { "head": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ], "tail": [ "80", "81", "GPE", "Finland" ] } ], [ { "head": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ], "tail": [ "86", "87", "GPE", "Finland" ] } ], [ { "head": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ], "tail": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] } ], [ { "head": [ "60", "61", "CARDINAL", "One" ], "tail": [ "1", "2", "LOC", "Archipelago" ] } ], [ { "head": [ "60", "61", "CARDINAL", "One" ], "tail": [ "31", "32", "GPE", "Finland" ] } ], [ { "head": [ "60", "61", "CARDINAL", "One" ], "tail": [ "35", "38", "ORG", "Finnish Key Flag" ] } ], [ { "head": [ "60", "61", "CARDINAL", "One" ], "tail": [ "80", "81", "GPE", "Finland" ] } ], [ { "head": [ "60", "61", "CARDINAL", "One" ], "tail": [ "86", "87", "GPE", "Finland" ] } ], [ { "head": [ "60", "61", "CARDINAL", "One" ], "tail": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] } ], [ { "head": [ "80", "81", "GPE", "Finland" ], "tail": [ "1", "2", "LOC", "Archipelago" ] } ], [ { "head": [ "80", "81", "GPE", "Finland" ], "tail": [ "31", "32", "GPE", "Finland" ] } ], [ { "head": [ "80", "81", "GPE", "Finland" ], "tail": [ "35", "38", "ORG", "Finnish Key Flag" ] } ], [ { "head": [ "80", "81", "GPE", "Finland" ], "tail": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ] } ], [ { "head": [ "80", "81", "GPE", "Finland" ], "tail": [ "60", "61", "CARDINAL", "One" ] } ], [ { "head": [ "80", "81", "GPE", "Finland" ], "tail": [ "86", "87", "GPE", "Finland" ] } ], [ { "head": [ "80", "81", "GPE", "Finland" ], "tail": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] } ], [ { "head": [ "86", "87", "GPE", "Finland" ], "tail": [ "1", "2", "LOC", "Archipelago" ] } ], [ { "head": [ "86", "87", "GPE", "Finland" ], "tail": [ "31", "32", "GPE", "Finland" ] } ], [ { "head": [ "86", "87", "GPE", "Finland" ], "tail": [ "35", "38", "ORG", "Finnish Key Flag" ] } ], [ { "head": [ "86", "87", "GPE", "Finland" ], "tail": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ] } ], [ { "head": [ "86", "87", "GPE", "Finland" ], "tail": [ "60", "61", "CARDINAL", "One" ] } ], [ { "head": [ "86", "87", "GPE", "Finland" ], "tail": [ "80", "81", "GPE", "Finland" ] } ], [ { "head": [ "86", "87", "GPE", "Finland" ], "tail": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] } ], [ { "head": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ], "tail": [ "1", "2", "LOC", "Archipelago" ] } ], [ { "head": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ], "tail": [ "31", "32", "GPE", "Finland" ] } ], [ { "head": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ], "tail": [ "35", "38", "ORG", "Finnish Key Flag" ] } ], [ { "head": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ], "tail": [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ] } ], [ { "head": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ], "tail": [ "60", "61", "CARDINAL", "One" ] } ], [ { "head": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ], "tail": [ "80", "81", "GPE", "Finland" ] } ], [ { "head": [ "156", "159", "PERSON", "Pinetta Tuote Oy" ], "tail": [ "86", "87", "GPE", "Finland" ] } ] ]

[ " MADE_IN.", " PRODUCER_OF", " DIMENSIONS_OF", " CAN_CONTAIN", " MADE_IN", " MADE_IN", " MANUFACTURER", " PRODUCED_IN", " PRODUCER_OF", " SIZE_OF\n\n Explanation:\n The text states that \"The", " PRODUCED_IN", " PRODUCED_IN", " PRODUCED_IN", " MANUFACTURED_BY", " PRODUCED_BY", " PRODUCED_IN", " DIMENSIONS_OF", " PRODUCER_OF", " PRODUCED_IN", " PRODUCED_IN", " MANUFACTURER", " SIZE_OF", " SIZE_OF\n\n Explanation:\n The text states that \"The", " PRODUCED_BY", " SIZE_OF\n\n Explanation:\n The text states that \"The", " SIZE_OF\n\n Explanation:\n The text states that \"The", " PRODUCES", " ONE_OF_MANY\n or\n PRODUCT_OF\n or\n", " MADE_IN.", " PRODUCED_BY", " MADE_IN.", " MADE_IN.", " MANUFACTURED_BY", " MADE_IN", " PRODUCED_IN", " PRODUCER_OF", " SIZE_OF\n\n Explanation:\n The text states that \"The", " PRODUCED_IN", " PRODUCED_IN", " PRODUCED_BY", " MADE_IN", " PRODUCED_IN", " PRODUCER_OF", " DIMENSIONS_OF", " PRODUCED_IN", " PRODUCED_IN", " PRODUCER_OF", " MANUFACTURER", " PRODUCED_IN", " PRODUCER_OF", " PRODUCES\n\n Explanation:\n The text states that \"The", " MANUFACTURER", " PRODUCED_IN", " PRODUCED_IN" ]

[ [ "1", "2", "LOC", "Archipelago" ], [ "31", "32", "GPE", "Finland" ], [ "35", "38", "ORG", "Finnish Key Flag" ], [ "50", "56", "QUANTITY", "21 x 21 x 42 cm" ], [ "60", "61", "CARDINAL", "One" ], [ "80", "81", "GPE", "Finland" ], [ "86", "87", "GPE", "Finland" ], [ "156", "159", "PERSON", "Pinetta Tuote Oy" ] ]

[ "Delta, BC (September 2, 2015) Reach Foundation director Tanya Corbet, executive director Renie D’Aquila and fundraising manager Joni Wright were thrilled to receive a $20,000 contribution from Matcon Civil Constructors today. Matcon supported their community in a big way just as is says on their banner! Lance Perkins, VP Construction and Adam Whitworth, VP Operations for Matcon both were present to make the generation donation. The funds will be used to help build the new Reach child development centre in the heart of Ladner.\nPhoto: Joni Wright, Lance Perkins, Renie D’Aquila, Tanya Corbet, Adam Whitworth" ]

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DIRECTOR", " DONATED_TO", " ORGANIZATION_SUPPORTED_BY\n ORGANIZATION (head", " LOCATION.\n\n Explanation:\n The text states that the Re", " LOCATION_IN.\n\n Explanation:\n The entities represent the", " DONATION", " RECEIVED_DONATION", " RECEIVED_DONATION_FROM", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATED_BY", " SUPPORTED_BY", " ORGANIZED_BY", " DONATED_TO", " RECEIVED_DONATION", " LOCATION_OF\n\n Explanation:\n The text states that the", " DONATION\n\n Entities: \n [{'head': ['99", " DONATED_BY", " RECEIVED_DONATION", " RECEIVED_DONATION", " ORGANIZED_BY", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that the", " RECEIVED_DONATION_ON\n\n Entities: \n ", " DIRECTOR", " DIRECTOR", " FUNDRAISER", " DONATION", " DONATED_TO", " SUPPORTED_ON_DATE", " DONATED_TO", " DONATED_BY", " DONATED_TO", " DONATED_BY", " DONATED_TO", " SAME_ORGANIZATION", " BUILDS_IN.\n\n Explanation:\n The text states that", " FUNDRAISER", " DONATED_BY", " DIRECTOR", " DIRECTOR", " DONATED_BY", " LOCATION_OF\n\n Explanation:\n Tanya Corbet is", " LOCATION_OF\n\n Explanation:\n Tanya Corbet is", " RECEIVED_DONATION_ON\n\n Entities: \n ", " DIRECTOR", " DIRECTOR\n\n Entities: \n [{'head': ['12", " DIRECTOR\n\n Entities: \n [{'head': ['12", " DONATION", " DONATED_TO", " RECEIVED_MONEY_ON_DATE", " DONATED_TO", " DONATED_BY", " DONATED_BY", " DONOR", " DONATED_TO", " DIRECTOR", " BUILDS_IN.\n\n Explanation:\n The text states that", " DIRECTOR\n\n Entities: \n [{'head': ['12", " DONATED_BY", " DIRECTOR\n\n Entities: \n [{'head': ['10", " SELF_REFERENCE", " DONATED_TO", " LOCATED_IN", " DISEMBARKS_IN\n\n Explanation:\n Renie D", " DIED_ON\n\n Explanation:\n The text does not provide any", " DIRECTOR", " DIRECTOR\n\n Explanation:\n Renie D’Aquila", " DIRECTOR\n\n Explanation:\n Renie D’Aquila", " DONATION", " DONATED_TO", " SUPPORTED_ON_DATE", " DONATED_TO", " DONATED_TO", " DIRECTOR_OF\n\n Explanation:\n Renie D’A", " ORGANIZATION_SUPPORTS\n\n Explanation:\n Renie", " DONATED_TO", " DIRECTOR", " BUILDS_IN\n\n Explanation:\n Renie D’A", " DIRECTOR\n\n Explanation:\n Renie D’Aquila", " DONATED_BY", " SAME_PERSON", " DIRECTOR\n\n Entities: \n [{'head': ['10", " DONOR", " FUNDRAISER_FOR", " LOCATION_OF\n\n Explanation:\n The text states that the", " RECEIVED_DONATION_ON_DATE", " FUNDRAISER", " FUNDING\n\n Entities: \n [{'head': ['12", " FUNDING\n\n Explanation:\n The text states that Joni Wright", " DONATION", " DONATED_TO", " DONATION_ON_DATE", " DONATED_TO", " DONATED_BY", " FUNDRAISER", " DONOR", " DONATION", " FUNDRAISER", " FUNDING_LOCATION", " SELF_REFERENCE", " DONATED_BY", " SPOUSE_OR_INTIMATE_PARTNER\n\n Explanation:", " FUNDING\n\n Entities: \n [{'head': ['10", " DONATED_TO", " DONATION\n\n Entities: \n [{'head': ['0',", " DONATION_FROM\n\n Explanation:\n The text states that Mat", " DONATION", " DONATION", " DONATION", " DONATION", " DONATION", " DONATION", " DONATED_MONEY_TO", " DONATION", " DONATED_MONEY_TO", " DONATION", " DONATION", " FUNDING", " DONATION", " DONATED_MONEY_TO", " DONATION", " DONATION", " DONATION", " LOCATED_IN", " LOCATED_IN", " DONATED_ON\n\n Entities: \n [{'head': ['", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATION", " DONATION\n\n Entities: \n [{'head': ['33", " ORG_DONATED_TO_ORG", " DONATED_BY", " CONSTRUCTION\n\n Entities: \n [{'head': ['33", " DONATED_BY", " ORG_DONATED_TO_ORG", " DONATED_TO", " CONSTRUCTION_PROJECT_LOCATION", " DONATED_TO", " DONATED_BY", " DONATED_TO", " DONATED_TO", " DONATED_BY", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n\n Explanation:\n The text states that the", " DONATION", " RECEIVED_MONEY_FROM", " RECEIVED_DONATION_FROM", " DONATION\n\n Entities: \n [{'head': ['22", " DONATION", " DONATION", " DONATED_BY", " SUPPORTED_BY", " ORGANIZATION_SUPPORTED_BY_PERSON", " DONATED_TO", " CONTIBUTED_TO", " SUPPORTS", " DONATION\n\n Entities: \n [{'head': ['36", " DONATED_BY", " RECEIVED_DONATION_FROM", " RECEIVED_MONEY_FROM", " ORGANIZATION_SUPPORTED_BY_PERSON", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that Mat", " DONATED_ON\n\n Entities: \n [{'head': ['", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONOR", " DONATION", " ORG_NAME_ALIAS", " DONATION_ON_DATE", " DONATED_BY", " CONSTRUCTION_COMPANY", " DONATED_BY", " DONOR", " DONATED_TO", " SUPPORTS", " DONATED_TO", " DONATED_BY", " DONATED_TO", " DONATED_TO", " DONATED_BY", " ORGANIZATION_SUPPORTS", " LOCATION_OF\n\n Explanation:\n Lance Perkins is", " MADE_DONATION_ON\n\n Entities: \n [{'", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATION", " DONATED_BY", " MADE_DONATION_ON\n\n Entities: \n [{'", " DONATED_BY", " VP_OF_CONSTRUCTION", " ORGANIZATION_EMPLOYEE", " DONATED_BY", " DONATED_TO", " SUPPORTS", " DONATED_TO", " SELF_REFERENCE", " DONATED_TO", " DONATED_TO", " ORGANIZATION_EMPLOYEE", " LOCATION_OF\n\n Explanation:\n The text states that Mat", " LOCATION_OF\n\n Explanation:\n The text states that Mat", " SUPPORTED_DATE", " CONSTRUCTION_OF\n or\n DONATED_TO\n or\n", " DONATED_TO", " DONATED_TO", " FUNDRAISED_BY", " CONTIBUTION", " SUPPORTED_BY", " SUPPORTED_ON_DATE", " CONSTRUCTION_COMPANY_DONATED_MONEY_TO\n OR", " VP_CONSTRUCTION\n\n Explanation:\n The text states that", " VP_OF\n\n Explanation:\n The text states that \"Ad", " CONSTRUCTION_COMPANY", " CONSTRUCTION_OF\n or\n DONATED_TO\n or\n", " CONSTRUCTION_OF\n\n Explanation:\n The text states that the", " DONATED_TO", " VP_CONSTRUCTION\n\n Explanation:\n The text states that", " DONATED_TO", " DONATED_TO", " VP_OF\n\n Explanation:\n The text states that \"Ad", " ORGANIZATION_LOCATED_IN.", " LOCATION_OF\n\n Explanation:\n The text states that Mat", " DONATION_FROM\n\n Entities: \n [{'head': ['", " DONATED_TO", " DONATED_TO", " DONOR\n\n Entities: \n [{'head': ['17", " ORGANIZATION_EMPLOYEE", " DONATION", " VP_OPERATIONS_OF\n or\n ORG_DONATED", " MADE_DONATION_ON\n\n Entities: \n [{'", " VP_OPERATIONS_OF", " ORGANIZATION_EMPLOYEE", " VP_OPERATIONS", " VP_OPERATIONS_OF", " DONATED_TO", " FUNDING.\n\n Explanation:\n The text states that \"The", " ORGANIZATION_EMPLOYEE", " ORGANIZATION_EMPLOYEE\n\n Explanation:\n ", " DONOR", " DONATED_TO", " SAME_PERSON", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that Mat", " DONATED_ON\n\n Entities: \n [{'head': ['", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONOR", " DONATION", " ORG_NAME_ALIAS", " SUPPORTED_ON_DATE", " DONOR", " DONATED_BY", " CONSTRUCTION_COMPANY", " DONATED_BY", " DONATED_TO", " BUILDS_IN\n\n Explanation:\n The text states that Mat", " DONATED_TO", " DONATED_BY", " DONATED_TO", " DONATED_TO", " DONATED_BY", " LOCATED_IN", " LOCATION_IN.", " EVENT_DATE", " ORG_IS_A_PART_OF\n\n Explanation:\n ", " DIRECTOR", " DIRECTOR", " FUNDING.\n\n Entities: \n [{'head': ['2", " DONATION", " DONATED_TO", " SUPPORTED_ON_DATE", " DONATED_TO", " DONATED_BY", " SUPPORTED_BY", " DONATED_BY", " DONATED_TO", " BUILDS_IN.\n\n Explanation:\n The text states that", " FUNDRAISER", " DONATED_BY", " DIRECTOR", " RECEIVED_DONATION_FROM", " DONATED_BY", " LOCATION_IN\n\n Explanation:\n The text states that the", " LOCATION_IN\n\n Explanation:\n The text states that the", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n or\n The entities do not have a relation.\n", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " FUNDING.\n\n Entities: \n [{'head': ['2", " FUNDING", " SUPPORTS", " LOCATION_AT_TIME", " SUPPORTS", " DONATED_BY", " SUPPORTED_BY", " FUNDRAISER_OF", " SUPPORTS", " LOCATION_OF\n\n Explanation:\n The text states that the", " FUNDING.\n\n Explanation:\n The text states that the funds", " DONATED_BY", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n\n Explanation:\n The text states that the", " FUNDRAISED_BY", " FUNDRAISED_BY", " LOCATION_OF\n\n Explanation:\n The text states that the", " FUNDRAISER_FOR\n\n Entities: \n [{'head", " FUNDRAISER", " FUNDING\n\n Entities: \n [{'head': ['12", " FUNDING\n\n Explanation:\n The text states that Joni Wright", " SELF_REFERENCE", " DONATION", " DONATED_TO", " DONATION_ON_DATE", " DONATED_TO", " DONATED_BY", " FUNDRAISER", " DONATED_TO", " DONATED_TO", " FUNDRAISER", " FUNDING\n\n Explanation:\n The text states that the funds will", " DONATED_BY", " SUPPORTED_BY", " FUNDING\n\n Explanation:\n The text states that Joni Wright", " DONATED_TO", " ORGANIZATION_FOUNDING_EVENT\n\n Explanation:\n", " LOCATION_OF\n\n Explanation:\n Lance Perkins is", " MADE_DONATION_ON\n\n Entities: \n [{'", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATION", " DONATED_TO", " MADE_DONATION_ON\n\n Entities: \n [{'", " DONATED_BY", " SELF_RELATION\n\n Explanation:\n The text mentions", " VP_CONSTRUCTION\n\n Explanation:\n The text states that", " VP_OF\n\n Explanation:\n Lance Perkins is the", " DONATED_BY", " DONATED_TO", " SUPPORTS", " DONATED_TO", " DONATED_TO", " DONATED_TO", " ORGANIZATION_EMPLOYED_PERSON", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n Renie D’A", " DIED_ON\n\n Explanation:\n This text does not provide enough", " DIRECTOR", " DIRECTOR\n\n Entities: \n [{'head': ['12", " SELF", " DIRECTOR\n\n Explanation:\n Renie D’Aquila", " DONATION", " DONATED_TO", " RECEIVED_DONATION_ON.", " DONATED_TO", " DONATED_TO", " DIRECTOR_OF\n\n Explanation:\n Renie D’A", " DONOR", " DONATED_TO", " DIRECTOR", " BUILDS_IN.\n\n Explanation:\n Renie D’", " DIRECTOR\n\n Explanation:\n Renie D’Aquila", " DONATED_BY", " DIRECTOR\n\n Explanation:\n The text states that Renie D", " DONOR", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Explanation:\n Tanya Corbet is", " RECEIVED_DONATION_ON\n\n Entities: \n ", " DIRECTOR", " DIRECTOR\n\n Entities: \n [{'head': ['10", " DIRECTOR\n\n Entities: \n [{'head': ['17", " DIRECTOR\n\n Entities: \n [{'head': ['10", " DONATION", " DONATED_TO", " RECEIVED_MONEY_ON_DATE", " DONATED_TO", " DONATED_TO", " DONATED_BY", " DONATED_TO", " DONATED_TO", " DIRECTOR", " BUILDS_IN.\n\n Explanation:\n The text states that", " DIRECTOR\n\n Entities: \n [{'head': ['10", " DONATED_BY", " DIRECTOR\n\n Entities: \n [{'head': ['10", " DONOR", " ORGANIZATION_LOCATED_IN.", " LOCATION_OF\n\n Explanation:\n The text states that Mat", " DONATION\n\n Entities: \n [{'head': ['4',", " DONATED_TO", " DONATED_TO", " DONOR", " DONATED_TO", " DONATION", " DONATED_TO", " MADE_DONATION_ON\n\n Entities: \n [{'", " VP_OPERATIONS_OF", " VP_OPERATIONS_OF_VP_CONSTRUCTION", " VP_OPERATIONS", " SELF_REFERENCE", " VP_OPERATIONS_OF", " DONATED_TO", " FUNDS_FROM", " ORGANIZATION_EMPLOYED_PERSON", " ORGANIZATION_EMPLOYED_PERSON", " DONATED_TO", " DONATED_TO" ]

[ [ "0", "1", "GPE", "Delta" ], [ "2", "3", "GPE", "BC" ], [ "4", "8", "DATE", "September 2, 2015" ], [ "9", "11", "ORG", "Reach Foundation" ], [ "12", "14", "PERSON", "Tanya Corbet" ], [ "17", "19", "PERSON", "Renie D’Aquila" ], [ "22", "24", "PERSON", "Joni Wright" ], [ "30", "31", "MONEY", "20,000" ], [ "33", "36", "ORG", "Matcon Civil Constructors" ], [ "36", "37", "DATE", "today" ], [ "38", "39", "ORG", "Matcon" ], [ "54", "56", "PERSON", "Lance Perkins" ], [ "58", "59", "ORG", "Construction" ], [ "60", "62", "PERSON", "Adam Whitworth" ], [ "66", "67", "ORG", "Matcon" ], [ "86", "87", "ORG", "Reach" ], [ "94", "95", "GPE", "Ladner" ], [ "99", "101", "PERSON", "Joni Wright" ], [ "102", "104", "PERSON", "Lance Perkins" ], [ "105", "107", "PERSON", "Renie D’Aquila" ], [ "108", "110", "PERSON", "Tanya Corbet" ], [ "111", "113", "PERSON", "Adam Whitworth" ] ]

[ "Chartered Airline Business Crashes\nNick Cropper, Alastair Beveridge and Anne O’Keefe, partners at Zolfo Cooper, have been appointed joint administrators of Astraeus Ltd, a chartered airline business.\nThe Crawley-based company leases aircraft and crew to airlines and employs around 190 staff and approximately 80 contractors, most of whom have been made redundant.\nThe administrators say severe cash flow difficulties, combined with a lack of certainty on orders in the coming months, and the current economic climate, meant Astraeus had no viable prospect of continued trading. All aircraft have been grounded and will be returned and there is therefore no need to repatriate any passengers from overseas.\nCropper, partner at Zolfo Cooper, said: ‘The company has been left facing a number of insurmountable issues and unfortunately, we have been left with no alternative other than to cease trading immediately.’" ]

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[ [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "8", "10", "PERSON", "Alastair Beveridge" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "11", "13", "PERSON", "Anne O’Keefe" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "16", "18", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "25", "27", "ORG", "Astraeus Ltd" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "35", "36", "GPE", "Crawley" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "47", "49", "CARDINAL", "around 190" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "51", "53", "CARDINAL", "approximately 80" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "81", "84", "DATE", "the coming months" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "92", "93", "ORG", "Astraeus" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "124", "125", "PERSON", "Cropper" ] } ], [ { "head": [ "5", "7", "PERSON", "Nick Cropper" ], "tail": [ "128", "130", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "5", "7", "PERSON", "Nick Cropper" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "11", "13", "PERSON", "Anne O’Keefe" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "16", "18", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "25", "27", "ORG", "Astraeus Ltd" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "35", "36", "GPE", "Crawley" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "47", "49", "CARDINAL", "around 190" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "51", "53", "CARDINAL", "approximately 80" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "81", "84", "DATE", "the coming months" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "92", "93", "ORG", "Astraeus" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "124", "125", "PERSON", "Cropper" ] } ], [ { "head": [ "8", "10", "PERSON", "Alastair Beveridge" ], "tail": [ "128", "130", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "5", "7", "PERSON", "Nick Cropper" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "8", "10", "PERSON", "Alastair Beveridge" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "16", "18", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "25", "27", "ORG", "Astraeus Ltd" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "35", "36", "GPE", "Crawley" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "47", "49", "CARDINAL", "around 190" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "51", "53", "CARDINAL", "approximately 80" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "81", "84", "DATE", "the coming months" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "92", "93", "ORG", "Astraeus" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "124", "125", "PERSON", "Cropper" ] } ], [ { "head": [ "11", "13", "PERSON", "Anne O’Keefe" ], "tail": [ "128", "130", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "5", "7", "PERSON", "Nick Cropper" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "8", "10", "PERSON", "Alastair Beveridge" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "11", "13", "PERSON", "Anne O’Keefe" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "25", "27", "ORG", "Astraeus Ltd" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "35", "36", "GPE", "Crawley" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "47", "49", "CARDINAL", "around 190" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "51", "53", "CARDINAL", "approximately 80" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "81", "84", "DATE", "the coming months" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "92", "93", "ORG", "Astraeus" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "124", "125", "PERSON", "Cropper" ] } ], [ { "head": [ "16", "18", "ORG", "Zolfo Cooper" ], "tail": [ "128", "130", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "5", "7", "PERSON", "Nick Cropper" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "8", "10", "PERSON", "Alastair Beveridge" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "11", "13", "PERSON", "Anne O’Keefe" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "16", "18", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "35", "36", "GPE", "Crawley" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "47", "49", "CARDINAL", "around 190" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "51", "53", "CARDINAL", "approximately 80" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "81", "84", "DATE", "the coming months" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "92", "93", "ORG", "Astraeus" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "124", "125", "PERSON", "Cropper" ] } ], [ { "head": [ "25", "27", "ORG", "Astraeus Ltd" ], "tail": [ "128", "130", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "5", "7", "PERSON", "Nick Cropper" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "8", "10", "PERSON", "Alastair Beveridge" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "11", "13", "PERSON", "Anne O’Keefe" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "16", "18", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "25", "27", "ORG", "Astraeus Ltd" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "47", "49", "CARDINAL", "around 190" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "51", "53", "CARDINAL", "approximately 80" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "81", "84", "DATE", "the coming months" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "92", "93", "ORG", "Astraeus" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "124", "125", "PERSON", "Cropper" ] } ], [ { "head": [ "35", "36", "GPE", "Crawley" ], "tail": [ "128", "130", "ORG", "Zolfo Cooper" ] } ], [ { "head": [ "47", "49", 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"approximately 80" ] } ], [ { "head": [ "128", "130", "ORG", "Zolfo Cooper" ], "tail": [ "81", "84", "DATE", "the coming months" ] } ], [ { "head": [ "128", "130", "ORG", "Zolfo Cooper" ], "tail": [ "92", "93", "ORG", "Astraeus" ] } ], [ { "head": [ "128", "130", "ORG", "Zolfo Cooper" ], "tail": [ "124", "125", "PERSON", "Cropper" ] } ] ]

[ " PART_OF\n\n Explanation:\n Nick Cropper and Alast", " PARTNERS", " PART_OF", " ADMINISTRATOR", " BASED_IN", " EMPLOYED_BY", " EMPLOYED_BY", " UNCERTAINTY.", " ADMINISTRATOR", " PART_OF\n\n Explanation:\n Nick Cropper is a partner", " PART_OF", " PART_OF\n\n Explanation:\n Alastair Beveridge and Nick", " JOINT_ADMINISTRATORS", " PART_OF", " ADMINISTRATOR", " BASED_IN", " EMPLOYED_BY", " EMPLOYED_BY", " UNCERTAINTY.", " ADMINISTRATOR", " PART_OF\n\n Explanation:\n Alastair Beveridge and C", " PART_OF", " ADMINISTRATOR_OF", " ADMINISTRATOR_OF", " PART_OF", " APPointed_ADMINISTRATOR", " BASED_IN", " EMPLOYS", " EMPLOYED_BY", " UNCERTAINTY_ABOUT_FUTURE_ORDERS", " APPointed_ADMINISTRATOR", " PART_OF\n\n Explanation:\n Anne O’Keefe and C", " PART_OF", " PART_OF\n\n Explanation:\n Nick Cropper is a partner", " PART_OF\n\n Explanation:\n Alastair Beveridge is a", " PART_OF \n\n Explanation:\n Anne O'Keefe is", " ADMINISTRATOR", " BASED_IN", " EMPLOYS", " EMPLOYED_BY", " UNCERTAINTY. The uncertainty is from the Zolfo Cooper partners regarding the orders", " ADMINISTRATOR", " PART_OF\n\n Explanation:\n Zolfo Cooper is the organization", " PART_OF \n\n Explanation:\n Zolfo Cooper is the", " ADMINISTRATOR", " APPointed_ADMINISTRATOR", " APPointed_ADMINISTRATOR", " ADMINISTRATOR", " BASED_IN", " EMPLOYS", " EMPLOYS", " UNCERTAINTY_ABOUT_ORDERS", " SELF_REFERENCE", " ADMINISTRATOR", " ADMINISTRATOR", " PART_OF\n\n Explanation:\n The text states that Nick Crop", " APPONTED_ADMINISTRATOR", " PART_OF", " ADMINISTRATOR_OF", " BASED_IN", " EMPLOYS", " EMPLOYS", " UNCERTAINTY. The text states that the lack of certainty on orders in the", " BASED_IN", " PART_OF\n\n Explanation:\n The text states that 'Nick", " BASED_IN", " APPOINTED_ADMINISTRATOR", " APPOINTED_ADMINISTRATOR", " APPOINTED_ADMINISTRATOR", " APPOINTED_ADMINISTRATOR", " EMPLOYER_OF", " BASED_IN", " EMPLOYS", " APPOINTED_ADMINISTRATOR", " APPOINTED_ADMINISTRATOR", " APPOINTED_ADMINISTRATOR", " APPOINTED_AS_JOINT_ADMINISTRATOR", " PART_OF", " APPOINTED_ADMINISTRATOR", " EMPLOYED_BY", " BASED_IN", " EMPLOYED", " APPOINTED_ADMINISTRATOR", " APPOINTED_ADMINISTRATOR", " SPEAKS_FOR", " APPOINTED_BY", " APPointed_ADMINISTRATOR", " APPOINTED_BY", " UNCERTAINTY_ABOUT_FUTURE_ORDERS", " LOCATION_OF\n\n Explanation:\n The text states that A", " UNCERTAINTY_ABOUT_FUTURE_ORDERS", " SPEAKS_FOR.", " APPOINTED_ADMINISTRATOR", " ADMINISTRATOR", " APPONTED_ADMINISTRATOR", " APPointed_ADMINISTRATOR", " ADMINISTRATOR", " SAME_AS", " BASED_IN", " EMPLOYS", " EMPLOYS", " UNCERTAINTY_ABOUT_ORDERS", " PART_OF\n\n Explanation:\n Astraeus is the head", " ADMINISTRATOR", " ADMINISTRATOR_OF", " PART_OF\n\n Explanation:\n The text states that Nick Crop", " PART_OF\n\n Explanation:\n The text states that Nick Crop", " PART_OF", " ADMINISTRATOR", " BASED_IN", " EMPLOYS", " EMPLOYED_BY\n\n Explanation:\n The text states", " UNCERTAINTY. The uncertainty is about the orders in the coming months.", " ADMINISTRATOR", " PART_OF", " PART_OF\n\n Explanation:\n Nick Cropper is a partner", " PART_OF\n\n Explanation:\n Alastair Beveridge is a", " APPOINTED_ADMINISTRATOR", " PART_OF\n\n Explanation:\n Zolfo Cooper is a part", " ADMINISTRATOR", " BASED_IN.", " EMPLOYS", " EMPLOYED_BY", " UNCERTAINTY. The uncertainty is from Zolfo Cooper regarding the orders in the", " ADMINISTRATOR", " PART_OF\n\n Explanation:\n Zolfo Cooper is the organization" ]

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[ "Bryon is the director of practice solutions at Reed Smith. Bryon also serves as managing director of Gravity Stack, a legal data solutions company, and is an expert in legal technology. In this role, Bryon is responsible for introducing innovation and process efficiency into the overall delivery of legal solutions and works closely with corporate legal and AM Law firm stakeholders on a strategic and tactical level.\n- University of Oregon, B.S., Business Administration\n- Member of client advisory boards for multiple electronic discovery service providers\n- Recognized as a 2014 Legal Innovator of the Year by ALM – The Recorder, December 2014" ]

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Administration" ] } ], [ { "head": [ "39", "40", "PERSON", "Bryon" ], "tail": [ "101", "102", "DATE", "2014" ] } ], [ { "head": [ "39", "40", "PERSON", "Bryon" ], "tail": [ "105", "107", "DATE", "the Year" ] } ], [ { "head": [ "39", "40", "PERSON", "Bryon" ], "tail": [ "108", "109", "ORG", "ALM" ] } ], [ { "head": [ "39", "40", "PERSON", "Bryon" ], "tail": [ "113", "115", "DATE", "December 2014" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "0", "1", "PERSON", "Bryon" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "8", "10", "ORG", "Reed Smith" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "11", "12", "PERSON", "Bryon" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "18", "20", "ORG", "Gravity Stack" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "39", "40", "PERSON", "Bryon" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "79", "80", "GPE", "B.S." ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "81", "83", "ORG", "Business Administration" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "101", "102", "DATE", "2014" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "105", "107", "DATE", "the Year" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "108", "109", "ORG", "ALM" ] } ], [ { "head": [ "75", "78", "ORG", "University of Oregon" ], "tail": [ "113", "115", "DATE", "December 2014" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "0", "1", "PERSON", "Bryon" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "8", "10", "ORG", "Reed Smith" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "11", "12", "PERSON", "Bryon" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "18", "20", "ORG", "Gravity Stack" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "39", "40", "PERSON", "Bryon" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "75", "78", "ORG", "University of Oregon" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "81", "83", "ORG", "Business Administration" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "101", "102", "DATE", "2014" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "105", "107", "DATE", "the Year" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "108", "109", "ORG", "ALM" ] } ], [ { "head": [ "79", "80", "GPE", "B.S." ], "tail": [ "113", "115", "DATE", "December 2014" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "0", "1", "PERSON", "Bryon" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "8", "10", "ORG", "Reed Smith" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "11", "12", "PERSON", "Bryon" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "18", "20", "ORG", "Gravity Stack" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "39", "40", "PERSON", "Bryon" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "75", "78", "ORG", "University of Oregon" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "79", "80", "GPE", "B.S." ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "101", "102", "DATE", "2014" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "105", "107", "DATE", "the Year" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "108", "109", "ORG", "ALM" ] } ], [ { "head": [ "81", "83", "ORG", "Business Administration" ], "tail": [ "113", "115", "DATE", "December 2014" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "0", "1", "PERSON", "Bryon" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "8", "10", "ORG", "Reed Smith" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "11", "12", "PERSON", "Bryon" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "18", "20", "ORG", "Gravity Stack" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "39", "40", "PERSON", "Bryon" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "75", "78", "ORG", "University of Oregon" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "79", "80", "GPE", "B.S." ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "81", "83", "ORG", "Business Administration" ] } ], [ { "head": [ "101", "102", "DATE", "2014" ], "tail": [ "108", "109", "ORG", "ALM" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "0", "1", "PERSON", "Bryon" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "8", "10", "ORG", "Reed Smith" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "11", "12", "PERSON", "Bryon" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "18", "20", "ORG", "Gravity Stack" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "39", "40", "PERSON", "Bryon" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "75", "78", "ORG", "University of Oregon" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "79", "80", "GPE", "B.S." ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "81", "83", "ORG", "Business Administration" ] } ], [ { "head": [ "105", "107", "DATE", "the Year" ], "tail": [ "108", "109", "ORG", "ALM" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "0", "1", "PERSON", "Bryon" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "8", "10", "ORG", "Reed Smith" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "11", "12", "PERSON", "Bryon" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "18", "20", "ORG", "Gravity Stack" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "39", "40", "PERSON", "Bryon" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "75", "78", "ORG", "University of Oregon" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "79", "80", "GPE", "B.S." ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "81", "83", "ORG", "Business Administration" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "101", "102", "DATE", "2014" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "105", "107", "DATE", "the Year" ] } ], [ { "head": [ "108", "109", "ORG", "ALM" ], "tail": [ "113", "115", "DATE", "December 2014" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "0", "1", "PERSON", "Bryon" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "8", "10", "ORG", "Reed Smith" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "11", "12", "PERSON", "Bryon" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "18", "20", "ORG", "Gravity Stack" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "39", "40", "PERSON", "Bryon" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "75", "78", "ORG", "University of Oregon" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "79", "80", "GPE", "B.S." ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "81", "83", "ORG", "Business Administration" ] } ], [ { "head": [ "113", "115", "DATE", "December 2014" ], "tail": [ "108", "109", "ORG", "ALM" ] } ] ]

[ " DIRECTOR", " MANAGES_OR_OWNS.", " DIRECTOR", " NO_RELATION", " EDUCATION\n\n Explanation:\n The text states that Bryon", " EDUCATION", " EDUCATION", " RECOGNIZED_BY", " RECOGNIZED_IN_YEAR", " RECOGNIZED_BY", " RECOGNIZED_BY", " DIRECTOR", " DIRECTOR", " DIRECTED_BY", " DIRECTOR", " EDUCATION\n\n Explanation:\n The text states that Bryon", " EDUCATION", " EDUCATION", " RECOGNIZED_IN.", " RECOGNIZED_IN_YEAR", " RECOGNIZED_BY", " RECOGNIZED_BY", " SELF_REFERENCE", " DIRECTOR", " DIRECTOR", " SELF_RELATION\n\n Explanation:\n The text describes Bry", " EDUCATION", " EDUCATION", " EDUCATION", " RECOGNIZED_BY", " RECOGNIZED_IN_YEAR", " RECOGNIZED_BY", " RECOGNIZED_BY", " DIRECTOR", " DIRECTED_BY", " DIRECTOR", " DIRECTOR", " EDUCATION\n\n Explanation:\n The text states that Bryon", " NO_RELATION", " NO_RELATION.\n\n # The entities do not have a direct relation based on", " RECOGNIZED_IN.", " WORKED_FOR_YEARS_AGO", " RECOGNIZED_BY", " RECOGNIZED_BY", " SELF_REFERENCE", " DIRECTOR", " SELF_REFERENCE", " DIRECTOR", " EDUCATION", " EDUCATION", " EDUCATION", " RECOGNIZED_ON.", " RECOGNIZED_IN_YEAR", " RECOGNIZED_BY", " RECOGNIZED_BY", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION", " DEGREE_IN_MAJOR", " RECOGNIZED_AT.", " RECOGNIZED_AT", " RECOGNIZED_BY", " RECOGNIZED_BY", " EDUCATION", " DIRECTOR", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " RECOGNIZED_BY", " RECEIVED_DEGREE", " EDUCATION", " DIRECTOR", " EDUCATION", " HAS_AFFILIATION", " EDUCATION", " EDUCATION", " EDUCATION", " RECEIVED_AWARD", " RECOGNIZED_IN_YEAR", " RECOGNIZED_BY", " RECOGNIZED_BY", " RECOGNIZED_AS", " DIRECTOR", " RECOGNIZED_AS", " SERVES_AT. This relation indicates that the head entity is the person who serves in", " RECOGNIZED_AS", " EDUCATION", " EDUCATION", " EDUCATION", " RECOGNIZED_BY", " RECOGNIZED_AS", " DIRECTOR", " RECOGNIZED_BY", " SERVES_AT. This relation is used when the head is an individual who serves in", " RECOGNIZED_AS", " EDUCATION", " EDUCATION", " EDUCATION", " RECOGNIZED_BY", " RECOGNIZED_BY", " RECOGNIZED_BY", " RECOGNIZED_BY", " RECOGNIZED_BY", " RECOGNIZED_BY", " RECOGNIZED_AT\n\n Explanation:\n The text states", " EDUCATION", " RECOGNIZED_FROM", " RECOGNIZED_BY.", " RECOGNIZED_BY.", " RECOGNIZED_BY", " RECOGNIZED_AS", " RECOGNIZED_BY", " RECOGNIZED_AS", " RECOGNIZED_BY", " RECOGNIZED_AS", " EDUCATION", " EDUCATION", " RECOGNIZED_BY.", " RECOGNIZED_BY" ]

[ [ "0", "1", "PERSON", "Bryon" ], [ "8", "10", "ORG", "Reed Smith" ], [ "11", "12", "PERSON", "Bryon" ], [ "18", "20", "ORG", "Gravity Stack" ], [ "39", "40", "PERSON", "Bryon" ], [ "75", "78", "ORG", "University of Oregon" ], [ "79", "80", "GPE", "B.S." ], [ "81", "83", "ORG", "Business Administration" ], [ "101", "102", "DATE", "2014" ], [ "105", "107", "DATE", "the Year" ], [ "108", "109", "ORG", "ALM" ], [ "113", "115", "DATE", "December 2014" ] ]

[ "5 TIPS FOR FAST AND FOCUSED MEETINGS. NO MORE CROWDED ROOMS OR RAMBLING OPINIONS — MEETINGS CAN EASILY BE SPEEDY AND PRODUCTIVE WITH THESE FIVE TIPS.\nBy Sam Harrison\nIf you slowly feel your soul draining and your mind turning to mush right now–and if you’re reading this on your smartphone–there’s a very good chance you’re currently sitting in on a truly unproductive meeting.\nRather than getting bogged down in any more overcrowded and underproductive business meetings, try implementing these five tips, and start refining those daily tests of endurance.\nWhen too many people cram into a meeting room, solutions gravitate toward the lowest common denominator. As film director Darren Aronofsky puts it, “Ten men in a room trying to come up with their favorite ice cream are going to agree on vanilla.”" ]

[ [ "5", "TIPS", "FOR", "FAST", "AND", "FOCUSED", "MEETINGS", ".", "NO", "MORE", "CROWDED", "ROOMS", "OR", "RAMBLING", "OPINIONS", "—", "MEETINGS", "CAN", "EASILY", "BE", "SPEEDY", "AND", "PRODUCTIVE", "WITH", "THESE", "FIVE", "TIPS", ".", "\n", "By", "Sam", "Harrison", "\n", "If", "you", "slowly", "feel", "your", "soul", "draining", "and", "your", "mind", "turning", "to", "mush", "right", "now", "–", "and", "if", "you", "’re", "reading", "this", "on", "your", "smartphone", "–", "there", "’s", "a", "very", "good", "chance", "you", "’re", "currently", "sitting", "in", "on", "a", "truly", "unproductive", "meeting", ".", "\n", "Rather", "than", "getting", "bogged", "down", "in", "any", "more", "overcrowded", "and", "underproductive", "business", "meetings", ",", "try", "implementing", "these", "five", "tips", ",", "and", "start", "refining", "those", "daily", "tests", "of", "endurance", ".", "\n", "When", "too", "many", "people", "cram", "into", "a", "meeting", "room", ",", "solutions", "gravitate", "toward", "the", "lowest", "common", "denominator", ".", "As", "film", "director", "Darren", "Aronofsky", "puts", "it", ",", "“", "Ten", "men", "in", "a", "room", "trying", "to", "come", "up", "with", "their", "favorite", "ice", "cream", "are", "going", "to", "agree", "on", "vanilla", ".", "”" ] ]

[ [ { "head": [ "0", "1", "CARDINAL", "5" ], "tail": [ "30", "32", "PERSON", "Sam Harrison" ] } ], [ { "head": [ "0", "1", "CARDINAL", "5" ], "tail": [ "128", "130", "PERSON", "Darren Aronofsky" ] } ], [ { "head": [ "25", "26", "CARDINAL", "FIVE" ], "tail": [ "30", "32", "PERSON", "Sam Harrison" ] } ], [ { "head": [ "25", "26", "CARDINAL", "FIVE" ], "tail": [ "128", "130", "PERSON", "Darren Aronofsky" ] } ], [ { "head": [ "30", "32", "PERSON", "Sam Harrison" ], "tail": [ "0", "1", "CARDINAL", "5" ] } ], [ { "head": [ "30", "32", "PERSON", "Sam Harrison" ], "tail": [ "25", "26", "CARDINAL", "FIVE" ] } ], [ { "head": [ "30", "32", "PERSON", "Sam Harrison" ], "tail": [ "94", "95", "CARDINAL", "five" ] } ], [ { "head": [ "30", "32", "PERSON", "Sam Harrison" ], "tail": [ "101", "102", "DATE", "daily" ] } ], [ { "head": [ "30", "32", "PERSON", "Sam Harrison" ], "tail": [ "128", "130", "PERSON", "Darren Aronofsky" ] } ], [ { "head": [ "30", "32", "PERSON", "Sam Harrison" ], "tail": [ "134", "135", "CARDINAL", "Ten" ] } ], [ { "head": [ "94", "95", "CARDINAL", "five" ], "tail": [ "30", "32", "PERSON", "Sam Harrison" ] } ], [ { "head": [ "94", "95", "CARDINAL", "five" ], "tail": [ "128", "130", "PERSON", "Darren Aronofsky" ] } ], [ { "head": [ "101", "102", "DATE", "daily" ], "tail": [ "30", "32", "PERSON", "Sam Harrison" ] } ], [ { "head": [ "101", "102", "DATE", "daily" ], "tail": [ "128", "130", "PERSON", "Darren Aronofsky" ] } ], [ { "head": [ "128", "130", "PERSON", "Darren Aronofsky" ], "tail": [ "0", "1", "CARDINAL", "5" ] } ], [ { "head": [ "128", "130", "PERSON", "Darren Aronofsky" ], "tail": [ "25", "26", "CARDINAL", "FIVE" ] } ], [ { "head": [ "128", "130", "PERSON", "Darren Aronofsky" ], "tail": [ "30", "32", "PERSON", "Sam Harrison" ] } ], [ { "head": [ "128", "130", "PERSON", "Darren Aronofsky" ], "tail": [ "94", "95", "CARDINAL", "five" ] } ], [ { "head": [ "128", "130", "PERSON", "Darren Aronofsky" ], "tail": [ "101", "102", "DATE", "daily" ] } ], [ { "head": [ "128", "130", "PERSON", "Darren Aronofsky" ], "tail": [ "134", "135", "CARDINAL", "Ten" ] } ], [ { "head": [ "134", "135", "CARDINAL", "Ten" ], "tail": [ "30", "32", "PERSON", "Sam Harrison" ] } ], [ { "head": [ "134", "135", "CARDINAL", "Ten" ], "tail": [ "128", "130", "PERSON", "Darren Aronofsky" ] } ] ]

[ " AUTHOR_OF", " SPEAKS_ABOUT", " AUTHOR_OF", " SPEAKS_ABOUT", " WRITTEN_BY", " WRITTEN_BY", " WRITER_OF\n\n Explanation:\n The text mentions that Sam", " WRITE_ARTICLE", " QUOTED_BY", " WRITER_OF\n OR\n AUTHOR_OF\n OR\n W", " AUTHOR_OF", " SPEAKS_ABOUT", " WRITTEN_BY", " SPEAKS_ABOUT", " SAYS_ABOUT", " SAYS_ABOUT", " SPEAKS_AT\n\n Explanation:\n The text mentions that", " SPOKE_ON_TOPIC", " SPOKE_ON\n\n Explanation:\n In the context of the", " SPOKE_ABOUT", " WRITTEN_BY", " AGREE_ON" ]

[ [ "0", "1", "CARDINAL", "5" ], [ "25", "26", "CARDINAL", "FIVE" ], [ "30", "32", "PERSON", "Sam Harrison" ], [ "94", "95", "CARDINAL", "five" ], [ "101", "102", "DATE", "daily" ], [ "128", "130", "PERSON", "Darren Aronofsky" ], [ "134", "135", "CARDINAL", "Ten" ] ]

[ "Maker Monday is an in-person craft program for adults every 2nd and 4th Monday. Come learn something new, share with others, seek crafting advice, and meet other makers. Materials are provided free of charge. Ages 14 and up welcome.\nLearn basic tap dance steps that any tap enthusiast can do. Participants do not need tap shoes but hard sole shoes are recommended. This program will provide participants rhythm, coordination, and mental fitness and fun!\nTaught by – Cenia Bowen" ]

[ [ "Maker", "Monday", "is", "an", "in", "-", "person", "craft", "program", "for", "adults", "every", "2nd", "and", "4th", "Monday", ".", "Come", "learn", "something", "new", ",", "share", "with", "others", ",", "seek", "crafting", "advice", ",", "and", "meet", "other", "makers", ".", "Materials", "are", "provided", "free", "of", "charge", ".", "Ages", "14", "and", "up", "welcome", ".", "\n", "Learn", "basic", "tap", "dance", "steps", "that", "any", "tap", "enthusiast", "can", "do", ".", "Participants", "do", "not", "need", "tap", "shoes", "but", "hard", "sole", "shoes", "are", "recommended", ".", "This", "program", "will", "provide", "participants", "rhythm", ",", "coordination", ",", "and", "mental", "fitness", "and", "fun", "!", "\n", "Taught", "by", "–", "Cenia", "Bowen" ] ]

[ [ { "head": [ "1", "2", "DATE", "Monday" ], "tail": [ "93", "95", "PERSON", "Cenia Bowen" ] } ], [ { "head": [ "14", "15", "ORDINAL", "4th" ], "tail": [ "93", "95", "PERSON", "Cenia Bowen" ] } ], [ { "head": [ "43", "46", "DATE", "14 and up" ], "tail": [ "93", "95", "PERSON", "Cenia Bowen" ] } ], [ { "head": [ "93", "95", "PERSON", "Cenia Bowen" ], "tail": [ "1", "2", "DATE", "Monday" ] } ], [ { "head": [ "93", "95", "PERSON", "Cenia Bowen" ], "tail": [ "14", "15", "ORDINAL", "4th" ] } ], [ { "head": [ "93", "95", "PERSON", "Cenia Bowen" ], "tail": [ "43", "46", "DATE", "14 and up" ] } ] ]

[ " TEACHES", " TEACHER", " TEACHES", " TEACHES", " TEACHES", " TEACHER_OF" ]

[ [ "1", "2", "DATE", "Monday" ], [ "14", "15", "ORDINAL", "4th" ], [ "43", "46", "DATE", "14 and up" ], [ "93", "95", "PERSON", "Cenia Bowen" ] ]

[ "Businesses should seek to modernize legacy systems regularly to better serve their customers. .\nAbout Mike Watson\nMike Watson is senior vice president of agile product engineering at Excellarate. He is a veteran engineer with over 15 years of software leadership experience and excels at driving software programs, teams, and processes tailored to people, technology, and business goals. He has managed and led diverse software teams at Motorola, Tangoe, Synerzip, and many others and earned his computer science degree from Washington State University." ]

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[ " SELF.", " SENIOR_VP\n or\n WORKS_FOR\n or", " HAS_EXPERIENCE_OF_DURATION\n\n Explanation", " 'WORKED_FOR'", " 'WORKED_FOR'", " 'LED'", " EDUCATED_AT", " SELF_REFERENCE", " SENIOR_VP\n or\n WORKS_AT\n or", " HAS_EXPERIENCE_OF_DURATION\n\n Explanation", " 'WORKED_FOR'", " 'WORKED_FOR'", " 'LED'", " EDUCATED_AT", " SENIOR_VP\n or\n HEAD_OF\n or\n", " SENIOR_VP\n or\n LEADS\n or\n ", " HAS_EXPERIENCE_WITH\n OR\n WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " PREVIOUS_EMPLOYER", " EDUCATED_AT", " HAS_EXPERIENCE_OF_DURATION", " HAS_EXPERIENCE_OF_DURATION", " SENIOR_VP\n or\n WORKED_FOR\n or", " HAS_WORKED_FOR", " HAS_WORKED_FOR", " HAS_WORKED_FOR", " EDUCATION", " MANAGED_BY", " MANAGED_BY", " WORKED_FOR", " HAS_WORKED_FOR\n OR\n WORKED_FOR_LENGTH", " WORKED_FOR", " PAST_EMPLOYER", " EDUCATED_AT", " MANAGED_BY", " MANAGED_BY", " WORKED_FOR", " HAS_EXPERIENCE_WITH\n OR\n WORKED_AT", " PREVIOUS_EMPLOYER", " WORKED_FOR", " EDUCATED_AT", " MANAGED_BY", " MANAGED_BY", " WORKED_FOR", " HAS_EXPERIENCE_WITH\n OR:\n WORKED_", " PREVIOUS_EMPLOYER", " HEAD_OF\n\n Explanation:\n The text mentions that Mike", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text mentions that Mike", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT" ]

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[ "Several of my colleagues have also posted to their blogs some thoughts about the Bus Tour. You’ll see from the blog titles that we were an eclectic group. I like eclectic groups.\n- Anna Beeber, an assistant professor in the School of Nursing\n- Miriam H. Labbok’s blog on “infant feeding and the mother/baby dyad.”\nAlso not to be missed is the blog of my journalism colleague Jock Lauterer, who does his own tour every summer of the state’s community newspapers. He’s on the road now." ]

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[ " COLLABORATOR", " AN_EMPLOYEE_OF", " WROTE_ABOUT", " COLLEAGUE", " PARTICIPANT_IN", " ASSOC_WITH", " COLLABORATOR", " COLLEAGUE", " ANNUALLY_COLLOCATED_WITH", " ASSOC_WITH", " ASSOC_WITH", " ASSOCIATED_WITH", " COLLEAGUE", " ORG_HAS_EVENT", " WROTE_ABOUT", " COLLEAGUE", " ASSOCIATED_WITH", " COLLEAGUE", " WRITES_REGULARLY", " JOURNALIST_OF\n\n Explanation:\n The text states that", " COLLEAGUE", " COLLEAGUE_OF", " COLLABORATOR", " TOURS_EVERY_SUMMER", " ASSOC_WITH", " AN_EMPLOYEE_OF", " WRITES_ABOUT", " TOURS_EVERY_SUMMER" ]

[ [ "13", "16", "EVENT", "the Bus Tour" ], [ "38", "40", "PERSON", "Anna Beeber" ], [ "45", "49", "ORG", "the School of Nursing" ], [ "51", "55", "PERSON", "Miriam H. Labbok’s" ], [ "81", "83", "PERSON", "Jock Lauterer" ], [ "89", "91", "DATE", "every summer" ] ]

[ "How Can It Be? - Part 4, How Can It Be That Our Savior Is So Hated?\nMiles McPherson - December 24, 2023\nThe Christmas story is full of miracles, causing us to ask ourselves, “How Can it Be?” In Part 4, Pastor Miles explores the reasons why many people reject Jesus, despite Him being our compassionate savior who offers eternal hope.\nNo discussion questions available\nOther Ways to Watch\nExperience the Sunday Message on these platforms\nGet the messages every week on your phone or computer\nSubscribe to our YouTube channel for the Sunday message videos and other videos from the Rock Church" ]

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"30", "31", "DATE", "Christmas" ] } ], [ { "head": [ "63", "64", "PERSON", "Jesus" ], "tail": [ "52", "53", "CARDINAL", "4" ] } ], [ { "head": [ "63", "64", "PERSON", "Jesus" ], "tail": [ "55", "56", "PERSON", "Miles" ] } ], [ { "head": [ "63", "64", "PERSON", "Jesus" ], "tail": [ "89", "90", "DATE", "Sunday" ] } ], [ { "head": [ "63", "64", "PERSON", "Jesus" ], "tail": [ "98", "100", "DATE", "every week" ] } ], [ { "head": [ "63", "64", "PERSON", "Jesus" ], "tail": [ "113", "114", "DATE", "Sunday" ] } ], [ { "head": [ "63", "64", "PERSON", "Jesus" ], "tail": [ "120", "123", "ORG", "the Rock Church" ] } ], [ { "head": [ "89", "90", "DATE", "Sunday" ], "tail": [ "21", "23", "PERSON", "Miles McPherson" ] } ], [ { "head": [ "89", "90", "DATE", "Sunday" ], "tail": [ "55", "56", "PERSON", "Miles" ] } ], [ { "head": [ "89", "90", "DATE", "Sunday" ], "tail": [ "63", "64", "PERSON", "Jesus" ] } ], [ { "head": [ "89", "90", "DATE", "Sunday" ], "tail": [ "120", "123", "ORG", "the Rock Church" ] } ], [ { "head": [ "98", "100", "DATE", "every week" ], "tail": [ "21", "23", "PERSON", "Miles McPherson" ] } ], [ { "head": [ "98", "100", "DATE", "every week" ], "tail": [ "55", "56", "PERSON", "Miles" ] } ], [ { "head": [ "98", "100", "DATE", "every week" ], "tail": [ "63", "64", "PERSON", "Jesus" ] } ], [ { "head": [ "98", "100", "DATE", "every week" ], "tail": [ "120", "123", "ORG", "the Rock Church" ] } ], [ { "head": [ "113", "114", "DATE", "Sunday" ], "tail": [ "21", "23", "PERSON", "Miles McPherson" ] } ], [ { "head": [ "113", "114", "DATE", "Sunday" ], "tail": [ "55", "56", "PERSON", "Miles" ] } ], [ { "head": [ "113", "114", "DATE", "Sunday" ], "tail": [ "63", "64", "PERSON", "Jesus" ] } ], [ { "head": [ "113", "114", "DATE", "Sunday" ], "tail": [ "120", "123", "ORG", "the Rock Church" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "7", "8", "CARDINAL", "4" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "21", "23", "PERSON", "Miles McPherson" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "24", "28", "DATE", "December 24, 2023" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "30", "31", "DATE", "Christmas" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "52", "53", "CARDINAL", "4" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "55", "56", "PERSON", "Miles" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "63", "64", "PERSON", "Jesus" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "89", "90", "DATE", "Sunday" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "98", "100", "DATE", "every week" ] } ], [ { "head": [ "120", "123", "ORG", "the Rock Church" ], "tail": [ "113", "114", "DATE", "Sunday" ] } ] ]

[ " SPEAKER", " SPEAKER", " SAVIOR_OF\n\n Explanation:\n The text mentions", " SUBSCRIBE_TO\n or\n PROVIDES_VIDEO_CONTENT", " NO_RELATION", " SPEAKS_ON\n\n Explanation:\n In the context, Miles", " EXPLORES_THEME_OF", " NO_RELATION", " SELF_REFERENCE", " EXPLAINS \n\n Confidence: \n 1.0", " SPEAKS_ON\n\n Explanation:\n Miles McPherson speaks", " WEEKLY_EVENTS", " SPEAKS_ON\n\n Explanation:\n Miles McPherson speaks", " PRESENTS_AT\n or\n SPEAKS_AT\n\n ", " SPEAKER", " SPEAKER", " IS_DISCUSSED_ABOUT", " PROVIDES_LOCATION", " SPEAKER", " SPEAKER", " THEME_OF\n\n Explanation:\n The text discusses the theme", " ASSOCIATED_WITH", " SPEAKER", " SPEAKER", " SAVIOR_OF\n\n Explanation:\n The text mentions", " SUBJECT_OF\n\n Explanation:\n The text mentions 'the", " SPEAKS_AT\n\n Explanation:\n The text mentions that", " SELF_REFERENCE", " SPEAKS_ON\n\n Entities: \n [{'head': ['", " OCCURS_ON", " SPEAKS_AT\n\n Explanation:\n In the text, \"", " SPOKE_ABOUT", " PREACHES_ON\n\n Explanation:\n In the context,", " WEEKLY_EVENTS", " PREACHES_ON", " ASSOCIATED_WITH", " IS_OFFERED_BY", " SPEAKER", " OCCURRED_ON", " SAVIOR_OF\n Or\n OFFERS_HOPE_AT\n", " IS_OFFERED_BY", " SPEAKER", " OFFERS\n\n Explanation:\n The text mentions that \"Jes", " OFFERED_BY", " OFFERS\n\n Explanation:\n The text mentions that \"Jes", " OFFERS_SERVICE_TO\n\n Explanation:\n In the context,", " SPEAKER", " SPEAKER", " SPOKE_ABOUT", " PROVIDES_LOCATION", " BROADCASTS_AT\n or\n PRESENTS\n or", " PROVIDES_CONTENT_TO", " OFFERS\n\n Explanation:\n The text mentions that 'Jes", " PROVIDES_CONTENT_TO", " SPEAKER", " SPEAKER", " SPOKE_ABOUT", " PROVIDES_LOCATION", " SUBSCRIBE_TO\n\n Explanation:\n The text ment", " PASTOR_OF", " 'BELONGS_TO'", " HOSTED_BY", " SUBSCRIBE_TO\n or\n CHANNEL_OF\n ", " PASTOR_OF", " CHURCH_AFFILIATED_WITH\n ORGANIZATION_", " PROVIDES_CONTENT_FOR\n ORGANIZATION PROVIDES_CONTENT", " PROVIDES_CONTENT_FREQUENCY", " PROVIDES_CONTENT_FOR" ]

[ [ "7", "8", "CARDINAL", "4" ], [ "21", "23", "PERSON", "Miles McPherson" ], [ "24", "28", "DATE", "December 24, 2023" ], [ "30", "31", "DATE", "Christmas" ], [ "52", "53", "CARDINAL", "4" ], [ "55", "56", "PERSON", "Miles" ], [ "63", "64", "PERSON", "Jesus" ], [ "89", "90", "DATE", "Sunday" ], [ "98", "100", "DATE", "every week" ], [ "113", "114", "DATE", "Sunday" ], [ "120", "123", "ORG", "the Rock Church" ] ]

[ "What is MVID?\nMicrovillus Inclusion Disease (MVID) has many names and can be referred to as MID, congenital microvillus atrophy, Davidson’s disease or familial protracted diarrhea. It is a rare life-threatening intestinal disease that affects newborns. The intestine of the affected individual secretes more fluid than it can handle causing a life-threatening amount of diarrhea.\nIt is mostly found in the Middle East countries such as Turkey and Saudi Arabia. However, it has also been found in the Navajo Nation of the United State of America, with the highest recorded incidence of 1 in 12,000 live births.\nMVID is an autosomal recessive disease; this means that the disease is not linked to sex chromosomes and both parents must be carriers of the mutated myosin VB (MYO5B) gene in order for their child to inherit it." ]

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Arabia" ] } ], [ { "head": [ "76", "78", "LOC", "Middle East" ], "tail": [ "94", "97", "GPE", "the Navajo Nation" ] } ], [ { "head": [ "76", "78", "LOC", "Middle East" ], "tail": [ "98", "103", "GPE", "the United State of America" ] } ], [ { "head": [ "76", "78", "LOC", "Middle East" ], "tail": [ "110", "111", "CARDINAL", "1" ] } ], [ { "head": [ "76", "78", "LOC", "Middle East" ], "tail": [ "112", "113", "CARDINAL", "12,000" ] } ], [ { "head": [ "81", "82", "GPE", "Turkey" ], "tail": [ "26", "27", "PERSON", "Davidson" ] } ], [ { "head": [ "81", "82", "GPE", "Turkey" ], "tail": [ "76", "78", "LOC", "Middle East" ] } ], [ { "head": [ "81", "82", "GPE", "Turkey" ], "tail": [ "83", "85", "GPE", "Saudi Arabia" ] } ], [ { "head": [ "81", "82", "GPE", "Turkey" ], "tail": [ "94", "97", "GPE", "the Navajo Nation" ] } ], [ { "head": [ "81", "82", "GPE", "Turkey" ], "tail": [ "98", "103", "GPE", "the United State of America" ] } ], [ { "head": [ "81", "82", "GPE", "Turkey" ], "tail": [ "110", 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United State of America" ], "tail": [ "83", "85", "GPE", "Saudi Arabia" ] } ], [ { "head": [ "98", "103", "GPE", "the United State of America" ], "tail": [ "94", "97", "GPE", "the Navajo Nation" ] } ], [ { "head": [ "98", "103", "GPE", "the United State of America" ], "tail": [ "110", "111", "CARDINAL", "1" ] } ], [ { "head": [ "98", "103", "GPE", "the United State of America" ], "tail": [ "112", "113", "CARDINAL", "12,000" ] } ], [ { "head": [ "110", "111", "CARDINAL", "1" ], "tail": [ "26", "27", "PERSON", "Davidson" ] } ], [ { "head": [ "110", "111", "CARDINAL", "1" ], "tail": [ "76", "78", "LOC", "Middle East" ] } ], [ { "head": [ "110", "111", "CARDINAL", "1" ], "tail": [ "81", "82", "GPE", "Turkey" ] } ], [ { "head": [ "110", "111", "CARDINAL", "1" ], "tail": [ "83", "85", "GPE", "Saudi Arabia" ] } ], [ { "head": [ "110", "111", "CARDINAL", "1" ], "tail": [ "94", "97", "GPE", "the Navajo Nation" ] } ], [ { "head": [ "110", "111", "CARDINAL", "1" ], "tail": [ "98", "103", "GPE", "the United State of America" ] } ], [ { "head": [ "112", "113", "CARDINAL", "12,000" ], "tail": [ "26", "27", "PERSON", "Davidson" ] } ], [ { "head": [ "112", "113", "CARDINAL", "12,000" ], "tail": [ "76", "78", "LOC", "Middle East" ] } ], [ { "head": [ "112", "113", "CARDINAL", "12,000" ], "tail": [ "81", "82", "GPE", "Turkey" ] } ], [ { "head": [ "112", "113", "CARDINAL", "12,000" ], "tail": [ "83", "85", "GPE", "Saudi Arabia" ] } ], [ { "head": [ "112", "113", "CARDINAL", "12,000" ], "tail": [ "94", "97", "GPE", "the Navajo Nation" ] } ], [ { "head": [ "112", "113", "CARDINAL", "12,000" ], "tail": [ "98", "103", "GPE", "the United State of America" ] } ] ]

[ " ORIGIN_IN\n\n Explanation:\n The text states that \"", " ORIGIN_IN\n\n Explanation:\n The text states that \"", " ORIGIN_IN\n\n Explanation:\n The text states that \"", " HAS_HIGHEST_RECORDED_INCIDENCE", " The disease, Davidson's disease, is found in the United States.", " The disease can be referred to as Davidson's disease.", " HAS_INCIDENCE", " ORIGIN_FROM", " ORIGIN_IN\n\n Explanation:\n The text states that \"", " ORIGIN_IN\n\n Explanation:\n The text states that M", " FOUND_IN", " FOUND_IN", " LOCATION_OF\n OR\n LOCATION_HAS_HIGHE", " HAS_INCIDENCE_OF", " ORIGIN_IN\n\n Explanation:\n The text mentions that", " LOCATION_IN.", " FOUND_IN", " FOUND_IN", " FOUND_IN", " 'LOCATION_OF_ORIGIN'", " HAS_INCIDENCE", " ORIGIN_IN.", " LOCATION_IN\n\n Explanation:\n The text states that \"", " FOUND_IN.", " FOUND_IN", " FOUND_IN.", " FOUND_IN", " HAS_INCIDENCE", " HIGHEST_RECORDED_INCIDENCE_IN", " FOUND_IN", " FOUND_IN.", " FOUND_IN.", " LOCATION_IN\n\n Explanation:\n The text states that the", " HIGHEST_RECORDED_INCIDENCE", " HAS_INCIDENCE", " The United State of America is the location of the highest recorded incidence of Davidson's", " FOUND_IN", " FOUND_IN.", " FOUND_IN.", " FOUND_IN", " The United State of America has a recorded incidence of 1.", " HAS_INCIDENCE", " CAN_BE_REFERRED_TO_AS", " ORIGIN_IN\n\n Explanation:\n The text states that M", " ORIGIN_IN\n\n Explanation:\n The text states that \"", " FOUND_IN", " HIGHEST_RECORDED_INCIDENCE_IN", " HAS_HIGHEST_RECORDED_INCIDENCE", " HIGHEST_RECORDED_INCIDENCE", " HAS_HIGHEST_RECORDED_INCIDENCE", " HAS_HIGHEST_RECORDED_INCIDENCE", " HAS_HIGHEST_RECORDED_INCIDENCE", " HAS_HIGHEST_RECORDED_INCIDENCE", " HIGHEST_RECORDED_INCIDENCE_IN" ]

[ [ "26", "27", "PERSON", "Davidson" ], [ "76", "78", "LOC", "Middle East" ], [ "81", "82", "GPE", "Turkey" ], [ "83", "85", "GPE", "Saudi Arabia" ], [ "94", "97", "GPE", "the Navajo Nation" ], [ "98", "103", "GPE", "the United State of America" ], [ "110", "111", "CARDINAL", "1" ], [ "112", "113", "CARDINAL", "12,000" ] ]

[ "Maana uses its proprietary In-Situ Resource Utilisation (ISRU) technologies developed for the space industry to revolutionise the way in which solar panels are produced, on Earth and in space. Maana is committed to the large scale reduction of greenhouse gasses, saving the Earth for future generations, whilst simultaneously advancing humanity towards becoming a space faring civilisation.\nMeet the team\n- CEO: Joost van Oorschot\nSign up to our mailing list or submit your own interview.\nWe provide interviews with companies and start-ups from all corners of the world, for free. We want to shed light on this exciting industry and provide you with accurate and new information to keep you up to date!" ]

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[ "Roman Reigns vs Sami Zayn seemingly “as confirmed as it can be” for Elimination Chamber after betraying Tribal chief to save Kevin Owens at Royal Rumble\nJake Paul makes satirical apology for leaking Tommy Fury, Molly Mae Hague’s first baby announcement by “not reveling anyone the gender”\n“I will be champion in one year or less” Raul Rosas Jr determined to become the youngest UFC champ after becoming youngest fighter to win a fight vs Jay Perrin\n‘The sendoff was inappropriate’ Ex-UFC star Chael Sonnen expresses concern over Khabib Nurmagomedov’s legacy being lost in history\nThere are currently no new stories to display !" ]

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"106", "PERSON", "Khabib Nurmagomedov’s" ], "tail": [ "61", "65", "DATE", "one year or less" ] } ], [ { "head": [ "103", "106", "PERSON", "Khabib Nurmagomedov’s" ], "tail": [ "66", "69", "PERSON", "Raul Rosas Jr" ] } ], [ { "head": [ "103", "106", "PERSON", "Khabib Nurmagomedov’s" ], "tail": [ "74", "75", "ORG", "UFC" ] } ], [ { "head": [ "103", "106", "PERSON", "Khabib Nurmagomedov’s" ], "tail": [ "85", "87", "PERSON", "Jay Perrin" ] } ], [ { "head": [ "103", "106", "PERSON", "Khabib Nurmagomedov’s" ], "tail": [ "96", "97", "ORG", "UFC" ] } ], [ { "head": [ "103", "106", "PERSON", "Khabib Nurmagomedov’s" ], "tail": [ "98", "100", "PERSON", "Chael Sonnen" ] } ] ]

[ " OPPOSED_BY", " CONFIRMED_FOR", " BETRAYED", " PARTICIPANT_IN", " SEEMINGLY_CONFIRMS", " BETrayed\n\n Explanation:\n The text mentions that Roman Re", " BET_ON\n\n Explanation:\n The text mentions that Roman", " CONFIRMED_FOR\n\n Explanation:\n The text states that", " FUTURE_PLANS", " NO_RELATION", " AS_OF_OR_BEFORE\n or\n ATHLETE_OF\n", " FIGHTED", " AS_OF_OR_BEFORE\n or\n ATHLETE_OF\n", " EXPRESSES_CONCERN", " NO_RELATION", " OPPOSING_TEAM_MEMBERS", " PARTICIPANT_IN", " BETRAYED", " BETRAYED\n\n Explanation:\n The text states that Sami", " BETRAYED", " BETRAYED", " BET_AGAINST", " BET_AGAINST", " TIMELINE_FUTURE", " NO_RELATION", " MEMBER_OF", " FIGHTED", " MEMBER_OF", " EXPRESSES_CONCERN", " CONCERNED_ABOUT_LEGACY", " CONFIRMED_FOR\n\n [{'head': ['0', '1',", " CONFIRMED_FOR\n\n Explanation:\n The text states that", " BETRAYED", " PRECEDES", " NO_RELATION", " CONFIRMED_FOR\n\n Explanation:\n The text states that", " CONTEXT_MENTIONED_IN.", " CONFIRMED_FOR", " TIMELINE_FUTURE", " NO_RELATION", " DIFFERENT_ORGANIZATIONS", " FIGHTED", " DIFFERENT_ORGANIZATIONS", " EXPRESSES_CONCERN", " CONCERNED_ABOUT_LEGACY", " BETRAYED", " BETRAYED", " CONFIRMED_FOR.", " BET_ON\n\n Explanation:\n The text states that Kevin O", " SAVED_BY", " SAVED_BY", " SAVED_BY", " SAVED_BY", " TIMELINE_FUTURE", " SAVED_BY", " FIGHTED_FOR\n\n Explanation:\n The text mentions that", " FIGHTED", " FIGHTED_FOR\n\n Explanation:\n The text mentions that", " EXPRESSES_CONCERN", " NO_RELATION", " BETRAYED", " BETRAYED", " CONFIRMS_EVENT", " BETRAYED", " BET_AGAINST", " BETRAYED", " BET_ON\n\n Explanation:\n The text mentions that Molly", " SAVED_BY\n\n Explanation:\n The text mentions that", " BELONGS_TO", " FIGHTED", " PREDICTED: BELONGS_TO\n # This relation is not", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " NO_RELATION", " SEEM_TO_CONFRIM_OPPONENT_FOR_MATCH", " NO_RELATION", " SAVED_BY", " HAPPENED_AT", " NO_RELATION", " NO_RELATION", " LEAKED_INFORMATION", " TIMEX_TO_TIMESTAMP: {'31': '2023-", " NO_RELATION", " ASPIRATIONAL_GOAL\n\n Explanation:\n Jake Paul", " FIGHTED", " ASPIRATIONAL_GOAL\n\n Explanation:\n Jake Paul", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " BETRAYED", " BETRAYED", " CONFIRMED_FOR", " BETRAYED", " BET_ON\n\n Explanation:\n The text mentions that Tommy", " BETrayed\n\n Or, if no relation:\n NO_RELATION", " PARENT_OF", " CHILD_OF\n\n Explanation:\n The text mentions that Tommy", " TIMELINE_FUTURE", " NO_RELATION", " MEMBER_OF", " FIGHTED", " MEMBER_OF", " EXPRESSES_CONCERN", " LEGACY_CONCERN", " NO_RELATION", " BETRAYED", " CONFIRMED_FOR. This relation indicates that the head entity is confirmed to participate in", " SAVED_BY", " HAPPENED_AT", " LEAKED_INFO", " PARENT_OF", " CHILD_OF\n\n Explanation:\n The text mentions that Molly", " TIMELINE_FUTURE", " NO_RELATION", " MEMBER_OF", " FIGHTED", " MEMBER_OF", " EXPRESSES_CONCERN", " LEGACY_CONCERN", " CONFIRMED_OPPONENT", " CONFIRMED_OPPONENT", " CONFIRMED_FOR.", " SAVED_BY", " LEAKED_INFO", " ANNOUNCED_FIRST_OF\n\n Explanation:\n ", " SUBJECT_OF\n\n Explanation:\n The text mentions that Molly", " YOUNGER_THAN", " DESCENDANT_OF\n\n Explanation:\n The text mentions", " WON_AGAINST", " DESCENDANT_OF\n\n Explanation:\n The text mentions", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " FUTURE_CHAMPION_OF", " CHALLENGE_AGAINST", " CHAMPIONSHIP_EVENT_IN_YEAR", " SUPPORTS", " TIMELINE_FUTURE", " TIMELINE_FUTURE", " TIMELINE_FUTURE_EVENT_FOR_ENTITY", " TIMELINE_FUTURE", " BECOME_CHAMPION_OF", " FUTURE_FIGHT_OPPONENT", " BECOME_CHAMPION_OF", " EXPRESSES_CONCERN", " LESS_THAN_OR_EQUAL_TO_LEGACY_OF_", " NO_RELATION", " SEEMS_TO_BEAT\n\n Explanation:\n The text", " PARTICIPANT_IN", " SAVED_BY", " BECAME_FAMOUS_AT", " COMPETES_WITH", " NO_RELATION", " NO_RELATION", " YOUNGEST_OF.", " TIMEX2_BEFORE", " ASPIRATIONAL_ROLE", " FIGHTED", " ASPIRATIONAL_ROLE\n\n Explanation:\n Raul", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " ORGANIZES\n\n Explanation:\n The text mentions that", " FOUGHT", " HOST_EVENT", " BETRAYED", " BELONGS_TO", " NO_RELATION", " FIGHTED", " SUBJECT_OF\n\n Explanation:\n The text mentions that Molly", " YOUNGEST_FIGHTER_OF_UFC", " FUTURE_PLANS", " MEMBER_OF", " FIGHTED", " BELONGS_TO", " EXPRESSES_CONCERN", " LEGACY_OF.", " FIGHTED", " FOUGHT", " LOST_FIGHT_AT", " FIGHTED", " FIGHTED_AT", " FIGHTED", " FIGHTED", " fought", " BEFORE", " BECOMES_CHAMPION_IN. (Note: The 'in' is", " FIGHTED", " FIGHTED", " FIGHTED", " FOUGHT", " FIGHTED", " MEMBER_OF", " FIGHTER_OF\n\n Explanation:\n The text mentions that", " HOST_EVENT", " BETRAYED", " BELONGS_TO", " NO_RELATION", " FIGHTED\n\n Explanation:\n The text mentions that Tommy F", " SUBJECT_OF\n\n Explanation:\n The text mentions that Molly", " YOUNGEST_FIGHTER_OF_UFC", " FUTURE_PLANS", " MEMBER_OF", " FIGHTS_IN_ORG", " FIGHTED", " EXPRESSES_CONCERN", " LEGACY_OF.", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " EXPRESSED_CONCERN_FOR", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN_FOR", " INT_BEFORE", " EXPRESSES_CONCERN", " EXPRESSES_CONCERN_FOR\n Or, if no relation exists", " FIGHTED", " EX-MEMBER_OF", " EXPRESSES_CONCERN", " NO_RELATION", " CONCERNED_ABOUT_LEGACY", " LEGACY_CONCERN_EVENT", " BETRAYED", " LOST_CONTEXT", " EXPRESSES_CONCERN", " LEGACY_LOSS_FOR_PERSON", " LEGACY_OF_PERSON_LOST_IN_HISTORY_", " LEGACY_OF_HEAD_REFERRED_TO_BY_ORDIN", " LESS_THAN_OR_EQUAL_TO_TIME_FROM_NOW", " CONTROVERSIAL_LEGACY_OF_HEAD_ENTITY_", " LEGACY_OF_ORGANIZATION", " FIGHTED", " LEGACY_OF\n or\n BELONGS_TO\n\n", " EXPRESSES_CONCERN" ]

[ [ "0", "2", "PERSON", "Roman Reigns" ], [ "3", "5", "PERSON", "Sami Zayn" ], [ "15", "17", "ORG", "Elimination Chamber" ], [ "23", "25", "PERSON", "Kevin Owens" ], [ "26", "28", "EVENT", "Royal Rumble" ], [ "29", "31", "PERSON", "Jake Paul" ], [ "36", "38", "PERSON", "Tommy Fury" ], [ "39", "43", "PERSON", "Molly Mae Hague’s" ], [ "43", "44", "ORDINAL", "first" ], [ "61", "65", "DATE", "one year or less" ], [ "66", "69", "PERSON", "Raul Rosas Jr" ], [ "74", "75", "ORG", "UFC" ], [ "85", "87", "PERSON", "Jay Perrin" ], [ "96", "97", "ORG", "UFC" ], [ "98", "100", "PERSON", "Chael Sonnen" ], [ "103", "106", "PERSON", "Khabib Nurmagomedov’s" ] ]

[ "3165 E. Millrock Drive, Suite 100\nWebsite: Outcome Private Wealth\nChad switched career paths after hiring a financial planner and learning the benefits of long-term planning. Inspired to help others navigate their own financial road map, he left his sales job in the medical field to pursue finance. His perspective as both a client and an advisor makes him very relatable. Chad specializes in Estate Investment Planning, Retirement Income Planning and Comprehensive Investment Planning.\nWith a bachelor’s degree in technical sales and business from Weber State University, Chad is also a Certified Personal Wealth Advisor (CPWA®) who holds his Series 7 held by LPL Financial and Series 66 held by Stratos Wealth Partners.\nAway from the office Chad enjoys spending time with his wife, Amber, and three children on their small farm. In addition to hiking, camping and skiing, Chad is an adrenaline seeker on the hunt for new opportunities that push his personal limits." ]

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[ " LOCATION_OF\n OR LOCATED_AT (Both are acceptable)", " LOCATION_OF\n OR\n WORKS_AT\n OR\n", " LOCATION_OF\n\n Explanation:\n The text states that Ch", " EDUCATION", " LOCATION_OF\n\n Explanation:\n The text states that Ch", " HOLDS", " HOLDS", " LOCATION_OF\n\n Explanation:\n The text states that Ch", " SPOUSE", " LOCATION.OF.ENTITY.SUITE_NUMBER.FOR.ENTITY.", " LOCATION.AT.ORGANIZATION", " EMPLOYED_BY", " EMPLOYED_BY", " EDUCATION\n\n Explanation:\n Chad has a bachelor", " EMPLOYED_BY", " FINANCIAL_INSTITUTION.ADVISOR_OF.FINANCIAL", " HELD_BY", " ADVISORY_BOARD_MEMBER\n or\n AFFILIATION", " EMPLOYED_BY", " SPOUSE", " SPECIALIZES_IN", " EMPLOYED_BY", " LOCATION_AT_ADDRESS", " WORKS_FOR", " SELF", " EDUCATION\n\n Entities: \n [{'head': ['1", " SELF", " HOLDS", " HOLDS", " HOLDS", " SELF", " SPOUSE", " CHILD_OF", " SELF", " LOCATION_AT_ADDRESS", " WORKS_FOR", " SELF", " EDUCATION\n\n Entities: \n [{'head': ['7", " SELF", " HOLDS", " HOLDS", " HOLDS", " SELF", " SPOUSE", " NO_RELATION", " SELF", " EDUCATION\n\n Text: \n ['3165 E.", " EDUCATED_AT", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n The text states that Chad", " EDUCATION\n\n Explanation:\n Chad holds a Series ", " EDUCATION_AT\n or\n ORG_AFFILIATION", " EDUCATION", " NO_RELATION", " NO_RELATION", " EDUCATION", " LOCATION_AT_ADDRESS", " WORKS_FOR", " SELF.", " SELF", " EDUCATION\n\n Entities: \n [{'head': ['1", " HOLDS", " HOLDS", " HOLDS", " SELF", " SPOUSE", " CHILD_OF", " SELF", " HELD_BY", " HOLDS", " HOLDS", " HOLDS", " EDUCATION", " HOLDS", " HOLDS", " HELD_BY", " HOLDS", " NO_RELATION", " Holds", " HOLDS", " HELD_BY", " HOLDS", " HOLDS", " EDUCATION", " HOLDS", " HOLDS", " HOLDS", " HOLDS", " SPOUSE", " HOLDS", " HOLDS", " HOLDS", " HOLDS", " HOLDS", " EDUCATION\n\n Explanation:\n The text states that Chad", " HOLDS", " HOLDS", " HOLDS", " HOLDS", " HOLDER_OF", " HOLDER_OF\n\n Explanation:\n The text states that Ch", " HOLDS", " LOCATION_AT_WORK", " WORKS_FOR", " SELF", " SELF", " EDUCATION\n\n Entities: \n [{'head': ['1", " SELF", " HOLDS", " HOLDS", " HOLDS", " SPOUSE", " CHILD_OF", " SELF", " NO_RELATION.", " SPOUSE_OF\n\n Explanation:\n The text states that Ch", " SPOUSE", " SPOUSE", " EDUCATION\n\n Explanation:\n The text states that Amber", " SPOUSE", " HOLDS", " HOLDS", " HOLDS", " SPOUSE", " SPOUSE_OF\n OR\n HAS_CHILD\n OR\n", " SPOUSE", " EMPLOYED_BY", " FAMILY_MEMBER", " FAMILY_MEMBER", " EDUCATION", " FAMILY_MEMBER", " HOLDS", " HOLDS", " FAMILY_MEMBER", " FAMILY_MEMBER", " FAMILY_MEMBER", " LOCATION_AT_ADDRESS", " WORKS_FOR", " SELF", " SELF", " EDUCATION\n\n Entities: \n [{'head': ['1", " SELF", " HOLDS", " HOLDS", " HOLDS", " SELF", " SPOUSE", " CHILD_OF" ]

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[ "Jason Anderson has been disqualified from Anaheim 2 after taking a swing at fellow 450SX rider Vince Friese.\nIt all began when Friese went too deep into a right-hander and plowed directly into Anderson’s front wheel, causing the Husqvarna rider and KTM Racing’s Marvin Musquin to go down.\nBoth Anderson and Musquin were able to remount, but were unable to transfer out of the heat race.\nAt the conclusion of the heat, the two riders began exchanging words entering the tunnel. Anderson then took a swing at Friese before being shoved to the ground by Friese’s mechanic.\nIt’s not the first time Friese has been involved in an altercation at Angel Stadium. Just one year ago, he collided with Weston Peick and was met with several punches." ]

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[ " DISQUALIFIED_AT.\n\n Entities: \n [{'", " PARTICIPANT_IN.", " FIGHTED", " FIGHTED", " SAME_PERSON", " RIDER_OF\n\n Entities: \n [{'head': ['", " MEMBER_OF", " RIDER_COLLIED_WITH_RIDER", " SAME_PERSON", " RIDER_COLLIED_WITH_RIDER", " INVOLVED_IN.", " SAME_AS", " FIGHTED", " FIGHTED", " PREVIOUS_INCIDENT", " FIGHTED", " INCIDENT_AT", " PREVIOUS_EVENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " DISQUALIFIED_FROM", " AGGRESSOR_OF", " DISPUTE", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " ORG_MEMBER", " RACING_INCIDENT", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " RACING_INCIDENT", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " CAUSED_BY", " CAUSED_INCIDENT", " CAUSED_BY", " NO_RELATION. The text does not mention any relation between Jason Anderson and Weston Pe", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " AGGRESSOR.", " CAUSED_BY", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " RIDER_OF\n\n Entities: \n [{'head': ['", " EMPLOYED_BY", " RIDER_COLLIED_WITH\n\n Entities: \n [{'", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " RACING_COLLISSION", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " CAUSED_BY", " CAUSED_BY", " CAUSED_INCIDENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " FIGHTED", " CAUSED_INCIDENT_AT", " CAUSED_BY\n\n Explanation:\n The text describes that Fries", " SAME_PERSON", " FIGHTED", " CAUSED_BY", " MEMBER_OF", " COLLIDED", " FIGHTED", " CAUSED_CRASH", " INVOLVED_IN.", " FIGHTED", " CAUSED_BY", " CAUSED_BY", " NO_RELATION", " SAME_PERSON", " INVOLVED_IN\n\n Explanation:\n Vince Friese", " PREVIOUS_EVENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " AGGRESSOR. This is the correct label for the given context and entities.", " CAUSED_AT_LOCATION", " CAUSED_BY", " CAUSED_BY\n\n Explanation:\n The text describes an incident where", " AGGRESSOR", " CAUSED_BY", " MEMBER_OF", " COLLIDED", " AGGRESSOR. This is a common relation label for a physical altercation. The", " COLLIDED", " CAUSED_INCIDENT", " AGGRESSOR. This indicates that Friese was the aggressor in the alterc", " CAUSED_BY\n\n Entities: \n [{'head': ['1", " CAUSED_BY", " PREVIOUS_INCIDENT", " FIGHTED", " HAS_INCIDENT_AT", " PREVIOUS_EVENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISQUALIFIED_AT.\n\n Entities: \n [{'", " PARTICIPANT_IN.", " FIGHTED", " FIGHTED", " RIDER_OF\n\n Entities: \n [{'head': ['", " MEMBER_OF", " COMPETITOR_AGAINST_COMPETITOR", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " RACING_INCIDENT", " INVOLVED_IN_INCIDENT", " SELF_RELATION\n\n Entities: \n [{'head':", " FIGHTED", " FIGHTED", " NO_RELATION", " FIGHTED", " LOCATION_OF_EVENT", " PREVIOUS_EVENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISQUALIFIED_AT", " RIDER_OF\n\n Explanation:\n The text states that \"", " DISPUTE", " CAUSED_BY", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " TEAM_MEMBER", " TEAMMATE", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " TEAMMATE", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISPUTE", " DISPUTE", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISPUTE", " INCIDENT_AT", " PREVIOUS_INCIDENT", " NO_RELATION. The text does not provide enough context to determine a relation between 'H", " TEAM_MEMBER", " LOCATION_ORGANIZATION", " ORG_MEMBER\n\n Explanation:\n The text describes that '", " TEAMMATE", " MECHANIC_OF\n\n Explanation:\n In the text, it", " DISQUALIFIED_BY", " COMPETITOR_OF", " TEAM_MEMBER", " DISQUALIFIED_BY", " TEAM_MEMBER", " TEAMMATE", " DISQUALIFIED_FROM\n\n Explanation:\n The text states", " MECHANIC_OF\n\n Explanation:\n In the text, it", " TEAM_MEMBER", " CAUSED_BY\n\n Entities: \n [{'head': ['1", " MECHANIC_OF\n\n Explanation:\n In the text, it", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PREVIOUS_INCIDENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " CAUSED_BY", " RACED_AT", " RACING_TEAM_MEMBER\n\n Explanation:\n Mar", " CAUSED_BY", " CAUSED_BY", " CAUSED_BY", " TEAM_MEMBER", " TEAM_MEMBER", " CAUSED_BY", " RIDER_COLLIED_WITH\n\n Entities: \n [{'", " Both\n or\n Shared_experience\n or\n NO_REL", " CAUSED_BY", " CAUSED_BY", " CAUSED_BY", " CAUSED_BY\n\n Entities: \n [{'head': ['1", " CAUSED_BY", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PREVIOUS_EVENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Marvin Mus", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISQUALIFIED_AT", " PARTICIPANT_IN.", " FIGHTED", " FIGHTED", " SELF_RELATION\n\n Entities: \n [{'head':", " RIDER_OF\n\n Entities: \n [{'head': ['", " MEMBER_OF", " COMPETITOR_AGAINST_COMPETITOR", " RACING_INCIDENT", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " SELF_RELATION\n\n Entities: \n [{'head':", " FIGHTED", " FIGHTED", " NO_RELATION", " FIGHTED", " LOCATION_OF_EVENT", " PREVIOUS_EVENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " CAUSED_CRASH", " RACE_AT", " RACING_WITH.", " COLLIDED", " CAUSED_BY", " CAUSED_CRASH", " TEAM_MEMBER", " MEMBER_OF", " COLLIDED_WITH", " CAUSED_CRASH", " Both\n or\n Two\n or\n Were_involved_in", " CAUSED_CRASH", " COLLIDED", " COLLIDED_WITH", " CAUSED_BY\n\n Entities: \n [{'head': ['1", " COLLIDED", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PREVIOUS_EVENT", " NO_RELATION. The text does not provide enough context to determine a relation between Jason Anderson", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " CAUSED_BY", " CAUSED_BY", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " TEAM_MEMBER", " SHARED_HEAT_RACE", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " RACING_INCIDENT", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " CAUSED_BY", " DISPUTE", " CAUSED_BY", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " DISQUALIFIED_AT", " PARTICIPANT_IN.", " FIGHTED", " FIGHTED", " SELF_RELATION\n\n Entities: \n [{'head':", " RIDER_OF\n\n Entities: \n [{'head': ['", " MEMBER_OF", " COMPETITOR_AGAINST_COMPETITOR", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " COMPETITOR_AGAINST_COMPETITOR", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " FIGHTED", " FIGHTED", " NO_RELATION", " FIGHTED", " LOCATION_OF_EVENT", " PREVIOUS_EVENT", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " AGGRESSOR", " CAUSED_INCIDENT_AT", " CAUSED_BY\n\n Explanation:\n The text states that Fries", " CAUSED_BY", " CAUSED_CONFLICT", " FIGHTED", " CAUSED_BY", " MEMBER_OF", " COLLIDED_WITH", " FIGHTED", " COLLIDED", " CAUSED_INCIDENT_WITH", " FIGHTED", " CAUSED_BY", " CAUSED_INCIDENT_BEFORE", " FIGHTED", " HAS_PREVIOUS_INCIDENT_AT", " PREVIOUS_INCIDENT", " NO_RELATION. The text does not provide enough context to determine a relation between Jason Anderson", " AGGRESSOR", " CAUSED_AT.\n\n Explanation:\n The text states that F", " CAUSED_BY", " CAUSED_CONFLICT", " FRIESE FRIESE\n\n Or:\n\n Relation:", " FIGHTED", " CAUSED_BY", " MEMBER_OF", " COLLIDED_WITH", " FIGHTED", " COLLIDED", " INVOLVED_IN_INCIDENT", " FIGHTED", " FIGHTED", " CAUSED_INCIDENT_PREVIOUSLY", " INVOLVED_IN_ALTERCATION", " INVOLVED_IN\n\n Explanation:\n The text describes an incident", " PREVIOUS_INCIDENT", " NO_RELATION. The text does not provide enough context to determine a relation between Jason Anderson", " CAUSED_BY", " PREVIOUSLY_INVOLVED_IN_ALTERCATION", " PREVIOUS_CONFLICT", " CAUSED_BY", " RIDER_OF\n\n Entities: \n [{'head': ['", " TEAM_MEMBER", " CAUSED_BY", " CAUSED_BY", " TEAMMATE", " CAUSED_BY", " CAUSED_BY", " PREVIOUS_INCIDENT", " CAUSED_BY", " NO_RELATION. The text does not provide enough context to determine a relation between Jason Anderson", " AGGRESSOR. This is the correct label for the given context and entities.", " CAUSED_AT_LOCATION", " CAUSED_BY\n\n Explanation:\n The text states that Fries", " CAUSED_BY", " CAUSED_CONFLICT", " FIGHTED", " CAUSED_BY", " MEMBER_OF", " COLLIDED_WITH", " FIGHTED", " COLLIDED", " INVOLVED_IN_INCIDENT", " FIGHTED", " CAUSED_CONFLICT", " CAUSED_BY", " PREVIOUS_INCIDENT", " HAS_PREVIOUS_INCIDENT_AT", " PREVIOUS_EVENT", " NO_RELATION. The text does not provide enough context to determine a relation between Fries", " DISQUALIFIED_FROM\n\n Explanation:\n The text states", " CAUSED_CONFLICT", " CAUSED_INCIDENT", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " RIDER_OF\n\n Explanation:\n The text describes that Jason", " ORG_MEMBER", " COLLIDED_WITH", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " RACING_INCIDENT", " DISQUALIFIED_FROM\n\n Entities: \n [{'head", " CAUSED_CONFLICT", " LOCATION_OF\n or\n HAS_PREVIOUS_IN", " CAUSED_CONFLICT", " NO_RELATION. The text does not mention any relation between Jason Anderson and Weston Pe", " PREVIOUS_INCIDENT", " PREVIOUS_INCIDENT", " PREVIOUS_INCIDENT", " PREVIOUS_INCIDENT", " PAST_CONFLICT", " HAS_PREVIOUS_CONFLICT_WITH", " HAS_PREVIOUS_CONFLICT", " PREVIOUS_INCIDENT", " PREVIOUS_CONFLICT", " PREVIOUS_INCIDENT", " PREVIOUS_INCIDENT", " HAS_PREVIOUS_CONFLICT", " PREVIOUS_INCIDENT", " INVOLVED_IN_ALTERCATION_WITH", " NO_RELATION. The text does not mention a relation between Weston Peick and Jason", " NO_RELATION. The text does not mention any relation between the entities 'Weston Pe", " NO_RELATION. The text does not provide enough context to determine a relation between Weston", " PREVIOUS_ALTERCATION", " NO_RELATION. The text does not provide enough context to determine a relation between Weston", " NO_RELATION. The text does not mention a relation between Weston Peick and Jason", " COLLIDED_WITH", " NO_RELATION", " COLLIDED", " NO_RELATION. The text does not mention a relation between Weston Peick and Jason", " COLLIDED", " NO_RELATION. The text does not provide enough context to determine a relation between Weston", " NO_RELATION", " NO_RELATION. The text does not mention a relation between Jason Anderson and Weston Pe", " PUNCHED", " NO_RELATION", " NO_RELATION. The text does not provide enough context to determine a relation between Weston", " NO_RELATION. The text does not provide enough context to determine a relation between Weston", " NO_RELATION" ]

[ [ "0", "2", "PERSON", "Jason Anderson" ], [ "6", "7", "FAC", "Anaheim" ], [ "14", "15", "PRODUCT", "450SX" ], [ "16", "18", "PERSON", "Vince Friese" ], [ "24", "25", "PERSON", "Friese" ], [ "37", "38", "PERSON", "Anderson" ], [ "44", "45", "ORG", "Husqvarna" ], [ "47", "50", "ORG", "KTM Racing’s" ], [ "50", "52", "PERSON", "Marvin Musquin" ], [ "58", "59", "PERSON", "Anderson" ], [ "60", "61", "PERSON", "Musquin" ], [ "86", "87", "CARDINAL", "two" ], [ "95", "96", "PERSON", "Anderson" ], [ "101", "102", "PERSON", "Friese" ], [ "109", "110", "ORG", "Friese" ], [ "118", "119", "ORDINAL", "first" ], [ "120", "121", "PERSON", "Friese" ], [ "128", "130", "FAC", "Angel Stadium" ], [ "131", "135", "DATE", "Just one year ago" ], [ "139", "141", "PERSON", "Weston Peick" ] ]

[ "You have a graceful personality and you take care of everyone around. You get attached emotionally pretty quickly and you analyse later.\nAstrology would not be able to analyse, whether you will marry or live with a particular person but it can guide with respect to the compatibility of two individuals. As per your chart, you are fortunate in terms of your life partner. You have a positive time coming up from Apr 2023 onwards.\nThere could be generally some delay for you to get the results, things you do. You would have a comfortable and satisfactory relationship and family life.\nLeo ascendant with the ascendant lord Sun posited in the second house conjunct Venus, Mercury and South Node (Ketu); Mars posited in the ascendant; Seventh lord Saturn posited in the fourth house; Jupiter transits to the ninth house Aries from April 2023 onwards." ]

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[ " CONJUNCTION", " CONJUNCT\n\n Explanation:\n The text mentions that '", " TRANSITS_OVER", " TRANSITS_OVER", " CONJUNCTION", " POSITIONED_IN", " ASCENDANT_OF", " TRANSITS_OVER", " POSITIONED_IN", " POSITIONED_IN", " CONJUNCT\n\n Explanation:\n The text mentions that '", " SATURN_IS_POSITED_IN_THE_FOURTH_HO", " TRANSITS_OVER", " PROXIMITY", " CONJUNCT\n\n Explanation:\n The text mentions that the", " POSITIONED_IN", " INFLUENCES \n\n Explanation:\n The text states that", " TRANSITS_OVER", " POSITIONED_IN", " NO_RELATION", " POSITIONED_IN", " POSITIONED_IN", " TRANSITS_OVER", " TRANSITS_OVER", " SATURN_IS_POSITED_IN_THE_FOURTH_HO", " POSITIONED_IN", " TRANSITS_OVER", " TRANSITS_OVER", " TRANSITS_OVER", " TRANSITS_OVER" ]

[ [ "53", "54", "CARDINAL", "two" ], [ "79", "81", "DATE", "Apr 2023" ], [ "124", "125", "ORDINAL", "second" ], [ "137", "138", "LOC", "Mars" ], [ "143", "144", "ORDINAL", "Seventh" ], [ "145", "146", "PERSON", "Saturn" ], [ "149", "150", "ORDINAL", "fourth" ], [ "156", "157", "ORDINAL", "ninth" ], [ "160", "162", "DATE", "April 2023" ] ]

[ "Ruth van de Velde\nRuth is a knowledge broker at The Broker and the Netherlands Food Partnership. She completed her Master's degree in International Development Studies, researching displacement experiences of Syrian refugees in Jordan. Ruth has experience in the development sector, working on policy coherence and the SDGs, humanitarian aid and development, and MEAL. She is a true generalist passionate about facilitating processes of knowledge (co-) creation, exchange and use." ]

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[ "An Interview with The Zone of Interest location manager Eugene Strange\nAfter winning the Grand Prix at the 76th Cannes Film Festival last year and recently receiving 5 Academy Award and 9 BAFTA Nominations, Jonathan Glazer’s The Zone of Interest hits UK theatres tomorrow 2 February. Capturing the story of the commandant of Auschwitz, Rudolf Höss, and his wife Hedwig, as they strive to build a dream life for their family in a house and garden next to the camp. The production travelled to the historical landmark and surrounding areas in Poland. To facilitate this, Glazer enlisted the help of Salt Film and past location finding collaborator Eugene Strange. I spoke with Strange on this poignant experience, the career track that has led him here, and where it’s all heading next." ]

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"Strange" ], "tail": [ "110", "112", "ORG", "Salt Film" ] } ], [ { "head": [ "123", "124", "PERSON", "Strange" ], "tail": [ "117", "119", "PERSON", "Eugene Strange" ] } ] ]

[ " WON_AWARD", " HAS_WORKED_ON\n\n Explanation:\n In the text", " HELPED_AT\n\n Explanation:\n In the text,", " PAST_EVENT_OF", " HAS_RECEIVED\n\n Explanation:\n The text ment", " HAS_RECEIVED_NOMINATION_FOR\n\n Explanation", " HAS_WORKED_ON\n\n Explanation:\n In the text", " HAS_NOMINATION", " COLLABORATOR", " LOCATION_FACILITATOR", " FACILITATED_IN\n\n Explanation:\n In the text", " HAS_EVENT", " HAS_EVENT", " HELPED_LOCATION_FINDING", " COLLABORATOR", " SPOUSE", " HELPED_LOCATION_FINDING", " COLLABORATOR", " HELPED_BY", " SELF", " SAME_PERSON", " WON_AWARD_FOR\n\n Entities: \n [{'", " WON_AWARD", " WON_AWARD_IN\n\n Entities: \n [{'", " WON_AWARD", " NO_RELATION", " TRAVELS_TO", " WON_AWARD", " HELPED_BY", " HELPED_WIN_AWARD", " HELPED_FACILITATE", " PAST_LOCATION_FINDER", " PRODUCED_BY", " HAS_LOCATION\n\n Entities: \n [{'head': ['", " WON_AWARD_AT\n\n Explanation:\n The text", " WIFE_OF", " TRAVELLED_TO", " WON_AWARD_AT.", " HELPED_BY", " HAS_HELPED", " HELPED_BY", " FACILITATED_BY", " WON_AWARD", " TAKES_PLACE_IN", " WON_AWARD", " RECENT_FAMILY_MEMBER", " TRAVELLED_TO", " WON_AWARD", " COLLABORATOR", " FACILITATED_BY", " HELPED", " HAS_HELPED", " HAPPENED_AT", " HAS_LOCATION\n\n Entities: \n [{'head': ['", " WIN\n\n Entities: \n [{'head': ['59', '", " SPOUSE", " TRAVELLED_TO", " WON_AWARD", " HELPED_BY", " HELPED", " HELPED", " HELPED_BY", " PRODUCED_BY", " HAS_LOCATION\n\n Entities: \n [{'head': ['", " COMMANDED_BY", " MARRIED_TO", " TRAVELLED_TO", " PRODUCED_BY", " HELPED_BY", " HELPED_BY", " HELPED_BY", " RECEIVED_NOMINATION_FOR\n\n Explanation:\n ", " RECEIVED_AWARD", " RECEIVED_NOMINATION_FROM\n\n Entities: \n ", " RECEIVED_AWARD", " RECEIVED_NOMINATION_FOR\n\n Explanation:\n ", " FILMING_LOCATION", " RECEIVED_AWARD", " HAS_HELPED", " RECEIVED_AWARD_FOR", " HELPED_BY", " FACILITATED_BY", " PRODUCED_BY", " HITS", " COMMANDED_BY", " MARRIED_TO", " TRAVELLED_TO", " PRODUCED_BY", " HELPED_BY", " HELPED_BY", " HELPED_BY", " RECEIVED_NOMINATION_FROM", " PRODUCED_BY", " RECEIVED_NOMINATION_FROM", " RECEIVED_NOMINATION_FOR\n\n Explanation:\n ", " RECEIVED_NOMINATION_FOR\n\n Explanation:\n ", " PRODUCTION_LOCATION", " RECEIVED_NOMINATION_FROM", " HAS_HELPED", " HAS_NOMINATION", " HELPED_BY", " PRODUCED_BY", " WON_AWARD", " FILM_FESTIVAL_YEAR\n\n Entities: \n", " WON_GRAND_PRIX_AT", " YEARS_AGO", " FILM_NOMINATIONS", " RECEIVED_NOMINATION", " RECEIVED_NOMINATIONS", " RECEIVED_NOMINATION_FROM", " DIRECTED_BY", " PRESENT_IN.", " PREMIERE_ON", " PREMIERE_ON", " PRODUCED_AT", " DIRECTED_BY", " SPOUSE", " TRAVELLED_TO", " DIRECTED_BY", " ENGAGED_SERVICE_PROVIDER", " PRODUCED_BY", " COLLABORATOR", " PRODUCED_BY", " CREATED_BY", " SET_IN_LOCATION", " SUBJECT_OF\n\n Explanation:\n The text describes 'The Zone", " FAMILY_MEMBER", " PRODUCTION_LOCATION", " DIRECTED_BY", " HAS_HELP_FROM", " PRODUCED_BY", " LOCATION_FACILITATOR", " LOCATION_OF", " TAKEN_PLACE_AT", " UK_IS_LOCATION_OF_76TH_CANNES_FILM", " HOSTED_IN", " HAS_EVENT_IN_LOCATION", " HITS\n\n Explanation:\n The text states that \"The Zone of", " RECEIVED_NOMINATION", " HITS\n\n Explanation:\n The text states that \"The Zone of", " RECEIVED_NOMINATION_FROM", " LOCATION_OF\n\n Explanation:\n The text describes how Jonathan", " RELEASE_LOCATION", " THE_COUNTRY_HAS_A_DATE\n or\n UK_HAS", " HITS", " NEAR_LOCATION", " LOCATED_IN", " LIVES_IN", " TRAVELS_TO", " PRODUCED_BY", " HELPED_BY", " WORKED_FOR", " PRODUCED_IN.", " SPEAKS_WITH", " PREMIERES_AT", " HAS_LOCATION\n\n Entities: \n [{'head': ['", " LIVES_NEAR", " LIVES_NEXT_TO", " TRAVELS_TO", " PREMIERE_OF\n Or\n PRODUCED_BY\n ", " HELPED_BY", " SPEAKS_WITH", " SPOKE_WITH", " ASSOCIATED_WITH", " PREMIERES_ON", " HAPPENS_IN", " LIVES_NEAR", " LIVES_NEAR", " TRAVELLED_TO", " PREMIERE_AT.", " HELPED_BY", " HELPED_BY", " HELPED", " FACILITATED_BY", " PRODUCED_BY", " LOCATION.IN.COUNTRY", " LOCATION_OF\n\n Explanation:\n The text states that \"", " NEIGHBOR.", " TRAVELS_TO", " PRODUCED_BY", " HELPED_BY", " FACILITATED_BY", " FACILITATED_BY", " COLLABORATOR", " WON_AWARD", " WON_AT\n\n Entities: \n [{'head': ['5", " WON_AWARD", " HAS_PREDECESSOR", " RECEIVED_NOMINATIONS_FOR", " RECEIVED_NOMINATION", " RECEIVED_NOMINATIONS", " RECEIVED_NOMINATION_FROM", " DIRECTED_BY", " SUBJECT_OF\n\n Explanation:\n The text states that \"J", " LOCATION.COUNTRY.OF_RESIDENCE", " FUTURE_LOCATION_AT\n\n Explanation:\n The text", " HAS_EVENT", " COMMANDED_BY", " SPOUSE", " PRODUCTION_LOCATION", " DIRECTED_BY", " HELPED_BY", " COLLABORATOR", " HELPED_BY", " COLLABORATOR", " WON_AWARD", " TOPIC_EVENT_STARTED_AT\n\n Entities: \n ", " RECEIVED_AWARD_AT", " LAST_YEAR_OF\n\n Entities: \n [{'head", " RECEIVED_NOMINATIONS_FOR\n\n Explanation:", " RECEIVED_NOMINATION", " LIVED_IN\n\n Explanation:\n The text describes Hed", " RECEIVED_NOMINATION_FROM", " SPOUSE_OF", " PRODUCED_BY", " LIVES_IN", " NEAR_FUTURE_EVENT_FOR_ENTITY", " NEAR_EVENT", " LIVES_NEAR", " SPOUSE", " IN_COUNTRY", " HUSBAND_OF", " HELPED_BY", " COLLABORATOR", " SPEAKER", " WORKED_IN_LOCATION", " TOPIC_LOCATION_OF_EVENT", " SETTING_OF\n\n Explanation:\n The text describes the production of", " Took_place_at", " TEMP_LOCATION_AT_TIME", " IN_COUNTRY", " TRAVELLED_TO", " IN_COUNTRY", " TRAVELLED_TO", " PRODUCED_IN", " SET_IN_LOCATION", " TRAVELS_TO", " IN_COUNTRY", " IN_COUNTRY", " NEAR_LOCATION", " IN_COUNTRY", " IN_COUNTRY", " PRODUCED_IN", " PRODUCED_BY", " WORKED_IN_LOCATION", " ASSOC_WITH", " COLLABORATOR", " WON_AWARD", " WON_AT\n\n Entities: \n [{'head': ['1", " WON_GRAND_PRIX_AT", " WON_AWARD", " RECEIVED_NOMINATIONS", " RECEIVED_NOMINATION", " RECENTLY_RECEIVED_NUM_AWARD_NOMIN", " RECEIVED_NOMINATION_FROM", " PRODUCED_BY", " DIRECTED_BY", " HAS_LOCATION\n\n Entities: \n [{'head': ['", " HAS_EVENT", " HITS\n\n Entities: \n [{'head': ['105", " PRODUCED_AT", " DIRECTED_BY", " SPOUSE", " TRAVELLED_TO", " ENGAGED_WITH", " COLLABORATOR", " COLLABORATOR", " HELPED_BY", " HELPED_WIN_AWARD", " PAST_LOCATION_FINDING_COLLABORATOR", " FACILITATED_BY", " HELPED_IN_PRODUCTION", " HELPED_BY", " HELPED_WITH", " HELPED_BY", " HELPED_WITH", " HELPED_BY", " PRODUCED_BY", " FACILITATED_IN", " HELPED_PRODUCTION", " FACILITATED_EVENT", " HELPED_LOCATION_FINDING", " HELPED_BY", " HELPED_BY", " FACILITATED_IN", " HELPED_BY", " HELPED_BY", " HELPED_BY", " SELF", " WON_AWARD", " HAS_WORKED_AT\n\n Explanation:\n In the text", " HELPED_AT\n\n Explanation:\n In the text,", " PAST_EVENT\n\n Entities: \n [{'head': ['1", " ENGAGED_BY", " HELPED_WIN", " HELPED_BY", " HELPED_WITH_LOCATION_FINDING", " HELPED_BY", " LOCATION_FACILITATOR", " FACILITATED_IN", " FUTURE_EVENT_AT_LOCATION", " HELPED_ON_DATE", " HELPED_LOCATION_FINDING", " HELPED_BY", " ASSOCIATED_WITH", " HELPED_LOCATION_FINDING", " COLLABORATOR", " HELPED_BY", " SAME_PERSON", " SELF", " ENABLED_BY", " HAS_PRIOR_WORK_ON\n\n Entities: \n [", " ENGAGED_IN\n\n Explanation:\n The text mentions", " PAST_EVENT\n\n Entities: \n [{'head': ['J", " ENGAGED_BY\n\n Explanation:\n The text mentions", " HELPED_WIN", " HELPED_BY", " HELPED_WITH_LOCATION_FINDING", " COLLABORATOR", " LOCATION_FACILITATOR", " FILMING_LOCATION", " NO_RELATION", " HAPPENS_ON", " HELPED_LOCATION_FINDING", " HELPED_BY", " SPOUSE", " FILMED_IN", " COLLABORATOR", " HELPED_BY", " SELF" ]

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[ "Vince Fong: Central Valley residents well-served by Speaker McCarthy\nDecember 9, 2023\nCentral Valley Assemblyman Vince Fong issued the following statement regarding the announcement by Representative Kevin McCarthy (R-CA) as he moves onto the next chapter:\n“Speaker Kevin McCarthy served the Central Valley, the State of California and our country with distinction, striving to make our community and nation better.\n“Through our decades of friendship, I’ve seen his commitment and his sacrifice – always optimistic and unafraid of the hard work necessary to create more opportunities for all Americans.\n“I am grateful to Kevin for his leadership, mentorship and dedication; and I look forward to seeing his continued service to the people of the Central Valley and our country.”\nAssemblyman Vince Fong represents the 32nd Assembly District, which encompasses Kern and Tulare Counties." ]

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[ " REPRESENTS", " REPRESENTED_BY", " ISSUED_STATEMENT_ON\n\n Entities: \n [", " REPRESENTS", " FRIENDSHIP", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " FRIENDSHIP", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " SELF_REFERENCE", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " EVENT_MENTIONED_ON\n\n Entities: \n [{'head", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " LOCATED_IN", " REPRESENTED_BY", " REPRESENTS", " PART_OF", " REPRESENTED_IN\n\n Explanation:\n The text states", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " PART_OF", " PART_OF", " REPRESENTED_BY", " SERVED_REGION", " ANNOUNCED_ON", " SERVED_AREA", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " SERVED_REGION", " SERVED_IN\n\n Explanation:\n The text states that \"Spe", " SERVED_DURING", " SERVED_BY", " REPRESENTED_BY", " SERVED_REGION", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " STATED_REGARDING", " REPRESENTS", " STATEMENT_BY\n\n Explanation:\n The text states that \"", " REPRESENTS", " STATED_REGARDING", " STATED_SUPPORT_FOR\n or\n SPOKE_ABOUT\n ", " EVENT_LOCATION", " STATED_REGARDING", " SERVED_IN_REGION", " SETTING_LOCATION", " SERVED_BY", " REPRESENTS", " STATED_REGARDING", " REPRESENTS", " LOCATION_IN. 'Tulare' is located in 'Central Valley'.", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " NO_RELATION", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " LOCATION_IN.\n Or, if you prefer:\n Central_Val", " REPRESENTED_BY", " REPRESENTS", " PART_OF", " REPRESENTED_IN_TIME_PERIOD", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " PART_OF", " PART_OF", " SPOKE_ABOUT", " REPRESENTS", " REPRESENTED_BY", " ISSUED_STATEMENT_ON_DATE", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " FRIENDSHIP", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " SELF_REFERENCE", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " SAME_AS", " ANNOUNCED_ON", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " SELF_REFERENCE", " REPRESENTED_BY", " REPRESENTED_BY", " FRIENDSHIP_WITH_DURATION", " REPRESENTS", " SAME_PERSON", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " NO_RELATION", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " IN_REGION_OF", " PAST_EVENT_IN_LOCATION", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " SAME_AS", " ANNOUNCED_ON", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " FRIENDSHIP", " SERVED_BY", " FRIENDSHIP", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " EVENT_MENTIONED_ON\n\n Entities: \n [{'head", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " PART_OF", " REPRESENTED_BY\n\n Explanation:\n The text states", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " PART_OF", " PART_OF", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " NO_RELATION", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " LOCATION_IN_LOCATION", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_IN.", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " PART_OF", " INCLUDES_REGION\n\n Entities: \n [{'head':", " FRIENDSHIP", " REPRESENTED_BY", " FRIENDSHIP", " REPRESENTED_BY", " FRIENDSHIP", " FRIENDSHIP", " FRIENDSHIP_WITH_GEOGRAPHIC_AREA", " FRIENDSHIP", " REPRESENTED_BY", " SERVED_IN\n\n Explanation:\n The text states that Vince", " FRIENDSHIP", " REPRESENTED_BY", " FRIENDSHIP", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS_REGION_OF\n\n Explanation:\n The", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS_REGION_OF\n\n Explanation:\n The", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " ANNOUNCED_ON", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " FRIENDSHIP", " REPRESENTS", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " EVENT_MENTIONED_ON\n\n Entities: \n [{'head", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " PART_OF", " REPRESENTED_IN_TIME_PERIOD", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " PART_OF", " PART_OF", " SELF_REFERENCE", " REPRESENTS", " REPRESENTED_BY", " ISSUED_STATEMENT_ON\n\n Entities: \n [", " REPRESENTS", " FRIENDSHIP", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " FRIENDSHIP_WITH_DURATION", " REP_OF\n\n Explanation:\n The text states that Vince", " FRIEND.", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTED_BY", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " EVENT_LOCATION", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " REPRESENTS", " REPRESENTS", " IN_REGION_OF", " REPRESENTED_IN.", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " ENTAILS \n\n Explanation:\n The text states that the", " REPRESENTS", " REPRESENTS", " REPRESENTS", " EVENT_DATE_OF.", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " INCLUDES_REGION \n or\n PART_OF \n or", " REPRESENTED_IN.", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " REPRESENTS", " ENTAILS \n\n Explanation:\n The text states that \"" ]

[ [ "0", "2", "PERSON", "Vince Fong" ], [ "3", "5", "LOC", "Central Valley" ], [ "11", "12", "PERSON", "McCarthy" ], [ "13", "17", "DATE", "December 9, 2023" ], [ "18", "20", "LOC", "Central Valley" ], [ "21", "23", "PERSON", "Vince Fong" ], [ "32", "34", "PERSON", "Kevin McCarthy" ], [ "35", "36", "NORP", "R" ], [ "36", "37", "NORP", "-" ], [ "37", "38", "GPE", "CA" ], [ "50", "52", "PERSON", "Kevin McCarthy" ], [ "53", "56", "LOC", "the Central Valley" ], [ "60", "61", "GPE", "California" ], [ "80", "81", "DATE", "decades" ], [ "108", "109", "NORP", "Americans" ], [ "116", "117", "PERSON", "Kevin" ], [ "138", "141", "LOC", "the Central Valley" ], [ "148", "150", "PERSON", "Vince Fong" ], [ "152", "153", "ORDINAL", "32nd" ], [ "158", "159", "GPE", "Kern" ], [ "160", "161", "GPE", "Tulare" ] ]

[ "As a followup to my post earlier this year on mapping your SharePoint Masterpage Library, there’s a new option. Bruce, from webucator, made an easy-to-follow, 3 minute video showing the steps visually.\nWebucator has a whole series of YouTube videos on SharePoint available for free. And they are just an example of the quality of their instruction and instructors available for on-site and online SharePoint training.\nLet me know what you think of the video in the comments or by twitter, @resing." ]

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[ " MADE_VIDEO_OF", " PREVIOUS_POST_BY\n\n Explanation:\n The", " PREVIOUS_WORK_BY", " POSTED_ON", " CREATED_BY", " PROVIDES_TRAINING", " PROVIDES_TRAINING", " PROVIDES_PLATFORM_FOR", " PRECEDED_BY", " CREATED_BY", " INSTRUCTS", " MADE_VIDEO_WITH_DURATION", " TEACHES\n\n Explanation:\n Bruce is teaching or instructing at", " HAS_VIDEO_PRODUCED", " CREATED_PRODUCT_VIDEO", " CREATED_PRODUCT", " PRECEDES", " PROVIDES_SERVICE", " CREATED_BY", " PRODUCED_VIDEO_WITH_TIME_DURATION", " IS_NAME_OF", " HAS_CHANNEL", " PROVIDES_TRAINING_FOR\n\n Explanation:\n The text", " PROVIDES_TRAINING_FOR\n\n Explanation:\n The text", " MADE_VIDEO_OF", " HAS_PRODUCED", " MADE_VIDEO_FOR\n or\n PRODUCED_VIDEO_BY", " SHOWS_VIDEO", " PRECEDED_BY", " PROVIDES_SERVICE", " CREATED_BY", " IS_NAME_OF", " PRODUCED_VIDEO_WITH_TIMEDURATION", " HAS_CHANNEL", " PROVIDES_TRAINING_FOR\n or\n OFFERS_TRAINING", " PROVIDES_TRAINING_FOR\n\n Explanation:\n Webuc", " PRECEDED_BY", " PROVIDES_SERVICE_FOR\n\n Explanation:\n The text states that", " CREATED_BY", " PROVIDES_TRAINING", " HAS_TIME\n\n Explanation:\n The text states that Bruce made", " PROVIDES_TRAINING", " PROVIDES_SERVICE", " PROVIDES_SERVICE", " CREATED_BY", " PROVIDES_TRAINING", " PROVIDES_TRAINING", " PROVIDES_SERVICE", " CREATED_BY", " PROVIDES_TRAINING", " PROVIDES_TRAINING", " PROVIDES_SERVICE" ]

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[ "Asma bibi's Story\nAsma Bibi 24 years of age was pregnant with her 3rd child. She had her surgeries done for previous childbirths. This time she was advised elective surgery again. Her C-Section was done on 08-03-19 in Abid Hospital, Mian Channu by Dr Sadaf Aqeel. She was happy to give birth to a healthy baby boy. She stayed for two days in hospital and was discharged in stable condition along with her baby." ]

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"PERSON", "Asma bibi's" ] } ], [ { "head": [ "52", "54", "GPE", "Mian Channu" ], "tail": [ "5", "7", "PERSON", "Asma Bibi" ] } ], [ { "head": [ "52", "54", "GPE", "Mian Channu" ], "tail": [ "7", "11", "DATE", "24 years of age" ] } ], [ { "head": [ "52", "54", "GPE", "Mian Channu" ], "tail": [ "15", "16", "ORDINAL", "3rd" ] } ], [ { "head": [ "52", "54", "GPE", "Mian Channu" ], "tail": [ "43", "48", "DATE", "08-03-19" ] } ], [ { "head": [ "52", "54", "GPE", "Mian Channu" ], "tail": [ "49", "51", "ORG", "Abid Hospital" ] } ], [ { "head": [ "52", "54", "GPE", "Mian Channu" ], "tail": [ "56", "58", "PERSON", "Sadaf Aqeel" ] } ], [ { "head": [ "52", "54", "GPE", "Mian Channu" ], "tail": [ "74", "76", "DATE", "two days" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "0", "3", "PERSON", "Asma bibi's" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "5", "7", "PERSON", "Asma Bibi" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "7", "11", "DATE", "24 years of age" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "15", "16", "ORDINAL", "3rd" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "43", "48", "DATE", "08-03-19" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "49", "51", "ORG", "Abid Hospital" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "52", "54", "GPE", "Mian Channu" ] } ], [ { "head": [ "56", "58", "PERSON", "Sadaf Aqeel" ], "tail": [ "74", "76", "DATE", "two days" ] } ], [ { "head": [ "74", "76", "DATE", "two days" ], "tail": [ "0", "3", "PERSON", "Asma bibi's" ] } ], [ { "head": [ "74", "76", "DATE", "two days" ], "tail": [ "5", "7", "PERSON", "Asma Bibi" ] } ], [ { "head": [ "74", "76", "DATE", "two days" ], "tail": [ "49", "51", "ORG", "Abid Hospital" ] } ], [ { "head": [ "74", "76", "DATE", "two days" ], "tail": [ "52", "54", "GPE", "Mian Channu" ] } ], [ { "head": [ "74", "76", "DATE", "two days" ], "tail": [ "56", "58", "PERSON", "Sadaf Aqeel" ] } ] ]

[ " SPOUSE OR PARENT_CHILD OR BIRTH_OF OR IDENT", " AGED_BY\n\n Entities: \n [{'head': ['0", " PREGNANT_WITH\n\n Entities: \n [{'head':", " C_SECTION_ON\n\n Explanation:\n The relation label \"", " HOSPITALIZED_AT", " LOCATION_OF\n\n Explanation:\n The head entity \"As", " DOCTOR_PERFORMED_SURGERY_ON", " STAYED_FOR\n\n Explanation:\n The text states that \"", " AUTHOR_OF\n\n Explanation:\n The text is a story about", " AGED_BY\n\n Entities: \n [{'head': ['5", " PREGNANT_WITH\n\n Entities: \n [{'head':", " C-Section_PERFORMED_ON\n Or\n HAD_SUR", " HOSPITALIZED_AT", " LOCATION_OF\n\n Explanation:\n Asma Bibi", " DOCTOR_PERFORMED_SURGERY_ON", " STAYED_FOR\n\n Explanation:\n The text states that \"", " BIRTH_OF\n\n Text: \n [\"Asma bibi", " AGED_BY\n\n Text: \n [\"Asma bibi'", " HOSPITALIZED_AT", " LOCATION_OF\n OR\n HOSPITALIZED_AT\n", " DOCTOR_PERFORMED_SURGERY_ON", " CHILD_OF\n\n Explanation:\n The entities represent \"Asma", " CHILD_OF", " HOSPITALIZED_AT", " LOCATION_OF\n\n Explanation:\n Asma Bibi", " DOCTOR_PERFORMED_SURGERY_ON", " BIRTH_DATE", " CHILDBIRTH_DATE", " HOSPITALIZED_AT", " LOCATION_OF\n Or\n HOSPITALIZED_AT\n", " DOCTOR_PERFORMED_SURGERY_ON", " LOCATION_OF\n\n Explanation:\n The text states that As", " HOSPITAL_ADMITTED_PERSON", " LOCATION_OF_EVENT", " LOCATION_OF_EVENT\n\n Explanation:\n The head entity", " LOCATION_OF\n ORGANIZATION_FOUNDED\n (", " LOCATION_IN_ORGANIZATION", " DOCTOR_OF\n\n Explanation:\n In the text, it is", " STAYED_FOR\n\n Explanation:\n The text states that As", " LOCATION_OF\n\n Explanation:\n The head entity is \"", " LOCATION_OF\n\n Explanation:\n The text states that As", " LOCATION_OF_EVENT", " LOCATION_OF_EVENT\n\n Entities: \n [{'head", " LOCATION_OF\n Or\n HOSPITALIZED_AT\n", " LOCATION_OF\n or\n HOSPITAL_IN\n or", " DOCTOR_OF\n\n Explanation:\n The text states that \"Her", " STAYED_FOR\n\n Explanation:\n The text states that As", " DOCTOR_PERFORMED_SURGERY_ON", " DOCTOR_PERFORMED_SURGERY_ON", " PERFORMED_PROCEDURE_ON\n\n Explanation:\n The", " PERFORMED_SURGERY_ON", " PERFORMED_PROCEDURE_ON", " PERFORMED_AT", " LOCATION_OF\n Or\n PERFORMED_AT\n Or\n", " PERFORMED_PROCEDURE_ON_DATE", " STAYED_FOR\n\n Explanation:\n The context states that \"", " STAYED_FOR\n\n Explanation:\n The text states that \"", " STAYED_AT", " STAYED_IN", " DOCTOR_PERFORMED_SURGERY_ON" ]

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[ "100% secure and verified payments with:\nMade On Demand\n⚠ From now the delivery in time for Christmas isn't 100% guaranteed. This product is made on demand, which means a delay of 7-14 workings days before shipment as our craftsmen make your special order.\nThe Viking tapestry with Viking Drakkars\nSet the tone of your room from the walls out. Mix and match your favorite art prints on a gallery wall showcasing everything that makes your style unique with this Viking tapestry featuring a portrait of Viking Drakkars in nordic sea rough wood ships of Scandinavian ancient art as a wall hanging tapestry. Our fabric is strong, durable, and if cared for properly, will be long-lasting.\n- Fabric: Polyester\n- Size: 100cmx150cm / 39.3 x 59 inches\nOther shoppers loved these products" ]

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[ " CREATED_BY", " PAYS_FOR\n\n Explanation:\n The text states that \"", " NOT_APPLICABLE \n\n Explanation:\n The text does", " NOT_APPLICABLE\n\n Explanation:\n The text does not", " PAYS_FOR\n\n Explanation:\n The text states that \"", " PAYMENT_FOR\n or\n PRODUCT_OF\n\n Explan", " DELAYS_PRODUCTION_OF", " CAUSES_DELAY", " CREATED_BY", " FEATURED_IN", " MADE_BY", " NO_RELATION", " GUARANTEES\n\n Explanation:\n The text states that", " MAKES_DELAY_OF_7_TO_14_WORKING_", " FEATURE_OF\n or\n PRODUCED_BY\n or\n", " FEATURE_OF", " FEATURE_OF", " FEATURED_IN", " ORIGIN. The entities represent a head entity (Viking Drakkars) and", " SIZE_OF\n\n Explanation:\n The text mentions that the", " CREATOR_OF \n or\n PRODUCER_OF\n ", " FEATURED_IN", " CREATOR_OF \n or\n PRODUCER_OF\n ", " FEATURED_IN", " MADE_OF\n\n Explanation:\n The text states that \"this", " NOT_APPLICABLE\n\n Explanation:\n The text does not", " GUARANTEES\n\n Explanation:\n The text states that", " CAUSES_DELAY", " FEATURE_OF \n or\n PRODUCED_BY \n ", " IS_A (or SUBTYPE_OF)", " FEATURE_OF \n or\n PRODUCED_BY \n ", " FEATURE_OF", " ORIGIN_FROM", " SIZE_OF", " ANCESTRY_OR_CULTURE", " ANCESTOR_DESCENDANT # or ORIGIN_PROVENANCE", " SIZE_OF_PRODUCT\n or\n DIMENSIONS_OF", " SIZE_OF_PRODUCT\n or\n DIMENSIONS_OF" ]

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[ "Sarah Westbrook MS, LPC, NCC\nSarah entered clinical practice as a professional counselor in 2012. She is an Army wife and mother of seven. She has a passion for combining neuroscience with evidence-based counseling interventions to help her clients achieve lasting life change. She is Gottman trained with DBT and CBT certifications. She works with men, women and the LGBT community, age 16 and older, for individual therapy, marriage and family counseling, and offers weekend psycho-educational training courses. She has experience working with depression, anxiety, PTSD, mood disorders, and personality disorders. She has a passion for working with Veterans as well as military personnel and their families. In her spare time, she loves to read, hike, and can occasionally be found hiding from her children and eating chocolate or caramel popcorn in her closet." ]

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[ " SELF", " ENTERED_PROFESSIONALLY_IN", " MARRIED_TO\n\n Explanation:\n The text states that", " CHILDREN_OF", " TRAINED_BY", " WORKS_WITH\n\n Explanation:\n Sarah Westbrook works", " WORKS_WITH\n\n Explanation:\n Sarah Westbrook offers", " PROFESSIONAL_NAME_FOR_PERSON", " ENTERED_PROFESSIONALLY_IN_YEAR", " MARRIED_TO\n\n Explanation:\n The text states that", " CHILDREN_OF", " TRAINED_BY", " WORKS_WITH\n\n Explanation:\n Sarah works with individuals who", " WORKS_WITH\n\n Explanation:\n Sarah works with clients during", " ENTERED_PROFESSIONALLY", " ENTERED_CLINICAL_PRACTICE", " SPOUSE_OR_RELATIVE", " TRAINED_BY", " SPOUSE_OR_RELATIVE", " SPOUSE\n\n Explanation:\n The text states that Sarah is an", " ENTERED_YEARS_AGO", " SPOUSE_OF\n\n Explanation:\n The text states that Sarah", " TRAINED_BY", " WORKS_WITH\n\n Explanation:\n Sarah works with individuals who", " WORKS_WITH\n\n Explanation:\n Sarah works on weekend training", " CHILD_OF", " CHILDREN_OF", " SPOUSE_OR_RELATIVE", " NUM_CHILDREN_OF\n\n Explanation:\n The", " TRAINED_BY", " TRAINED_BY", " GOTTMAN_TRAINED_IN\n\n Explanation:\n ", " GOTTMAN_TRAINED_FOR_MILITARY", " FAMILY_MEMBER_OF\n OR\n HAS_CHILD", " WORKS_WITH\n\n Explanation:\n The text states that Sarah", " OFFERS_TRAINING_COURSE_ON_DATE", " OLDER_THAN", " WORKS_WITH", " SPOUSE_OR_RELATIVE", " HAS_CERTIFICATION_FROM", " WORKS_FOR\n OR\n OFFERS_TRAINING_COUR", " WORKS_FOR\n\n Explanation:\n Sarah offers weekend psycho", " WORKS_WITH\n\n Explanation:\n The text states that Sarah", " WORKS_WITH\n\n Explanation:\n The text states that Sarah" ]

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[ "Wed, Apr 06|\nWhiteford Wesleyan Church\nWhiteford Wesleyan Student Ministry: Rekindle\nRegistration not required.\nTime & Location\nApr 06, 2022, 6:30 PM – 7:30 PM\nWhiteford Wesleyan Church, 10285 Sylvania-Petersburg Rd, Ottawa Lake, MI 49267, USA\nAbout The Event\nJoin Pastor Ben Ufford as he presents topical and scriptural messages relative to your life, now! Pastor Ben likes to keep things casual and conversational and he wants Whiteford Student Ministries to be a place where teens can feel like they belong and grow in our walk with our Lord. You will get to interact with other people your age who are asking some of the same questions about life that you are and how our decisions, good or bad, affect every area of our lives." ]

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[ "WMG brings you the “Big Earner”—honoring 1979 Odor Eaters runner-up Ernie McCracken and paying homage to Bill’s role in the classic Farrelly brothers' comedy.\nPour up a Tanqueray and Tab because this latest offering really is a gravy train with biscuit wheels.\nNavy blue, covered with tonal bowling balls—several sporting the red rose good luck ball “Big Ern” used to take out Roy Munson for the championship in Reno, this design is back for another season and sweeter than Yoo-Hoo.\nThis product is final sale. See here for information on exchanges." ]

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], [ { "head": [ "94", "97", "PRODUCT", "Yoo-Hoo" ], "tail": [ "13", "15", "PERSON", "Ernie McCracken" ] } ], [ { "head": [ "94", "97", "PRODUCT", "Yoo-Hoo" ], "tail": [ "19", "20", "PERSON", "Bill" ] } ], [ { "head": [ "94", "97", "PRODUCT", "Yoo-Hoo" ], "tail": [ "25", "26", "PERSON", "Farrelly" ] } ], [ { "head": [ "94", "97", "PRODUCT", "Yoo-Hoo" ], "tail": [ "76", "78", "PERSON", "Roy Munson" ] } ], [ { "head": [ "94", "97", "PRODUCT", "Yoo-Hoo" ], "tail": [ "82", "83", "GPE", "Reno" ] } ] ]

[ " PRODUCES", " HONORED_IN_YEAR", " HONORS", " HONORS", " HONORS", " HONORS", " BRINGS_PRODUCT", " PRODUCES", " BEAT\n\n Explanation:\n The text mentions that Ernie McC", " LOCATION_OF\n OR:\n PRODUCT_FROM\n (Note", " PRODUCES", " NO_RELATION", " HONORS", " HONORS", " HONORS", " HONORS", " HONORS", " HONORED_BY", " HONORS_EVENT", " HONORS", " RUNNER_UP_OF", " RUNNER_UP_OF\n\n Text: \n [\"WMG brings", " RUNNER_UP_OF\n\n Explanation:\n The text ment", " HONORS", " BEAT\n\n Explanation:\n The text mentions that Ernie McC", " LOCATION_OF_EVENT", " PRODUCES", " HONORS", " RUNNER_UP_OF\n\n Explanation:\n The text ment", " HONORED_BY", " HONORED_BY", " HONORS", " PRODUCED_BY", " PRODUCED_BY", " USED_TO_TAKE_OUT", " LOCATION_OF\n\n Explanation:\n The text mentions that", " HAS_SEASON", " NO_RELATION", " HONORED_BY", " HONORS", " RUNNER_UP_OF\n\n Explanation:\n The text ment", " HONORED_BY", " HONORED_BY", " HONORED_BY", " HONORS", " HONORS", " USED_TO_BEAT", " TAKEN_PLACE_AT", " HAS_SEASON", " NO_RELATION", " BRINGS_PRODUCT", " HONORED_BY", " BELONGS_TO\n\n Explanation:\n The text mentions", " HONORED_BY", " HONORED_BY", " HONORED_BY", " HONORS \n\n Explanation:\n The text mentions that W", " PRODUCES", " USED_TO_TAKE_OUT", " TAKEN_PLACE_AT", " SEASON_OF\n\n Explanation:\n The text mentions that", " SWEETER_THAN", " PRODUCES", " HONORS", " HONORS\n\n Explanation:\n The text mentions that WMG", " HONORS", " HONORS", " HONORED_BY", " HONORS", " HONORS", " TAKEN_FROM", " LOCATION_OF\n\n Explanation:\n The text mentions that", " SEASON_OF\n\n Explanation:\n The text mentions that", " NO_RELATION", " PRODUCES", " HONORS", " HONORS", " HONORS", " HONORS", " USED_BY", " USED_IN.", " PRODUCER", " PRODUCED_BY", " HONORED_BY", " HONORS", " HONORS", " USED_BY", " LOCATION_OF\n\n Explanation:\n The text mentions that", " PAID_BY", " HONORED_BY", " TAKEN_PLACE_IN_YEAR", " USED_BY", " USED_TO_TAKE_OUT", " TOOK_OUT", " TAKEN_OUT_BY", " USED_FOR_CHAMPIONSHIP_WIN", " USED_FOR_PRODUCTION_OF", " TAKEN_PLACE_IN", " PRECEDED_BY", " NO_RELATION", " LOCATION_OF\n or\n PRODUCES\n\n Explan", " HONORS", " LOCATION_OF_EVENT", " LOCATION_OF\n or\n PRODUCT_OF\n or\n ", " LOCATION_OF\n or\n PREVIOUS_LOCATION_", " BEAT\n or\n DEFEATED\n or\n WON_AG", " LOCATION_OF\n or\n PRODUCT_OF\n or\n ", " USED_FOR_PRODUCTION_OF", " USED_FOR_PRODUCTION_OF", " BEAT\n\n Explanation:\n The text mentions that Ernie McC", " BACK_IN_STOCK", " SWEETER_THAN", " PRODUCES", " SEASON_OF", " HONORS", " SEASON_OF\n\n Explanation:\n The text mentions that", " HONORS", " USED_FOR_VICTORY", " TEMP_LOCATION_AT\n\n Explanation:\n The text ment", " SELLS\n\n Explanation:\n The text mentions that WMG", " HONORED_BY", " HONORED_BY", " HONORED_BY", " HONORED_BY", " USED_FOR\n\n Explanation:\n The text mentions that \"", " LOCATION_OF\n\n Explanation:\n The text mentions that" ]

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[ "A yellow weather warning for snow and ice is in place until 11am today and from 5pm today until 11am tomorrow (Nov 30).\nThese images, taken by The Yorkshire Post’s CountryWeek editor Emma Ryan, show the A171 Whitby to Scarborough Road near Harwood Dale and Ravenscar turn off, and Stainsacre, a village on the edge of Whitby.\nOvernight, the A169 between Whitby and Pickering was closed by RAF Fylingdales due to snow and ice.\nA spokesperson for the Met Office said: “Snow is a consistent theme for the Yorkshire forecast for the next few days as snow showers continue to feed in from the North Sea.\n“There may be some modest accumulations on lower ground but the higher totals will be confined to those areas of much higher elevation, especially areas like the North York Moors.”" ]

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"GPE", "Ravenscar" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "60", "61", "GPE", "Stainsacre" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "68", "69", "GPE", "Whitby" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "71", "72", "TIME", "Overnight" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "73", "76", "FAC", "the A169 between" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "76", "77", "GPE", "Whitby" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "78", "79", "GPE", "Pickering" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "82", "84", "ORG", "RAF Fylingdales" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "94", "97", "ORG", "the Met Office" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "110", "114", "DATE", "the next few days" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "122", "125", "LOC", "the North Sea" ] } ], [ { "head": [ "107", "108", "GPE", "Yorkshire" ], "tail": [ "155", "159", "LOC", "the North York Moors" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "35", "39", "ORG", "The Yorkshire Post’s" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "39", "40", "ORG", "CountryWeek" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "41", "43", "PERSON", "Emma Ryan" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "52", "54", "GPE", "Harwood Dale" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "55", "56", "GPE", "Ravenscar" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "60", "61", "GPE", "Stainsacre" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "68", "69", "GPE", "Whitby" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "76", "77", "GPE", "Whitby" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "78", "79", "GPE", "Pickering" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "82", "84", "ORG", "RAF Fylingdales" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "94", "97", "ORG", "the Met Office" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "107", "108", "GPE", "Yorkshire" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "122", "125", "LOC", "the North Sea" ] } ], [ { "head": [ "110", "114", "DATE", "the next few days" ], "tail": [ "155", "159", "LOC", "the North York Moors" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "12", "14", "TIME", "11am" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "14", "15", "DATE", "today" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "17", "20", "TIME", "5pm today" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "21", "23", "TIME", "11am" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "23", "24", "DATE", "tomorrow" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "25", "27", "DATE", "Nov 30" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "35", "39", "ORG", "The Yorkshire Post’s" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "39", "40", "ORG", "CountryWeek" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "41", "43", "PERSON", "Emma Ryan" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "45", "48", "FAC", "the A171 Whitby" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "49", "51", "FAC", "Scarborough Road" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "52", "54", "GPE", "Harwood Dale" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "55", "56", "GPE", "Ravenscar" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "60", "61", "GPE", "Stainsacre" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "68", "69", "GPE", "Whitby" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "71", "72", "TIME", "Overnight" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "73", "76", "FAC", "the A169 between" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "76", "77", "GPE", "Whitby" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "78", "79", "GPE", "Pickering" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "82", "84", "ORG", "RAF Fylingdales" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "94", "97", "ORG", "the Met Office" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "107", "108", "GPE", "Yorkshire" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "110", "114", "DATE", "the next few days" ] } ], [ { "head": [ "122", "125", "LOC", "the North Sea" ], "tail": [ "155", "159", "LOC", "the North York Moors" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "12", "14", "TIME", "11am" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "14", "15", "DATE", "today" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "17", "20", "TIME", "5pm today" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "21", "23", "TIME", "11am" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "23", "24", "DATE", "tomorrow" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "25", "27", "DATE", "Nov 30" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "35", "39", "ORG", "The Yorkshire Post’s" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "39", "40", "ORG", "CountryWeek" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "41", "43", "PERSON", "Emma Ryan" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "45", "48", "FAC", "the A171 Whitby" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "49", "51", "FAC", "Scarborough Road" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "52", "54", "GPE", "Harwood Dale" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "55", "56", "GPE", "Ravenscar" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "60", "61", "GPE", "Stainsacre" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "68", "69", "GPE", "Whitby" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "71", "72", "TIME", "Overnight" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "73", "76", "FAC", "the A169 between" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "76", "77", "GPE", "Whitby" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "78", "79", "GPE", "Pickering" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "82", "84", "ORG", "RAF Fylingdales" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "94", "97", "ORG", "the Met Office" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "107", "108", "GPE", "Yorkshire" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "110", "114", "DATE", "the next few days" ] } ], [ { "head": [ "155", "159", "LOC", "the North York Moors" ], "tail": [ "122", "125", "LOC", "the North Sea" ] } ] ]

[ " PUBLISHER_OF", " TAKEN_BY", " TAKEN_PHOTOS_OF", " FROM_TIME_TO_LOCATION", " FROM_TIME_TO_LOCATION", " LOCATION_IN.", " END_TIME_OF_YELLOW_WARNING_FOR_GPE", " TIME_AFTER\n\n Entities: \n [{'head': ['7", " CLOSED_BY\n\n Explanation:\n The context mentions that", " CLOSED_BY", " ISSUE_WARNING", " TIME_IN_AREA", " SNOW_FEEDS_IN_FROM", " SNOW_ON_MOUNTAIN_RANGE", " PUBLISHED_BY", " TAKEN_PHOTOS_BY", " TAKEN_PHOTOS_BY", " NEAR.", " LOCATION_IN.", " LOCATION_IN.", " YEAR_AGO_LOCATION", " YEAR_AGO_LOCATION", " CLOSED_BY\n\n Explanation:\n The context states that \"", " CLOSED_BY", " ISSUE_WARNING", " LOCATION_IN.", " SNOW_FEEDS_IN_FROM", " LOCATION_IN_REGION", " PUBLISHER", " IMAGE_TAKEN_BY", " TAKEN_BY", " FROM_TIME_TO_LOCATION", " FROM_TIME_TO_LOCATION", " LOCATION_NEARBY", " FROM_TIME_TO_LOCATION", " FROM_TIME_TO_LOCATION", " CLOSED_BY", " CLOSED_BY", " ISSUE_WARNING", " FROM_TIME_TO_GPE", " SNOW_FEEDS_IN_FROM", " HIGHER_ELEVATION_LOCATION", " PUBLISHED_BY", " TAKEN_BY", " TAKEN_BY", " FROM_TIME_TO_LOCATION", " FROM_TIME_TO_LOCATION", " LOCATION_IN.", " END_TIME_OF_YELLOW_WARNING_FOR_GPE", " END_TIME_OF_YELLOW_WARNING_FOR_GPE", " CLOSED_BY\n\n Explanation:\n The context mentions that", " CLOSED_BY", " ISSUE_WARNING", " TIME_IN_AREA", " FEEDS_IN_FROM", " SNOW_ON_MOUNTAINS\n\n Explanation:\n ", " PUBLISHER_OF\n\n Entities: \n [{'head", " TAKEN_BY", " TAKEN_BY", " FROM_DATE_TO_LOCATION", " FROM_DATE_TO_LOCATION", " LOCATION_NEARBY", " FROM_DATE_TO_LOCATION", " FROM_DATE_TO_LOCATION", " CLOSED_BY\n\n Explanation:\n The text mentions that", " CLOSED_BY", " FORECAST_FOR_ORG", " LOCATION_IN.", " SNOW_FEEDS_IN_FROM", " HIGHER_ELEVATION_LOCATION", " PUBLISHED_BY", " TAKEN_BY", " TAKEN_BY", " YEAR_BEFORE_LOCATION", " IN_AREA", " LOCATION_IN.", " YEAR_AFTER_LOCATION", " YEAR_AFTER_LOCATION", " CLOSED_BY", " CLOSED_BY", " ISSUE_WARNING", " IN_REGION", " FEEDS_IN_FROM", " LOCATION_IN_REGION", " UNTIL", " PUBLISHED_ON", " PUBLISHED_AT", " UNTIL", " END_DATE", " DATE_MENTIONED_BY", " EDITOR_OF", " PHOTOGRAPHER_OF\n\n Entities: \n [{'", " PUBLISHER_OF\n\n Entities: \n [{'head", " NEAR. This text mentions 'these images, taken by The Yorkshire Post’", " TAKEN_PHOTO_AT", " EDITOR_OF\n\n Entities: \n [{'head': ['A", " LOCATION_MENTIONED_IN_TEXT", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PREVIOUS_EVENT_TIME\n\n Entities: \n [", " PUBLISHES_ARTICLE_ABOUT", " LOCATION_OF\n\n Entities: \n [{'head': ['", " CLOSED_BY", " CLOSED_BY", " MEDIA_ORGANIZATION_MENTIONS_ORGANIZATION", " BELONGS_TO", " FORECAST_FOR_PERIOD", " FEEDS_IN_FROM", " REPORTS_FROM", " UNTIL", " PUBLISHED_ON", " PUBLISHED_AT", " UNTIL", " UNTIL_DATE", " END_DATE", " PUBLISHER", " TAKEN_BY", " TAKEN_PHOTOS_OF", " TAKEN_PHOTO_OF", " TAKEN_AT_LOCATION", " TAKEN_AT_LOCATION", " TAKEN_PHOTOS_AT", " TAKES_PHOTO_OF", " TAKEN_PLACE_DURING", " PUBLISHED_ON\n\n Explanation:\n The text ment", " TAKES_PHOTO_OF", " CLOSED_BY", " CLOSED_BY", " PROVIDES_INFORMATION", " PUBLISHED_IN", " FORECAST_FOR_PERIOD", " FEEDS_IN_FROM", " LOCATION_IN_REGION", " UNTIL", " ICE_EVENT_ON_DATE", " PHOTOGRAPHED_AT", " UNTIL", " UNTIL_DATE", " TAKES_PLACE_ON", " COVERED_BY", " EDITOR_OF", " TAKEN_PHOTOS_OF", " TAKEN_PHOTO_OF", " TAKEN_PHOTO_AT", " TAKEN_PHOTO_AT", " TAKEN_PHOTO_OF", " TAKEN_PHOTO_AT", " TOKEN_SEQUENCE_BEFORE_HEAD_ENTITY: ['A yellow weather", " TAKEN_PHOTOS_OF", " TAKEN_PHOTOS_AT", " CLOSED_BY", " CLOSED_BY", " SPOKE_FOR", " PHOTOGRAPHER_FROM_LOCATION", " FORECAST_FOR_PERIOD", " SNOW_FEEDS_IN_FROM", " LOCATION_OF\n or\n LOCATED_IN\n\n Ex", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " TAKEN_BY", " TAKEN_BY", " NEAR.", " NEAR.", " NEAR.", " ROAD\n\n Explanation:\n The text mentions that the A1", " ROAD\n\n Explanation:\n The text mentions that the A1", " CLOSED_BY", " CLOSED_BY", " ISSUE_WARNING", " LOCATION_IN.", " S Snow_feeds_in_from\n or\n NO_RELATION", " NEARBY", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " TAKEN_BY", " TAKEN_BY", " NEAR.", " NEAR.", " NEAR.", " NEAR. This text mentions that the Scarborough Road is near Whitby.", " FROM_LOCATION_TO_LOCATION", " CLOSED_BY\n\n Explanation:\n The text mentions that", " CLOSED_BY", " PROVIDES_INFO\n\n Explanation:\n The Met Office provides information about", " LOCATION_IN.", " FEEDS_IN_FROM", " LOCATION_NEARBY", " UNTIL", " NEAR. This text mentions that the images were taken near Harwood Dale, so the", " FROM_TIME", " UNTIL", " UNTIL", " END_DATE", " LOCATION_OF\n\n Entities: \n [{'head': ['", " TAKEN_BY", " TAKEN_BY", " LOCATION_NEAR.", " NEAR.", " NEAR.", " NEAR.", " NEAR.", " CLOSED_DURING", " CLOSED_BY", " NEAR.", " CLOSED_BY", " CLOSED_BY", " LOCATION_OF\n or\n LOCATION_MENTIONED_IN", " LOCATION_IN.", " TIME_PERIOD_DURING.", " FEEDS_IN_FROM", " LOCATION_NEARBY", " UNTIL", " NEAR. This text mentions that the images were taken near Ravenscar, and today", " FROM_TIMES_OF_DAY", " UNTIL", " UNTIL", " END_DATE", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " TAKEN_BY", " TAKEN_BY", " NEAR.", " NEAR.", " NEAR.", " NEAR.", " LOCATION_NEARBY", " CLOSED_DURING", " NEAR. This text mentions that the images were taken near the A169,", " NEAR.", " CLOSED_BY\n\n Explanation:\n The text mentions that", " NEARBY", " WEATHER_FORECAST_FOR_LOCATION", " LOCATION_IN.", " TIME_PERIOD_DURING.", " NEAR_BODY_OF_WATER", " LOCATION_IN_LOCATION", " END_TIME", " LOCATION_ON_DATE", " BEFORE", " END_TIME_OF\n\n Explanation:\n The text mentions that", " LOCATION_IN_TIME", " LOCATED_ON", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n or\n PHOTOGRAPHED_AT\n", " TAKEN_BY", " LOCATION_NEAR.", " LOCATION_PART_OF \n or\n NEAR_PLACE ", " NEAR.", " NEAR.", " LOCATION_NEARBY", " OCCURRED_DURING", " NEARBY", " LOCATION_NEARBY", " NEARBY", " NEARBY", " LOCATION_OF\n or\n LOCATED_AT\n or\n", " LOCATION_IN.", " TIME_IN_PERIOD", " NEAR_BODY_OF_WATER", " LOCATION_IN_LOCATION", " END_TIME", " YEAR_WITHIN_DATE\n\n Explanation:\n The text ment", " FROM_TIME", " END_TIME", " END_DATE", " END_DATE", " PUBLISHER_OF\n\n Entities: \n [{'head", " The Yorkshire Post’s CountryWeek editor, Emma Ryan, took the images.", " TAKEN_BY", " LOCATION_ON_LOCATION", " NEAR.", " NEAR.", " NEAR.", " LOCATION_NEARBY", " CLOSED_BY\n\n Explanation:\n The context indicates that R", " LOCATION_NEARBY", " SAME_LOCATION", " BETWEEN. This text mentions that the A169 between Whitby and", " CLOSED_BY", " LOCATION_OF\n or\n REPORTED_BY\n or\n", " LOCATION_IN.", " FORECAST_FOR", " FEEDS_IN_FROM", " LOCATION_IN_LOCATION", " PREVIOUSLY_WORKED_FOR", " TAKEN_PHOTOS_BY", " TOKEN_SEQUENCE_MATCH\n\n Explanation:\n The", " CLOSED_BY\n\n Explanation:\n The context mentions that", " CLOSED_BY", " OCCURRED_IN", " CLOSED_BY", " CLOSED_BY\n\n Explanation:\n The context mentions that", " CLOSED_BY", " CLOSED_BY", " SPOKE_FOR", " OCCURRED_IN", " FEEDS_IN_FROM", " SNOW_ON_MOUNTAIN", " CLOSED_BY", " CLOSED_BY", " TAKEN_PHOTOS_OF", " CLOSED_BY", " CLOSED_BY", " NEARBY", " LOCATION_CONNECTED_BY_ROAD", " LOCATION_CONNECTED_BY_ROAD", " CLOSED_BY", " CLOSED_BY", " SPOKE_FOR", " LOCATION_NEARBY", " FEEDS_IN_FROM", " CLOSED_BY_LOCATION", " END_TIME", " YEAR_WITHIN_DATE\n\n Explanation:\n The text ment", " FROM_TIME", " END_TIME", " END_DATE", " END_DATE", " LOCATION_OF\n\n Entities: \n [{'head': ['", " The Yorkshire Post’s CountryWeek editor, Emma Ryan, took the images.", " TAKEN_BY", " LOCATION_OF\n\n Entities: \n [{'head': ['", " NEAR.", " NEAR.", " NEAR.", " NEARBY", " SAME_LOCATION", " CLOSED_BY\n\n Explanation:\n The context indicates that R", " LOCATION_CLOSE_TO\n\n Explanation:\n The text", " BETWEEN. This text mentions that the A169 between Whitby and", " CLOSED_BY", " LOCATION_OF\n or\n REPORTED_BY\n or\n", " LOCATION_IN.", " FORECAST_FOR", " FEEDS_IN_FROM", " LOCATION_IN_LOCATION", " CLOSES_AT", " CLOSED_BY\n\n Explanation:\n The context mentions that", " CLOSED_BY", " CLOSES_AT", " CLOSE_IN_TIME", " CLOSES_ON", " CLOSED_BY", " CLOSED_BY", " CREATED_BY", " CLOSED_BY", " NEARBY", " CLOSE_TO", " NEARBY", " NEARBY", " BETWEEN\n\n Explanation:\n The text mentions that the", " CLOSED\n\n Explanation:\n The context states that \"Overnight", " CLOSED_BY", " BETWEEN", " CLOSED_BY", " SPOKE_FOR", " NEARBY", " FUTURE_TIME_FROM_TO_TIME_PERIOD", " NEARBY_BODY_OF_WATER", " NEARBY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " TAKEN_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " CLOSED_BY", " SPEAKS_FOR", " CLOSED_BY", " CLOSES_IN_TIME_PERIOD", " CAUSES\n\n Explanation:\n RAF Fylingdales", " CAUSES\n\n Explanation:\n RAF Fylingdales", " EXPIRES_AT", " ISSUED_WARNING", " ISSUED.", " EXPIRES_AT", " FORECAST_FOR_DATE", " EXPIRATION_DATE_FOR_WARNING_ISSUED_BY", " SPEAKS_FOR", " MENTIONED_IN.", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " ISSUES_WARNING_FOR\n\n Entities: \n [{'head", " WEATHER_AFFECTS_ROAD", " LOCATION_MENTIONED_IN.", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Explanation:\n The text mentions that", " ISSUES_WARNING_FOR\n\n Explanation:\n The Met Office", " ISSUED.", " ROAD_CLOSED_BY", " ISSUES_FROM", " CLOSED_BY", " ISSUE_WARNING_FOR\n\n Explanation:\n The Met Office", " ISS_FOR\n\n Explanation:\n The Met Office is issuing", " FORECAST_FOR_PERIOD", " FEEDS_IN_FROM", " WEATHER_FORECAST_FOR\n or\n ISSUES_WARNING_", " FORECAST_FOR_TIME", " LOCATION_IN_REGION", " FORECAST_FOR_TIME", " UNTIL", " FORECASTED_FOR", " LOCATION_IN_REGION", " LOCATION_OF\n\n Explanation:\n The text mentions \"", " PUBLISHES", " TAKEN_BY", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_PART_OF\n\n Explanation:\n The text ment", " LOCATION_PART_OF\n\n Explanation:\n The text ment", " LOCATION_IN.", " LOCATION_PART_OF\n\n Explanation:\n The text ment", " LOCATION_IN.", " FORECAST_FOR_PERIOD", " LOCATION_PART_OF\n\n Explanation:\n The text ment", " LOCATION_IN.", " The Yorkshire region includes Pickering.", " CLOSED_BY", " FORECAST_FOR", " FORECAST_FOR", " FEEDS_IN_FROM", " LOCATION_IN_LOCATION", " PUBLISHER_OF\n\n Entities: \n [{'head", " PUBLISHED_BY", " TAKEN_BY", " SNOW_EVENT_LOCATION", " LOCATION_IN.", " LOCATION_IN.", " LOCATION_IN_REGION", " LOCATION_IN_REGION", " CLOSED_BY\n\n Explanation:\n The context mentions that", " CLOSED_BY", " FORECAST_FOR\n\n Explanation:\n The Met Office is forecast", " FORECAST_FOR", " FEEDS_IN_FROM", " SNOW_EVENT_LOCATION", " END_TIME_OF\n\n Explanation:\n The text mentions that", " FEEDS_IN_FROM", " FEEDS_IN_FROM", " FEEDS_INTO", " FEEDS_INTO", " FEEDS_IN_FROM", " FEEDS_IN.", " FEEDS_IN.", " FEEDS_IN.", " FEEDS_IN_FROM", " FEEDS_IN_FROM", " S snow_feeds_in_from\n\n Explanation:\n The", " NORTH_SEA_FEEDS_IN_TO_RAVENSCar", " NEARBY", " FEEDS_IN_FROM", " S snow_feeds_in_from\n or\n S snow_comes_", " FEEDS_IN_FROM", " FEEDS_IN_FROM", " NORTH_SEA_CLOSES_ROAD_PICKERING", " NEARBY_LOCATION", " FEEDS_IN_FROM", " FEEDS_INTO", " FEEDS_IN_FROM", " FEEDS_IN_FROM", " HIGHER_ELEVATION_LOCATION_HAS_TIME_BOUNDARY", " SNOW_ON_MOUNTAIN_OR_MOOR_TODAY", " SNOW_ON_MOUNTAIN_BEFORE\n\n Explanation", " LOCATION_WITHIN_TIME_PERIOD", " HIGHER_ELEVATION_LOCATION_FOR_DATE", " LOCATION_IN_REGION", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_OF\n or\n The location of CountryWeek is the North York", " TAKEN_PHOTOS_OF", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_NEAR.", " NEARBY", " LOCATION_IN. This indicates that Ravenscar is a location within the North York", " LOCATION_IN. 'Stainsacre' is located 'in' the 'N", " LOCATION_NEARBY\n\n Explanation:\n The text ment", " CAUSED_BY", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_NEARBY\n\n Explanation:\n The text ment", " NEARBY", " NEARBY\n\n Explanation:\n The text mentions that RAF", " FORECAST_FOR_LOCATION", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SUBJECT_OF_EVENT_STARTS_ON_DATE_RANGE", " NORTH_OF" ]

[ [ "12", "14", "TIME", "11am" ], [ "14", "15", "DATE", "today" ], [ "17", "20", "TIME", "5pm today" ], [ "21", "23", "TIME", "11am" ], [ "23", "24", "DATE", "tomorrow" ], [ "25", "27", "DATE", "Nov 30" ], [ "35", "39", "ORG", "The Yorkshire Post’s" ], [ "39", "40", "ORG", "CountryWeek" ], [ "41", "43", "PERSON", "Emma Ryan" ], [ "45", "48", "FAC", "the A171 Whitby" ], [ "49", "51", "FAC", "Scarborough Road" ], [ "52", "54", "GPE", "Harwood Dale" ], [ "55", "56", "GPE", "Ravenscar" ], [ "60", "61", "GPE", "Stainsacre" ], [ "68", "69", "GPE", "Whitby" ], [ "71", "72", "TIME", "Overnight" ], [ "73", "76", "FAC", "the A169 between" ], [ "76", "77", "GPE", "Whitby" ], [ "78", "79", "GPE", "Pickering" ], [ "82", "84", "ORG", "RAF Fylingdales" ], [ "94", "97", "ORG", "the Met Office" ], [ "107", "108", "GPE", "Yorkshire" ], [ "110", "114", "DATE", "the next few days" ], [ "122", "125", "LOC", "the North Sea" ], [ "155", "159", "LOC", "the North York Moors" ] ]

[ "Our Fall Arts Jam program is running Mondays at the Milton Day Program. This is an enriching and therapeutic art program for Deaf and hard of hearing adults with developmental disabilities. The cost is $350 ($50 a session) which covers supplies and teaching costs. Please email Tiffany to register or with questions- email@example.com.\nSee here for more details\nPlease click here for more information. Take advantage of early bird fee! Save $75. Early bird fee deadline: Monday, April 8th." ]

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[ " RUNS_AT", " CONTACT_INFO", " RUNS_ON", " SERVES_COMMUNITY", " COSTS\n Or, if no relation exists:\n NO_RELATION", " COSTS\n\n Explanation:\n The Milton Day Program costs $", " CONTACT_INFO", " DISCOUNT\n\n Explanation:\n The text mentions that there is a", " DEADLINE", " RUN_AT.", " CONTACT_INFO", " FEE_FOR_SERVICE", " CONTACT_INFO", " PAYS_FOR\n\n Explanation:\n The text states that the", " CONTACT_EMAIL", " REGISTRATION_FOR\n ['Tiffany', 'Mondays']", " RUNS_AT.", " CONTACT_PERSON_FOR_ORGANIZATION", " CONTACT_INFO\n\n Explanation:\n The text mentions that", " CONTACT_INFO\n\n Explanation:\n The text mentions that", " DISCOUNT\n\n Explanation:\n The text mentions that there is a", " DEADLINE", " FUNDING", " CONTACT_INFO", " DEADLINE_FOR_EVENT\n or\n EVENT_HAS_DEADLINE", " EMAIL_ADDRESS\n\n Explanation:\n The text mentions that you" ]

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[ "- Publish Date\n- Monday, 3 July 2017, 3:00PM\nHow freaking cool would this be?\nJosh Homme, along with wife Brody Dalle and supergroup producer Butch Vig played the after party of a Sixth Grade Graduation After Party.\nCheck out their performance of a cover of Cheap Trick's \"Surrender\".\nTake your Radio, Podcasts and Music with you" ]

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[ " PERFORMED_AT", " ATTENDED_EVENT", " PLAYED_AT", " PERFORMED_AT", " PLAYED_AT", " PLAYED_AT", " PLAYED_MUSIC_WITH", " PERFORMED_AT", " PLAYED_AT", " PLAYED_AT", " SPOUSE", " PLAYED_MUSIC_WITH", " PLAYED_AT\n\n Explanation:\n The text mentions that", " PERFORMED_MUSIC_BY", " PERFORMED", " ATTENDED\n\n Explanation:\n The text states that \"Bro", " PLAYED_AT", " MARRIED_SPOUSE", " PLAYED_MUSIC_WITH", " PLAYED_AT\n\n Explanation:\n The text mentions that", " PERFORMED_MUSIC_BY\n\n Explanation:\n The", " SINGER_OF\n or\n PERFORMED\n\n Explanation", " PLAYED_AT", " PLAYED_AT", " PLAYED_MUSIC_WITH", " MARRIED", " PLAYED_AT", " PLAYED_MUSIC_FOR\n\n Explanation:\n But", " PRODUCED", " PLAYED_AT\n\n Explanation:\n The text mentions that", " ATTENDED_EVENT", " PLAYED_AT\n\n Explanation:\n The text mentions that", " PERFORMED_MUSIC_BY", " PERFORMED_AT", " PERFORMED_AT", " PLAYED_MUSIC_FOR\n\n Explanation:\n The", " PLAYED_MUSIC_WITH", " PLAYED_MUSIC_WITH", " PERFORMED_AT", " PERFORMED_MUSIC_WORK_OF_ART", " PERFORMED", " SINGS \n\n Explanation:\n The text mentions that Bro", " PLAYED_MUSIC_WITH", " PERFORMED_MUSIC_BY" ]

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[ "Interview with Johanne Hestvold here: https://vimeo.com/119316093 (Norwegian language). More works of art at: http://johannehestvold.com/\nFrom the Astrup Fearnley Museum presentation of the exhibition NN-A NN-A NN-A – New Norwegian Abstraction\n\"In recent years one could observe the field of abstraction developing into one of the most dominating trends on both the international and the Norwegian contemporary art scene. A century long history of abstract art has been infused with new energy by artists who through their knowledge and personal artistic experience not only have embraced the various principles of modernist abstraction, but also movements such as minimalism, conceptual art, Fluxus and land art. This has furnished them with new tools to relate to, and allowed them to re-invent abstract art\"." ]

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[ "East West Best, Inc (EWB) is an Asian based company specializing in producing and promoting concert & theatrical attractions throughout Asia and the United States.\nFounded in 2000 by Ms. Mavis Ma. EWB operate from offices in both New York, and Beijing, China. Ms. Ma has many years of experience working in China, South Korea and Taiwan. Ms. Ma has been active in the Asian entertainment marketplace since 1992 and has produced or presented over 40 Western and Asian events." ]

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"NORP", "Asian" ] } ], [ { "head": [ "63", "65", "GPE", "South Korea" ], "tail": [ "79", "80", "DATE", "1992" ] } ], [ { "head": [ "63", "65", "GPE", "South Korea" ], "tail": [ "86", "87", "CARDINAL", "40" ] } ], [ { "head": [ "63", "65", "GPE", "South Korea" ], "tail": [ "87", "88", "NORP", "Western" ] } ], [ { "head": [ "63", "65", "GPE", "South Korea" ], "tail": [ "89", "90", "NORP", "Asian" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "0", "5", "ORG", "East West Best, Inc" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "6", "7", "ORG", "EWB" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "10", "11", "NORP", "Asian" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "23", "24", "LOC", "Asia" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "25", "28", "GPE", "the United States" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "32", "33", "DATE", "2000" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "35", "37", "PERSON", "Mavis Ma" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "38", "39", "ORG", "EWB" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "44", "46", "GPE", "New York" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "48", "49", "GPE", "Beijing" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "50", "51", "GPE", "China" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "53", "54", "PERSON", "Ma" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "55", "57", "DATE", "many years" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "61", "62", "GPE", "China" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "63", "65", "GPE", "South Korea" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "69", "70", "PERSON", "Ma" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "75", "76", "NORP", "Asian" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "79", "80", "DATE", "1992" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "86", "87", "CARDINAL", "40" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "87", "88", "NORP", "Western" ] } ], [ { "head": [ "66", "67", "GPE", "Taiwan" ], "tail": [ "89", "90", "NORP", "Asian" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "0", "5", "ORG", "East West Best, Inc" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "6", "7", "ORG", "EWB" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "10", "11", "NORP", "Asian" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "23", "24", "LOC", "Asia" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "25", "28", "GPE", "the United States" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "32", "33", "DATE", "2000" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "35", "37", "PERSON", "Mavis Ma" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "38", "39", "ORG", "EWB" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "44", "46", "GPE", "New York" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "48", "49", "GPE", "Beijing" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "50", "51", "GPE", "China" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "53", "54", "PERSON", "Ma" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "55", "57", "DATE", "many years" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "61", "62", "GPE", "China" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "63", "65", "GPE", "South Korea" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "66", "67", "GPE", "Taiwan" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "75", "76", "NORP", "Asian" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "79", "80", "DATE", "1992" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "86", "87", "CARDINAL", "40" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "87", "88", "NORP", "Western" ] } ], [ { "head": [ "69", "70", "PERSON", "Ma" ], "tail": [ "89", "90", "NORP", "Asian" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "0", "5", "ORG", "East West Best, Inc" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "6", "7", "ORG", "EWB" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "23", "24", "LOC", "Asia" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "25", "28", "GPE", "the United States" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "35", "37", "PERSON", "Mavis Ma" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "38", "39", "ORG", "EWB" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "44", "46", "GPE", "New York" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "48", "49", "GPE", "Beijing" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "50", "51", "GPE", "China" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "53", "54", "PERSON", "Ma" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "61", "62", "GPE", "China" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "63", "65", "GPE", "South Korea" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "66", "67", "GPE", "Taiwan" ] } ], [ { "head": [ "75", "76", "NORP", "Asian" ], "tail": [ "69", "70", "PERSON", "Ma" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "0", "5", "ORG", "East West Best, Inc" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "6", "7", "ORG", "EWB" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "23", "24", "LOC", "Asia" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "25", "28", "GPE", "the United States" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "35", "37", "PERSON", "Mavis Ma" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "38", "39", "ORG", "EWB" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "44", "46", "GPE", "New York" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "48", "49", "GPE", "Beijing" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "50", "51", "GPE", "China" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "53", "54", "PERSON", "Ma" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "61", "62", "GPE", "China" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "63", "65", "GPE", "South Korea" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "66", "67", "GPE", "Taiwan" ] } ], [ { "head": [ "79", "80", "DATE", "1992" ], "tail": [ "69", "70", "PERSON", "Ma" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "0", "5", "ORG", "East West Best, Inc" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "6", "7", "ORG", "EWB" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "23", "24", "LOC", "Asia" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "25", "28", "GPE", "the United States" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "35", "37", "PERSON", "Mavis Ma" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "38", "39", "ORG", "EWB" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "44", "46", "GPE", "New York" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "48", "49", "GPE", "Beijing" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "50", "51", "GPE", "China" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "53", "54", "PERSON", "Ma" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "61", "62", "GPE", "China" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "63", "65", "GPE", "South Korea" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "66", "67", "GPE", "Taiwan" ] } ], [ { "head": [ "86", "87", "CARDINAL", "40" ], "tail": [ "69", "70", "PERSON", "Ma" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "0", "5", "ORG", "East West Best, Inc" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "6", "7", "ORG", "EWB" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "23", "24", "LOC", "Asia" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "25", "28", "GPE", "the United States" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "35", "37", "PERSON", "Mavis Ma" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "38", "39", "ORG", "EWB" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "44", "46", "GPE", "New York" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "48", "49", "GPE", "Beijing" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "50", "51", "GPE", "China" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "53", "54", "PERSON", "Ma" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "61", "62", "GPE", "China" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "63", "65", "GPE", "South Korea" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "66", "67", "GPE", "Taiwan" ] } ], [ { "head": [ "87", "88", "NORP", "Western" ], "tail": [ "69", "70", "PERSON", "Ma" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "0", "5", "ORG", "East West Best, Inc" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "6", "7", "ORG", "EWB" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "23", "24", "LOC", "Asia" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "25", "28", "GPE", "the United States" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "35", "37", "PERSON", "Mavis Ma" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "38", "39", "ORG", "EWB" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "44", "46", "GPE", "New York" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "48", "49", "GPE", "Beijing" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "50", "51", "GPE", "China" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "53", "54", "PERSON", "Ma" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "61", "62", "GPE", "China" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "63", "65", "GPE", "South Korea" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "66", "67", "GPE", "Taiwan" ] } ], [ { "head": [ "89", "90", "NORP", "Asian" ], "tail": [ "69", "70", "PERSON", "Ma" ] } ] ]

[ " SAME_AS", " SPECIALIZES_IN", " SPECIALIZES_IN", " SPECIALIZES_IN\n\n Explanation:\n The text states that", " FOUNDED_BY_YEAR", " FOUNDER", " SAME_AS", " ESTABLISHES_OFFICE", " ESTABLISHES_OFFICE", " 'ASIA_BASED_IN'", " FOUNDER", " FOUNDING_DATE", " 'BASED_IN'", " Ms. Ma has experience in.\n Therefore, the relation label is EXPERIENCE", " PRODUCED_IN", " FOUNDER", " SPECIALIZES_IN", " PRODUCED_SINCE", " PRODUCED_X_Y\n or\n PRESENTED_X", " PRODUCES", " SPECIALIZES_IN", " SELF_REFERENCE", " SPECIALIZES_IN", " SPECIALIZES_IN", " SPECIALIZES_IN\n\n Explanation:\n EWB special", " FOUNDED_BY_DATE", " FOUNDED_BY", " SAME_ORGANIZATION", " OPERATE_FROM.", " OPERATE_FROM.", " 'BASED_IN'", " FOUNDER", " EXPERIENCE_WITH_DURATION", " 'BASED_IN'", " MS_MA_HAS_WORKED_IN\n\n Explanation:\n ", " Ms. Ma has experience in (has experience in the country)\n Therefore, the relation", " FOUNDER", " SPECIALIZES_IN", " ACTIVE_SINCE", " PRODUCED_X_Y\n or\n PRESENTED_X", " PRODUCES", " SPECIALIZES_IN", " SPECIALIZES_IN", " 'IS_BASED_IN'", " SPECIALIZES_IN", " BASED_IN.", " FOUNDED_BY", " 'IS_BASED_IN'", " ESTABLISHED_IN", " ESTABLISHED_IN", " SPECIALIZES_IN\n\n Explanation:\n The text states that", " FOUNDER", " SPECIALIZES_IN\n\n Explanation:\n The text states that", " Ms. Ma has experience in.\n Therefore, the relation label is EXPERIENCE", " PRODUCED_IN", " FOUNDER", " LOCATED_IN", " BASED_IN.", " SPECIALIZES_IN", " PRODUCES_IN", " FOUNDED_IN", " FOUNDED_BY", " BASED_IN", " ESTABLISHES_OFFICE", " ESTABLISHES_OFFICE", " SPECIALIZES_IN", " FOUNDED_BY", " BACKGROUND", " BASED_IN", " Ms. Ma has experience in.\n Therefore, the label for the relation is EXPER", " Ms_Ma_has_experience_in\n\n Explanation:\n ", " FOUNDED_BY", " SPECIALIZES_IN", " ACTIVE_SINCE", " PRODUCED_X_Y\n or\n PRESENTED_X", " PRODUCES_OR_PRESENTS", " SPECIALIZES_IN", " BASED_IN.", " BASED_IN.", " BASE_IN\n\n Explanation:\n The text states that East West", " PRODUCES_IN\n\n Explanation:\n The text states that", " FOUNDED_IN.", " FOUNDED_BY", " BASED_IN.", " ESTABLISHES_OFFICE", " ESTABLISHES_OFFICE_IN", " OPERATES_IN.", " FOUNDED_BY", " BACKGROUND_EVENT_STARTED_AT_TIMES\n\n Explan", " OVERSEAS_OPERATIONS_IN_LOCATIONS", " Ms_Ma_has_experience_in\n\n Explanation:\n ", " PRODUCED_IN.", " FOUNDED_BY", " BASE_IN\n\n Explanation:\n The text states that East West", " Ms_Ma_has_been_active_since\n OR\n Ms_", " PRODUCED_X_EVENTS_Y\n or\n PRESENT", " PRODUCES_IN.", " BASE_IN\n\n Explanation:\n The text states that \"E", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED_IN", " FOUNDED_IN", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED_IN", " FOUNDED_IN", " FOUNDED_IN", " FOUNDED_BY", " FOUNDED_IN", " MS_MA_FOUNDED_IN\n OR\n MS_MA_HAS", " FOUNDED_IN", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED_BY", " FOUNDER_OF", " SPECIALIZES_IN", " BASED_IN.", " FOUNDED_BY", " FOUNDED_BY", " OPERATES_FROM", " OWNER\n\n Explanation:\n The text states that Mavis Ma", " FOUNDER_IN_COUNTRY", " SAME_PERSON", " HAS_EXPERIENCE", " FOUNDER_IN_COUNTRY", " HAS_WORKED_IN", " HAS_EXPERIENCE_IN", " SAME_PERSON", " FOUNDER_OF", " ACTIVE_SINCE", " HAS_PRODUCED\n\n Explanation:\n The text states", " HAS_PRODUCED", " FOUNDER_OF", " SAME_AS", " SAME_ORGANIZATION", " SPECIALIZES_IN", " SPECIALIZES_IN", " SPECIALIZES_IN_COUNTRY", " FOUNDED_BY_DATE", " FOUNDED_BY", " OPERATE_FROM.", " OPERATE_IN.", " 'BASED_IN'", " FOUNDER", " EXPERIENCE_WITH_DURATION", " 'BASED_IN'", " Ms. Ma has experience in.\n The correct answer is: EXPERIENCE_", " PRODUCED_IN", " FOUNDER", " SPECIALIZES_IN", " ACTIVE_SINCE", " FOUNDED_BY", " PRODUCES", " SPECIALIZES_IN", " 'LOCATION_OF'", " OFFICE_LOCATED_IN", " OFFICE_LOCATION", " OPERATE_IN.", " 'HEAD_LOCATED_IN'", " FOUNDED_IN", " OPERATES_FROM", " ESTABLISHES_OFFICE", " OFFICE_LOCATION", " ESTABLISHES_OFFICE_IN", " OPERATES_FROM", " OPERATE_FROM", " OFFICE_LOCATION", " Ms. Ma has experience in.\n Therefore, the relation label is EXPERIENCE", " PRODUCES_IN", " OPERATE_FROM", " OFFICE_LOCATION", " BACKGROUND_EVENT_STARTED_AT_TIMESTAMP", " OFFICE_LOCATED_IN", " OFFICE_LOCATED_IN", " OFFICE_LOCATION", " OPERATES_FROM", " OPERATE_FROM.", " LOCATED_IN", " OPERATE_IN", " OPERATES_IN.", " FOUNDED_IN", " FOUNDED_BY", " OPERATE_FROM", " OFFICE_LOCATION", " LOCATION_IN.", " OWNER", " OCCURRED_IN", " LOCATION_IN.", " Ms. Ma has experience in.\n The correct answer is: EXPERIENCE_", " OPERATES_IN", " OPERATES_FROM", " LOCATED_IN", " Ms_Ma_has_been_active_since\n or\n Ms_", " OFFICE_LOCATED_IN", " OPERATE_IN.", " LOCATED_IN", " BASED_IN", " BASED_IN", " LOCATION_IN.", " BASED_IN.", " OVERSEAS_OPERATIONS_IN_LOCATIONS", " FOUNDED_IN", " FOUNDER", " BASED_IN", " OFFICE_LOCATION", " LOCATION_IN.", " FOUNDED_BY", " Ms_Ma_has_experience_in_China_for_many_year", " OPERATE_IN", " MS_MA_HAS_WORKED_IN\n\n Explanation:\n ", " PRODUCED_IN", " FOUNDER", " LOCATION_IN.", " ACTIVE_SINCE", " PRODUCED_X_NUMBER_OF_EVENTS", " PRODUCES_OR_PRESENTS", " LOCATION_IN.", " FOUNDED_BY", " FOUNDED_BY", " FOUNDER_OF\n Or\n ORGANIZATION_OF\n ", " SPECIALIZES_IN", " BASED_IN.", " FOUNDED_BY", " FOUNDER", " FOUNDED_BY", " OPERATE_FROM.", " OPERATES_IN", " FOUNDED_IN", " HAS_EXPERIENCE_FOR_DURATION", " FOUNDED_IN", " HAS_WORKED_IN", " HAS_EXPERIENCE_IN", " FOUNDER", " FOUNDER_OF\n Or\n ORGANIZATION_OF\n ", " ACTIVE_SINCE", " HAS_PRODUCED\n\n Explanation:\n The relation H", " HAS_PRODUCED", " FOUNDER_OF\n ORGANIZATION_OF\n ORGAN", " FOUNDER", " FOUNDER", " HAS_EXPERIENCE_IN", " BASED_IN.", " HAS_EXPERIENCE", " FOUNDER", " OPERATE_FROM.", " Ms_Ma_has_office_in\n or\n EWB_", " Ms_Ma_has_experience_in_China.", " HAS_EXPERIENCE", " Ms_Ma_has_experience_in_China.", " EXPERIENCED_IN", " Ms_Ma_has_experience_in\n\n Explanation:\n ", " HAS_EXPERIENCE", " BASED_IN", " BASED_IN", " LOCATION_IN.", " BASED_IN.", " OVERSEAS_OPERATIONS_IN_LOCATIONS", " FOUNDED_IN", " FOUNDED_BY", " BASED_IN", " OFFICE_LOCATION", " LOCATION_IN.", " OPERATE_IN", " FOUNDED_BY", " Ms_Ma_has_experience_in_China_for_many_year", " MS_MA_HAS_WORKED_IN\n or\n MS_MA_", " PRODUCED_IN", " FOUNDED_BY", " LOCATION_IN.", " ACTIVE_SINCE", " PRODUCED_X_EVENTS_Y\n or\n PRESENT", " PRODUCES_OR_PRESENTS", " LOCATION_IN.", " Ms. Ma has experience in.\n The correct answer is: EXPERIENCE_", " Ms. Ma has worked in.\n The relation label should be 'WORKED_IN", " Ms. Ma has experience in.\n The correct label for this relation is: HAS", " Ms. Ma has experience in.\n The correct answer is: EXPERIENCE_", " PRODUCES_IN.", " FOUNDED_BY_DATE", " HAS_WORKED_IN", " Ms_Ma_has_experience_in\n\n Explanation:\n ", " OFFICE_LOCATION", " Ms. Ma has experience in.\n The correct answer is: 'EXPERIENCE", " Ms. Ma has experience in.\n The correct answer is: EXPERIENCE_", " WORKED_IN.", " Ms_Ma_has_experience_in_South_Korea.", " Ms_Ma_has_worked_in.\n This relation indicates that Ms.", " Ms. Ma has experience in.\n The correct answer is: EXPERIENCE_", " HAS_WORKED_IN", " Ms. Ma has experience in.\n The correct answer is: EXPERIENCE_", " ACTIVE_IN.", " PRODUCED_IN.", " PRODUCED_IN.", " Ms. Ma has experience in.\n The relation label for this text would be EXPER", " Ms. Ma is from Taiwan.\n\n Therefore, the relation label is: FROM.", " FOUNDED_BY", " Ms. Ma has experience from.\n The relation label for this text would be: EX", " Ms. Ma has produced or presented events in Asia.\n\n Therefore, the relation label", " PRODUCES_IN.", " FOUNDED_IN", " HAS_FOUNDER", " Ms_Ma_is_from_Taiwan\n OR\n Ms_Ma", " OFFICE_LOCATION", " OFFICE_LOCATION", " Ms_Ma_has_experience_in\n\n Explanation:\n ", " HAS_FOUNDER", " Ms_Ma_has_experience_in_Taiwan_since_many_", " Ms_Ma_has_experience_in\n or\n EWB_", " Ms_Ma_has_experience_in\n\n Explanation:\n ", " HAS_FOUNDER", " Ms. Ma has experience from.\n The relation label should be 'FROM'.", " ACTIVE_SINCE", " PRODUCED_X_EVENTS_Y\n or\n PRESENT", " PRODUCED_IN.", " Ms. Ma has experience from.\n The relation label for this text would be: EX", " FOUNDED_BY", " FOUNDED_BY", " FOUNDER_OF\n ORGANIZATION_OF\n ORGAN", " SPECIALIZES_IN", " BASED_IN.", " FOUNDED_BY", " FOUNDER", " FOUNDED_BY", " OPERATES_FROM", " OPERATES_IN", " FOUNDED_IN", " FOUNDER", " HAS_EXPERIENCE", " FOUNDED_IN", " HAS_WORKED_IN", " HAS_WORKED_IN\n\n Explanation:\n The text states", " FOUNDER_OF\n ORGANIZATION_OF\n ORIGIN", " ACTIVE_SINCE", " HAS_PRODUCED\n\n Explanation:\n The given text", " HAS_PRODUCED", " FOUNDER_OF\n Or\n ORGANIZATION_OF\n ", " SPECIALIZES_IN", " IS_BASED_IN.", " SPECIALIZES_IN", " BASE_IN\n\n Explanation:\n The text states that East West", " FOUNDED_BY", " IS_BASED_IN.", " ESTABLISHES_OFFICE", " ESTABLISHED_IN", " SPECIALIZES_IN\n\n Explanation:\n The text states that", " FOUNDER", " SPECIALIZES_IN\n\n Explanation:\n The text states that", " Ms_Ma_has_experience_in\n\n Explanation:\n ", " Ms. Ma has experience in (has_experience_with) Taiwan.", " FOUNDED_BY", " PRODUCED_SINCE", " PRODUCED_SINCE", " ACTIVE_IN", " ACTIVE_IN.", " ACTIVE_SINCE", " PRODUCED_SINCE", " OPERATE_FROM", " ACTIVE_IN", " ACTIVE_IN", " ACTIVE_SINCE", " ACTIVE_IN", " ACTIVE_IN.", " ACTIVE_IN", " ACTIVE_SINCE", " FOUNDED_BY", " FOUNDED_BY", " PRODUCES_IN", " PRODUCES_IN.", " FOUNDER", " FOUNDED_BY", " OPERATE_FROM.", " OPERATE_IN.", " SPECIALIZES_IN", " FOUNDED_BY", " SPECIALIZES_IN", " PRODUCED_IN", " PRODUCED_IN", " FOUNDED_BY", " PRODUCED_BY", " FOUNDED_BY", " PRODUCES_IN", " BASED_IN.", " FOUNDED_BY", " FOUNDED_BY", " ESTABLISHES_OFFICE", " ESTABLISHES_OFFICE", " SPECIALIZES_IN_COUNTRY", " FOUNDER", " SPECIALIZES_IN_COUNTRY", " PRODUCED_IN.", " PRODUCED_IN", " FOUNDED_BY", " SPECIALIZES_IN", " IS_BASED_IN.", " SPECIALIZES_IN", " BASED_IN.", " FOUNDER", " IS_BASED_IN", " ESTABLISHED_IN", " ESTABLISHED_IN", " SPECIALIZES_IN\n\n Explanation:\n The text states that", " FOUNDER", " SPECIALIZES_IN\n\n Explanation:\n The text states that", " MS_MA_HAS_WORKED_IN\n Or\n NO_RELATION", " PRODUCED_IN", " FOUNDER" ]

[ [ "0", "5", "ORG", "East West Best, Inc" ], [ "6", "7", "ORG", "EWB" ], [ "10", "11", "NORP", "Asian" ], [ "23", "24", "LOC", "Asia" ], [ "25", "28", "GPE", "the United States" ], [ "32", "33", "DATE", "2000" ], [ "35", "37", "PERSON", "Mavis Ma" ], [ "38", "39", "ORG", "EWB" ], [ "44", "46", "GPE", "New York" ], [ "48", "49", "GPE", "Beijing" ], [ "50", "51", "GPE", "China" ], [ "53", "54", "PERSON", "Ma" ], [ "55", "57", "DATE", "many years" ], [ "61", "62", "GPE", "China" ], [ "63", "65", "GPE", "South Korea" ], [ "66", "67", "GPE", "Taiwan" ], [ "69", "70", "PERSON", "Ma" ], [ "75", "76", "NORP", "Asian" ], [ "79", "80", "DATE", "1992" ], [ "86", "87", "CARDINAL", "40" ], [ "87", "88", "NORP", "Western" ], [ "89", "90", "NORP", "Asian" ] ]

[ "|archives ~ negative273 ~ chill ~ nathan ~ jim ~ mount athos ~ rob\nIf the US Senate wants to take an absurd position and not seat senators who have been elected or appointed by a state, then I suggest the citizens of the affected states react appropriately:\nIf Minnesota and Illinois have but one senator allowed in the Senate, then the citizens of those states ought to pay only 1/2 of their Federal taxes. Otherwise, we surely have taxation without representation.\n|Copyright © 2002-2008 Ron K. Cytron ~ hosted by negative273 ~ powered by moveable type" ]

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[ " SENT_FROM\n\n Explanation:\n The text mentions \"n", " GOVERNMENT_OF \n\n Explanation:\n The text suggests", " FROM_STATE", " RESIDENCE", " HALF_OF", " MEMBER_OF", " OWE_MONEY_WITH_QUANTITY", " OWE_TAXES_TO", " HOSTED_BY", " AUTHOR_OF", " SIBLING", " MEMBER_OF", " REPRESENTS_STATE_OF_RESIDENCE", " GOVERNMENT_OF", " HALF_OF", " MEMBER_OF", " OWE_MONEY_TO", " TAX_COLLECTION", " POWERED_BY", " AUTHOR_OF", " WANT_TO_INTERACT_WITH", " GOVERNMENT_OF \n\n Explanation:\n The text suggests", " AFFECTS", " AFFECTS", " GOVERNMENT_OF \n\n Explanation:\n The text suggests", " GOVERNMENT_OF", " TAX_RATE_HALF_IF_REPRESENTATION_LIMITED", " GOVERNMENT_OF\n\n Explanation:\n The text discusses", " HOSTED_BY", " HOSTED_BY", " RESIDENCE", " REPRESENTS_STATE_OF\n\n Explanation:\n The", " AFFECTED_BY", " NEAR_GEOGRAPHIC_NEIGHBOR", " IF_PART_OF\n\n Explanation:\n The text suggests that if", " LOCATION_OF\n or\n LOCATED_IN\n\n Ex", " PAYS_TAXES_WITH_RATE", " PAYS_TAXES_TO", " HOSTED_BY", " HOSTED_BY", " GOVERNMENT_OF \n\n Explanation:\n The text ment", " GOVERNMENT_OF \n\n Explanation:\n The text ment", " AFFECTED_BY", " NEAR_GEOGRAPHIC_NEIGHBOR", " HALF_OF", " GOVERNMENT_OF \n or\n LOCATED_IN\n ", " PAYS_TAXES_WITH_RATE", " PAYS_TAXES_TO", " HOSTED_BY", " HOSTED_BY", " ALLOWED_CHILD_OF", " ALLOWED_CHILD_OF", " ALLOWED_BY", " HALF_OF", " HALF_OF", " ALLOWED_BY", " PAYS_TAXES_TO", " HOSTED_BY", " WANT_S_SEAT (Senate wants Nathan to have a seat)", " ALLOWED_BY", " GOVERNMENT_OF\n\n Explanation:\n The text mentions", " AFFECTS", " AFFECTS", " ALLOWED_CHILD_OF", " TAX_RATE_HALF_IF_REPRESENTATION_NOT_AL", " GOVERNMENT_OF\n or\n TAXED_BY", " HOSTED_BY", " HOSTED_BY", " OWE_MONEY", " TAX_RATE_HALF_OF_OTHERS", " TAX_RATE_HALF_OF_OTHERS_IF_UNDERRE", " PAYS_TAXES_WITH_RATE", " PAYS_TAXES_WITH_RATE", " TAX_RATE_HALF_OF_OTHERS_IF_UNREPRE", " TAX_RATE_HALF_OF", " OWNS_WEBSITE", " REPRESENTS_ORGANIZATION_OF\n\n Explanation", " TAX_COLLECTOR", " GOVERNMENT_OF\n\n Explanation:\n The text mentions", " TAXATION_PLACE_OF_RESIDENCE", " PAYS_TAXES_TO", " HALF_OF", " GOVERNMENT_OF \n or\n GOVERNED_BY ", " TAX_RATE_HALF_OF", " POWERED_BY", " COPYRIGHT_HELD_BY", " HOSTED_BY", " POWERED_BY", " GOVERNED_BY", " HOSTED_IN", " GOVERNED_BY", " HOSTED_BY", " PAYS_TAXES_TO", " COPYRIGHT_HELD_BY", " AUTHOR_OF\n\n Explanation:\n The text mentions that Ron", " AUTHOR_OF\n\n Explanation:\n The text mentions that Ron", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " OWE_MONEY_TO", " TAX_COLLECTION", " HOSTED_BY" ]

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[ "My name is Juanjo Garau, and together with María Esteban, I am the Culture, Industry, and Science Co-Chair of Spain@MIT. In this role, I would like to organize seminars and talks by high-level Spanish scientists, engineers, public figures, managers, and thinkers. With this talks, I specially look forward to contributing to the outreach of the Spanish community at MIT.\nI am currently a Master’s student in the department of Aeronautics and Astronautics at MIT. I conduct my research at the System Architecture Lab and it focuses on AI for dynamic resource allocation in high throughput satellites. Prior to MIT, I completed a double degree in Telecommunications Engineering and Industrial Engineering at the Universitat Politècnica de Catalunya. I am originally from a small paradise known as Mallorca." ]

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[ "Aston Villa face a fight to keep newly capped England star Fabian Delph, with Arsenal keen on his signature at the end of the season, as reported by the Daily Mirror.\nThe player’s contract expires in the summer, and despite being offered a bumper new deal by the Midlands club, Delph has not put pen to paper.\nThis has put Arsenal on red alert, who feel as though they can sensationally swoop and get him on a free transfer at the end of the season.\nThere is also interest from Everton manager Roberto Martinez, who also rates the young star.\nDelph would be an ideal fit for the Emirates Stadium club, who lack a ball winning midfielder like the former Leeds United star.\nWhile manager Arsene Wenger has previously tried to move for the likes of Spurs target Morgan Schneiderlin to fill that gap, it now seems as though he has his eyes on another solution." ]

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"138", "ORG", "Leeds United" ], "tail": [ "104", "106", "PERSON", "Roberto Martinez" ] } ], [ { "head": [ "136", "138", "ORG", "Leeds United" ], "tail": [ "115", "116", "PERSON", "Delph" ] } ], [ { "head": [ "136", "138", "ORG", "Leeds United" ], "tail": [ "123", "125", "FAC", "Emirates Stadium" ] } ], [ { "head": [ "136", "138", "ORG", "Leeds United" ], "tail": [ "143", "145", "PERSON", "Arsene Wenger" ] } ], [ { "head": [ "136", "138", "ORG", "Leeds United" ], "tail": [ "154", "155", "ORG", "Spurs" ] } ], [ { "head": [ "136", "138", "ORG", "Leeds United" ], "tail": [ "156", "158", "PERSON", "Morgan Schneiderlin" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "0", "2", "ORG", "Aston Villa" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "9", "10", "GPE", "England" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "11", "13", "PERSON", "Fabian Delph" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "15", "16", "ORG", "Arsenal" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "21", "26", "DATE", "the end of the season" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "30", "33", "ORG", "the Daily Mirror" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "41", "43", "DATE", "the summer" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "54", "55", "LOC", "Midlands" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "57", "58", "PERSON", "Delph" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "69", "70", "ORG", "Arsenal" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "90", "95", "DATE", "the end of the season" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "102", "103", "ORG", "Everton" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "104", "106", "PERSON", "Roberto Martinez" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "115", "116", "PERSON", "Delph" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "123", "125", "FAC", "Emirates Stadium" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "136", "138", "ORG", "Leeds United" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "154", "155", "ORG", "Spurs" ] } ], [ { "head": [ "143", "145", "PERSON", "Arsene Wenger" ], "tail": [ "156", "158", "PERSON", "Morgan Schneiderlin" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "0", "2", "ORG", "Aston Villa" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "9", "10", "GPE", "England" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "11", "13", "PERSON", "Fabian Delph" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "15", "16", "ORG", "Arsenal" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "21", "26", "DATE", "the end of the season" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "30", "33", "ORG", "the Daily Mirror" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "41", "43", "DATE", "the summer" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "54", "55", "LOC", "Midlands" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "57", "58", "PERSON", "Delph" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "69", "70", "ORG", "Arsenal" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "90", "95", "DATE", "the end of the season" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "102", "103", "ORG", "Everton" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "104", "106", "PERSON", "Roberto Martinez" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "115", "116", "PERSON", "Delph" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "123", "125", "FAC", "Emirates Stadium" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "136", "138", "ORG", "Leeds United" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "143", "145", "PERSON", "Arsene Wenger" ] } ], [ { "head": [ "154", "155", "ORG", "Spurs" ], "tail": [ "156", "158", "PERSON", "Morgan Schneiderlin" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "0", "2", "ORG", "Aston Villa" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "9", "10", "GPE", "England" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "11", "13", "PERSON", "Fabian Delph" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "15", "16", "ORG", "Arsenal" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "21", "26", "DATE", "the end of the season" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "30", "33", "ORG", "the Daily Mirror" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "41", "43", "DATE", "the summer" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "54", "55", "LOC", "Midlands" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "57", "58", "PERSON", "Delph" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "69", "70", "ORG", "Arsenal" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "90", "95", "DATE", "the end of the season" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "102", "103", "ORG", "Everton" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "104", "106", "PERSON", "Roberto Martinez" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "115", "116", "PERSON", "Delph" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "123", "125", "FAC", "Emirates Stadium" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "136", "138", "ORG", "Leeds United" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "143", "145", "PERSON", "Arsene Wenger" ] } ], [ { "head": [ "156", "158", "PERSON", "Morgan Schneiderlin" ], "tail": [ "154", "155", "ORG", "Spurs" ] } ] ]

[ " FACES_CAP_FROM", " FACE_COMPETITION", " FACES_INTEREST_FROM", " FIGHT_FOR_RETAINING", " REPORTED_BY", " FIGHT_FOR_RETAINING", " CLUB_LOCATION", " FACE_COMPETITION", " FACES_INTEREST_FROM", " FIGHT_FOR_RETAINING", " INTERESTED_IN", " INTERESTED_IN", " FIGHTS_TO_KEEP", " FAC_OF", " FORMER_TEAM", " HAS_INTEREST_IN", " NO_RELATION", " ARSENE_WENGER_INTERESTED_IN_MORGAN", " FACES_CHALLENGE", " PLAYS_FOR", " INTERESTED_IN", " EXPIRES_AT", " REPORTED_BY", " EXPIRES_IN.", " LOCATION_OF\n\n Entities: \n [{'head': ['", " NATIONALITY", " INTERESTED_IN", " EXPIRES_AT", " INTERESTED_IN", " INTERESTED_IN", " NATIONALITY", " INTERESTED_IN.", " PAST_TEAM", " HAS_INTEREST", " NO_RELATION", " ARSENE_WENGER_INTERESTED_IN\n\n Entities", " FACE_COMPETITION", " NEWLY_CAPPED_FOR.", " INTERESTED_IN", " EXPIRES_AT", " REPORTED_BY", " EXPIRES_IN.", " BELONGS_TO", " SELF_REFERENCE", " INTERESTED_IN", " EXPIRES_AT", " INTERESTED_IN", " INTERESTED_IN", " SELF", " BELONGS_TO", " PREVIOUSLY_PLAYED_FOR", " WANTS", " NO_RELATION", " ARSENAL_INTERESTED_IN_MORGAN_SCHNE", " INTERTED_BY", " INTERESTED_IN.", " INTERESTED_IN", " INTERESTED_IN.", " REPORTED_BY", " INTERESTED_IN.", " COMPETES_WITH", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " HAS_INTEREST_IN", " NO_RELATION. The text does not mention any relation between 'Arsenal' and '", " NO_RELATION\n\n Entities: \n [{'head': ['1", " FACE_COMPETITION", " FACES_END_SEASON_IN\n\n Entities: \n", " EXPIRES_AT.\n\n Entities: \n [{'head':", " INTERESTED_IN", " REPORTED_BY", " EXPIRES_IN. (The contract of Fabian Delph expires in the Mid", " CONTRACT_EXPIRATION", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " CONTRACT_EXPIRATION", " PAST_TEAM", " HAS_INTEREST", " NO_RELATION", " ARSENE_WENGER_TARGETED_MORGAN_SCH", " REPORTED_INTEREST", " REPORTED_FROM_SOURCE", " REPORTED_INTEREST", " REPORTED_INTEREST", " REPORTED_EVENT_ENDS_ON", " REPORTED_DATE_OF_EVENT", " REPORTED_FROM", " REPORTED_INTEREST", " REPORTED_INTEREST", " REPORTED_EVENT", " INTERESTED_IN", " INTERESTED_IN", " REPORTED_INTEREST", " REPORTED_INTEREST_FROM", " PREVIOUSLY_PLAYED_FOR", " REPORTED_INTEREST", " NO_RELATION", " ARSENE_WENGER_TARGETED_MORGAN_SCH", " FIGHT_FOR_RETAINING", " FACES_IN\n\n Explanation:\n The text states that '", " EXPIRES_IN.", " INTERESTED_IN", " REPORTED_BY", " EXPIRES_IN.", " EXPIRES_IN.", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " EXPIRES_IN.", " PREVIOUSLY_PLAYED_FOR", " HAS_INTEREST_IN", " NO_RELATION", " ARSENE_WENGER_TARGETED_MORGAN_SCH", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that A", " CLUB_LOCATION", " FIGHTS_FOR. This relation represents that one entity is trying to keep another entity.", " EXPIRES_AT", " REPORTED_BY", " EXPIRES_IN.", " CLUB_LOCATED_IN.", " FIGHTS_FOR\n\n Explanation:\n The text states that A", " EXPIRES_AT", " INTERESTED_IN", " INTERESTED_IN", " CLUB_LOCATION", " NEAR_LOCATION", " PREVIOUSLY_PLAYED_FOR", " HAS_INTEREST_IN", " NO_RELATION", " ARSENE_WENGER_TARGETED_MORGAN_SCH", " FACES_CHALLENGE", " NEWLY_CAPPED_FOR.", " SELF", " INTERESTED_IN", " EXPIRES_AT", " REPORTED_BY", " EXPIRES_IN", " CLUB_LOCATION", " INTERESTED_IN", " EXPIRES_AT", " INTERESTED_IN", " INTERESTED_IN", " SELF_REFERENCE", " TARGET_OF\n\n Explanation:\n The text states that Arsenal", " PREVIOUSLY_PLAYED_FOR", " WANTS\n\n Explanation:\n Arsene Wenger wants to", " NO_RELATION", " ARSENE_WENGER_INTERESTED_IN\n OR\n ", " INTERTED_BY", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " REPORTED_BY", " INTERESTED_IN.", " COMPETES_WITH", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " INTERESTED_IN. This is because Arsenal is interested in signing a player from", " HAS_INTEREST_IN", " NO_RELATION", " NO_RELATION. The text does not mention any relation between Fabian Delph and Morgan", " FIGHT_FOR_RETAINING", " SEASON_ENDS_AT\n\n Entities: \n [{'", " EXPIRES_AT.\n\n Entities: \n [{'head':", " INTERESTED_IN", " REPORTED_BY", " EXPIRES_IN.", " EXPIRES_AT.\n\n Entities: \n [{'head':", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " EXPIRES_AT.\n\n Entities: \n [{'head':", " PAST_TEAM", " HAS_INTEREST", " NO_RELATION", " ARSENE_WENGER_TARGETED_MORGAN_SCH", " INTERESTED_IN", " INTERESTED_IN.", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " INTERESTED_IN.", " INTERESTED_IN.", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " Roberto_Martinez_rates_Fabian_Delph_from_Le", " INTERESTED_IN", " NO_RELATION. The text does not mention any relation between 'Everton' and", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " REPORTED_INTEREST", " INTERESTED_IN.", " RATES_LOCATION", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN.", " RATES", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " FACES_CHALLENGE", " NEWLY_CAPPED_FOR.", " SELF", " INTERESTED_IN", " EXPIRES_AT", " REPORTED_BY", " EXPIRES_IN", " CLUB_LOCATION", " SELF_REFERENCE", " INTERESTED_IN", " EXPIRES_AT", " INTERESTED_IN", " INTERESTED_IN", " TARGET_OF\n\n Explanation:\n The text states that Arsenal", " PAST_TEAM", " WANTS\n\n Explanation:\n Arsene Wenger wants to", " NO_RELATION", " ARSENAL_INTERESTED_IN_MORGAN_SCHNE", " OPPOSITE_OF_EMPLOYER_OF", " PLAYS_FOR\n\n Explanation:\n The text states that Fab", " BELONGS_TO", " INTERESTED_IN", " REPORTED_BY", " LOCATION_NEARBY", " SUITOR", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " INTERESTED_IN", " PREVIOUSLY_PLAYED_FOR", " HAS_EYES_ON", " NO_RELATION", " ARSENAL_INTERESTED_IN\n\n Or\n\n Relation", " PREVIOUSLY_PLAYED_FOR", " PREVIOUSLY_PLAYED_FOR", " PREVIOUSLY_PLAYED_FOR", " INTERESTED_IN", " IDEAL_FOR", " REPORTED_BY", " NO_RELATION", " FORMER_ORGANIZATION_OF.", " PREVIOUSLY_PLAYED_FOR", " INTERESTED_IN", " SOLUTION\n\n Explanation:\n The text mentions that Ar", " Roberto_Martinez_rates_Leeds_United_star", " RATES", " PREVIOUSLY_PLAYED_FOR", " IDEAL_FIT", " HAS_EYES_ON", " NO_RELATION", " NO_RELATION", " WANTS\n\n Explanation:\n Arsene Wenger wants to", " INTERESTED_IN.", " WANTS", " HAS_INTEREST_IN", " WANTS_TO_SIGN\n\n Explanation:\n Arsene", " REPORTED_BY", " WANTS_TO_SIGN\n\n Explanation:\n Arsene", " OWNS_REGION\n\n Explanation:\n The text states that \"", " WANTS", " HAS_INTEREST_IN", " WANTS_TO_SIGN\n\n Explanation:\n Arsene", " INTERESTED_IN", " COMPETES_WITH", " WANTS", " WANTS_FOR\n\n Explanation:\n Arsene Wenger", " HAS_PREVIOUSLY_TRIED_TO_RECRUIT", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " 'Spurs' 'target' 'Fabian Delph' \n\n Therefore", " Arsenal - has_interest_in - Spurs", " NO_RELATION", " REPORTED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " Arsenal and Spurs are both interested in Fabian Delph.\n\n However,", " NO_RELATION", " NO_RELATION", " INTERESTED_IN", " NO_RELATION", " INTERESTED_IN", " NO_RELATION", " TRIES_FOR\n\n Explanation:\n Arsene Wenger has", " Spurs\n Targeted\n Morgan Schneiderlin", " Arsene_Wenger_has_eyes_on_another_solution", " NO_RELATION", " ARSENAL_INTERESTED_IN_FABIAN_DELPH", " INTERESTED_IN", " ARSENE_WENGER_TARGETS_MORGAN_SCH", " REPORTED_BY", " ARSENE_WENGER_TARGETED_FOR_MORGAN_", " NO_RELATION", " ARSENE_WENGER_TARGETED_DELPH_INSTEAD", " Arsenal is interested_in Morgan Schneiderlin.", " ARSENE_WENGER_TARGETED_FOR_MORGAN_", " INTERESTED_IN", " INTERESTED_IN", " ARSENE_WENGER_TARGETED_DELPH_INSTEAD", " INTERESTED_IN", " NO_RELATION", " HAS_EYES_ON", " Spurs are interested in Morgan Schneiderlin." ]

[ [ "0", "2", "ORG", "Aston Villa" ], [ "9", "10", "GPE", "England" ], [ "11", "13", "PERSON", "Fabian Delph" ], [ "15", "16", "ORG", "Arsenal" ], [ "21", "26", "DATE", "the end of the season" ], [ "30", "33", "ORG", "the Daily Mirror" ], [ "41", "43", "DATE", "the summer" ], [ "54", "55", "LOC", "Midlands" ], [ "57", "58", "PERSON", "Delph" ], [ "69", "70", "ORG", "Arsenal" ], [ "90", "95", "DATE", "the end of the season" ], [ "102", "103", "ORG", "Everton" ], [ "104", "106", "PERSON", "Roberto Martinez" ], [ "115", "116", "PERSON", "Delph" ], [ "123", "125", "FAC", "Emirates Stadium" ], [ "136", "138", "ORG", "Leeds United" ], [ "143", "145", "PERSON", "Arsene Wenger" ], [ "154", "155", "ORG", "Spurs" ], [ "156", "158", "PERSON", "Morgan Schneiderlin" ] ]

[ "Iron Fists and Kung Fu Kicks (2019) is a movie. Serge Ou has directed this movie. Jessica Henwick,Scott Adkins,JuJu Chan Szeto,Amy Johnston are the starring of this movie. It was released in 2019. Iron Fists and Kung Fu Kicks (2019) is considered one of the best Documentary,History movie in India and around the world.\nFrom Hong Kong to Hollywood, the Shaw Brothers to The Matrix, martial arts in cinema has been busting box offices and breaking barriers since the 1960s. This is the wild untold story of how the way of the dragon became a global phenomenon.\nFans of Iron Fists and Kung Fu Kicks (2019) also like" ]

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{ "head": [ "129", "130", "DATE", "2019" ], "tail": [ "30", "32", "PERSON", "Amy Johnston" ] } ], [ { "head": [ "129", "130", "DATE", "2019" ], "tail": [ "65", "66", "GPE", "India" ] } ], [ { "head": [ "129", "130", "DATE", "2019" ], "tail": [ "73", "75", "GPE", "Hong Kong" ] } ], [ { "head": [ "129", "130", "DATE", "2019" ], "tail": [ "76", "77", "GPE", "Hollywood" ] } ], [ { "head": [ "129", "130", "DATE", "2019" ], "tail": [ "79", "80", "PERSON", "Shaw" ] } ] ]

[ " DIRECTED_BY", " STARS_IN", " STARS_IN", " STARS_IN", " STARS_IN", " POPULAR_IN", " ORIGIN_FROM", " LIKED_IN_LOCATION", " BELONGS_TO\n\n Explanation:\n The text mentions", " DIRECTED", " STARS_IN", " STARS_IN", " STARS_IN", " FAN_OF", " POPULAR_IN", " SETTING", " LOCATION_IN.", " BELONGS_TO\n\n Explanation:\n The text mentions", " DIRECTED", " DIRECTED", " STARS_IN", " DIRECTED_BY", " STARS_IN", " STARS_IN", " DIRECTED", " DIRECTED", " DIRECTED", " DIRECTED", " DIRECTED", " LIKED_IN\n\n Explanation:\n The text mentions that", " DIRECTED_IN", " DIRECTED_IN", " DIRECTED_BY", " FAN_OF", " DIRECTED_IN", " DIRECTED", " DIRECTED", " STARS_IN", " STARRED_IN", " DIRECTED_BY", " COSTAR", " STARS_IN", " COSTAR", " STARRED_IN", " STARS_IN", " STARRED_IN", " STARS_IN", " STARS_IN", " LIKED_BY\n\n Explanation:\n The text mentions that", " ORIGIN_FROM", " FAN_OF", " FAN_OF", " FAN_OF", " FANS_OF", " STARS_IN", " STARRED_IN", " STARS_IN", " STARRED_IN", " DIRECTED_BY", " COSTAR", " COSTAR", " COACTED_IN", " STARRED_IN", " STARS_IN", " STARRED_IN", " LIKES", " LIKES", " FAN_OF", " ORIGIN_FROM", " LIKED_BY", " FAN_OF", " FAN_OF", " FAN_OF", " STARS_IN", " STARRED_IN", " STARS_IN", " STARRED_IN", " DIRECTED", " STARS_IN", " COSTARS", " COSTARS", " STARRED_IN", " STARS_IN", " STARRED_IN", " IS_ONE_OF\n\n Entities: \n [{'head': ['", " STARS_IN", " LIKED_IN_COUNTRY", " ORIGIN_FROM", " ORIGIN_FROM", " BELONGS_TO", " FAN_OF", " BELONGS_TO\n\n Explanation:\n JuJu Ch", " STARS_IN", " STARRED_IN", " STARS_IN", " STARRED_IN\n\n Explanation:\n Amy Johnston starred", " DIRECTED_BY", " COOCCURS_IN", " LIKES", " FAN_OF", " STARRED_IN\n\n Explanation:\n Amy Johnston starred", " STARS_IN", " STARRED_IN\n\n Explanation:\n Amy Johnston starred", " FAN_OF", " FAN_OF", " FAN_OF\n OR\n LIKES\n OR\n POP", " FAN_OF\n\n Entities: \n [{'head': ['3", " FAN_OF", " FAN_OF", " FAN_OF", " FANS_OF\n This text does not provide enough context to determine a relation between", " STARS_IN", " STARRED_IN\n\n Explanation:\n Amy Johnston is a", " DIRECTED", " STARS_IN", " STARS_IN", " STARS_IN", " STARS_IN", " POPULAR_IN", " SETTING.\n\n Explanation:\n The text mentions that 'I", " LOCATION_IN.", " BELONGS_TO\n\n Explanation:\n The text mentions", " DIRECTED_BY", " STARS_IN", " STARS_IN", " STARS_IN", " STARS_IN", " IS_POPULAR_IN", " ORIGIN_FROM", " LIKED_IN_LOCATION", " INFLUENCED_BY", " DIRECTED", " STARS_IN", " STARS_IN", " STARS_IN", " STARS_IN", " CONSIDERED_IN.", " SETTING.\n\n Explanation:\n The text mentions that 'I", " LOCATION_IN.", " BELONGS_TO", " DIRECTED", " STARS_IN", " STARS_IN", " STARS_IN", " FAN_OF", " CONSIDERED_IN.", " ORIGIN_FROM", " FANS_OF\n\n Explanation:\n The text mentions that", " ORIGINATED_FROM", " DIRECTED_BY", " STARS_IN", " STARS_IN", " STARS_IN", " FAN_OF", " POPULAR_IN", " ORIGIN_FROM", " ORIGIN_FROM", " PRODUCED_BY", " IS_POPULAR_IN", " CONSIDERED_IN_LOCATION_AT_TIME", " DIRECTED_BY", " LIKED_BY", " FAN_OF", " LIKED_BY", " FAN_OF", " CONSIDERED_IN_LOCATION_AT_TIME", " IS_POPULAR_IN", " CONSIDERED_IN_YEAR", " CONSIDERED_BY_ENTITY_IN_LOCATION", " CONSIDERED_AS", " LOCATION_FROM_LOCATION", " LIKED_IN\n\n Explanation:\n The text mentions that", " CONSIDERED_FROM", " FAN_OF", " DECADES_AGO_IN_LOCATION", " IS_POPULAR_IN", " CONSIDERED_IN_LOCATION_AT_TIME", " LOCATION_OF_ORIGIN", " RELEASED_IN", " DIRECTED_BY", " STARS_IN", " FAN_OF", " FROM_LOCATION", " FAN_OF", " SETTING", " LOCATION_OF\n Or\n NO_RELATION\n\n Explan", " SET_IN_LOCATION", " FROM_LOCATION", " ORIGIN_FROM", " POPULAR_IN", " FROM_LOCATION_TO_LOCATION", " FROM_LOCATION", " INFLUENCED_BY", " BACKGROUND_SET_IN", " LOCATION_OF\n Or\n NO_RELATION (if no relation exists", " SETTING", " FANS_OF", " RELEASED_IN.", " DIRECTED_BY", " FAN_OF", " FAN_OF", " FAN_OF", " FAN_OF", " RELEASED_IN.", " FANS_OF", " RELEASED_IN.", " FANS_OF", " FANS_OF", " LIKED_IN\n\n Explanation:\n The text mentions that", " FROM_LOCATION\n\n Explanation:\n The text mentions that the", " ORIGIN_FROM", " INFLUENCED_BY", " TIME_PERIOD_STARTED_IN_LOCATION", " FANS_OF", " RELEASED_IN.", " PRODUCED_BY", " RELEASED_IN_YEAR", " DIRECTED_BY", " STARS_IN", " STARS_IN", " STARS_IN", " STARS_IN", " RELEASED_IN_YEAR", " PRODUCED_BY", " RELEASED_IN_YEAR", " BELONGS_TO\n\n Explanation:\n The text mentions", " ORIGINATED_FROM", " POPULAR_IN", " ORIGIN_FROM", " LEADS_FROM", " INFLUENCED_BY", " DECADES_AGO", " PRODUCED_BY", " RELEASED_IN_YEAR", " DIRECTED_BY", " FAN_OF", " FAN_OF", " FAN_OF", " FAN_OF", " LIKED_IN_LOCATION", " INFLUENCED_BY", " FANS_OF", " INFLUENCED_BY", " DIRECTED_BY", " FAN_OF", " FAN_OF", " STARS_IN", " FAN_OF", " HAS_POPULARITY_IN", " BACKGROUND_LOCATION", " TIME_PERIOD_IN_REGION", " BACKGROUND_OF", " DIRECTED_BY", " STARS_IN", " STARS_IN", " STARS_IN", " STARS_IN", " POPULAR_IN", " ORIGIN_FROM", " LIKED_IN_LOCATION", " BELONGS_TO\n\n Explanation:\n The text mentions", " DIRECTED", " STARS_IN", " STARS_IN", " STARS_IN", " STARS_IN", " CONSIDERED_IN.", " RELEASED_IN", " RELEASED_IN.", " RELEASED_IN_YEAR" ]

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[ "Global Investment Research Book\nERA404 worked with a prominent NYC-based Investment Company and Creative Director, William Imboden, to create a 60-page, leather-bound book to document the culmination of a year’s worth of global investment research. The book featured 35 charts, 12 original illustrations (including a three-spread, full-color rendering of Tom Sawyer on the Mississippi), laser-etched cherry wood medallions and tons of research information and photography.\nAs the book has not yet been produced, an NDA prohibits us from including information about the investment company (you’ll notice the portfolio images have the identity blurred out), however we’ve added this piece to our portfolio and Creative Director, blog. Our client is excited to move forward with this project in 2008." ]

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[ " CREATED_BY", " LOCATION_OF\n ORGANIZATION_HEADQUARTERS_IN", " CREATED_BY", " BOOK_HAS_PAGE_COUNT", " RESEARCH_ON\n\n Explanation:\n The text states that Global", " RESEARCH_TOPIC_HAS_NUMBER_OF_INSTANCES", " FEATURED_IN", " FEATURE_VALUE\n or\n NO_RELATION (if 'three' is", " FEATURED_IN", " FEATURED_IN", " PRODUCTION_YEAR", " CREATED_BY", " WORKED_WITH", " WORKED_WITH", " SUBJECT_OF. The text mentions that Tom Sawyer is the subject of a three", " FEATURED_IN", " LOCATION_OF\n\n Explanation:\n The text states that '", " LOCATION_OF\n or\n ORGANIZED_BY\n\n", " WORKED_WITH", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n\n Explanation:\n The text states that '", " LOCATION_OF\n OR\n WORKED_FOR\n OR\n", " LOCATION_OF\n or\n ORGANIZED_BY\n ", " LOCATION_OF\n\n Explanation:\n The text states that \"", " SUBJECT_OF\n\n Explanation:\n The text states that Tom Saw", " NEAR_LOCATION", " PRODUCTION_YEAR", " CREATED_BY", " CREATED_BY", " CREATED_IN\n\n Explanation:\n The text states that William", " CREATED_WITH\n\n Entities: \n [{'head': ['", " WORKED_ON\n\n Entities: \n [{'head': ['", " CREATED_WITH\n\n Entities: \n [{'head': ['", " CREATED_ILLUSTRATIONS", " CREATED_BY\n\n Entities: \n [{'head': ['", " SUBJECT_OF\n\n Explanation:\n The text states that William I", " CREATIVE_DIRECTOR_OF\n\n Explanation:\n The", " EXCITED_ABOUT_PROJECT_IN_YEAR", " IS_A\n\n Explanation:\n The text states that \"Global Invest", " LOCATION_OF\n OR\n WORKED_FOR\n OR\n", " CREATED_BY", " SUBJECT_OF\n\n Explanation:\n The text states that Tom Saw", " FEATURED_IN", " YEAR_OF_PRODUCTION", " LOCATION.\n\n Explanation:\n The text states that 'ER", " WORKED_WITH", " SUBJECT_OF\n\n Explanation:\n The text states that \"Tom", " FEATURE_OF", " RESEARCH_SUBJECT", " WORKED_WITH", " WORKED_WITH", " FEATURED_IN", " FEATURED_IN", " PUBLISHER", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " CREATIVE_DIRECTOR", " SUBJECT_OF\n\n Explanation:\n The text states that Tom Saw", " FEATURED_IN", " PUBLISHER", " LOCATION_OF\n\n Explanation:\n The text states that E", " CREATED_BY", " SUBJECT_OF\n\n Explanation:\n The text states that \"Tom", " FEATURED_IN", " SUBJECT_OF\n\n Explanation:\n The text states that \"Tom", " SUBJECT_OF\n\n Explanation:\n The text states that \"Tom", " NO_RELATION. The text does not provide enough context to determine a relation between Tom Saw", " CREATED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " SUBJECT_OF\n\n Explanation:\n The text mentions that there", " NO_RELATION", " LOCATION_OF\n\n Explanation:\n The text states that the", " RESEARCH_FOR\n\n Explanation:\n The text states that E", " LOCATION_OF\n or\n NEAR\n\n Explanation:", " CREATED_BY", " FEATURES_VALUE\n or\n SUBJECT_OF\n or\n", " SETTING.LOCATION_OF.TIME.YEAR", " FEATURED_IN", " FEATURED_IN", " SUBJECT_OF\n\n Explanation:\n The text mentions that there", " SUBJECT_OF. This is because the text states that there is a three-spread", " PRODUCTION_YEAR", " PRODUCTION_IN_YEAR", " LOCATION.\n\n Explanation:\n The text states that ERA", " WORKED_WITH", " NO_RELATION.", " FEATURED_IN" ]

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[ "Yesterday we were in Nob Hill Foods, at the deli counter, to pick up some sliced turkey. While we were waiting for the turkey, we were offered a sample of their fajita salad, which I promptly passed off to John, since I didn’t feel like sampling. About seven minutes later, John said, “I think there was MSG in that. A LOT of it.” His mouth had gone totally dry and his head started to feel tight, like the onset of a headache. That must have been a LOT of MSG to have such a drastic effect for so little food in so little time!\nIn any case, we’ve learned our lesson – no samples unless we can see a list of ingredients! And luckily the feeling passed within a half hour, and never made it to the ‘itching between the fingers’ stage, which is the WORST.\n[Tags: msg, monosodium glutamate, food, allergy]" ]

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[ " WERE_AT", " EXPERIENCED_SYMPTOMS_OF_ALLERGIC_RE", " ALLERGY", " LOCATION_AT_TIME", " FOOD_ALLERGY", " TIME_AFTER", " FOOD_ALLERGY", " LEARNED_LESSON_FROM_EVENT", " PREVIOUS_EVENT\n\n Explanation:\n The text describes", " WENT_TO", " EVENT_STARTED\n\n Explanation:\n The relation between 'John'", " SAMPLED_BY", " RECOVERY_FROM_EVENT\n or\n NO_RELATION (if '", " FOOD_POISONING", " EXPERIENCED_SYMPTOMS_OF\n or\n CONSU", " EXPERIENCED_SYMPTOMS_OF\n or\n CONSU", " PREVIOUS_EVENT\n\n Explanation:\n The text describes", " WENT_TO", " SAMPLED_BY", " EXPERIENCED_SYMPTOMS_AFTER_TIME", " RECOVERED_FROM_EVENT", " LEARNED_FROM", " RECOVERED_FROM", " RECOVERED_FROM" ]

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[ "The Ottawa Senators have been a wonderful story all season, far exceeding expectations and making the playoffs. Erik Karlsson and Jason Spezza have been joys to watch, and Milan Michalek is a great player.\nBut Ottawa's run will come to an end against the top ranked New York Rangers. Henrik Lundqvist is too good and the Rangers commitment to defense is excellent. I'm not sure how far the Rangers can go in the 2012 playoffs, but they will get past Ottawa.\nHere's the statistical breakdown. Click on the stats for larger imagery:" ]

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[ " SEASON_OF\n\n Entities: \n [{'head': ['", " TEAMMEMBER_OF", " TEAMMEMBER", " PLAYER_OF\n\n Explanation:\n The text mentions that", " IDENTICAL\n\n Entities: \n [{'head': ['0',", " COMPETES_AGAINST", " GOALKEEPER_OF\n\n Explanation:\n The text states", " COMPETES_AGAINST", " COMPETES_AGAINST", " PLAYED_IN_YEAR", " IDENTICAL\n\n Entities: \n [{'head': ['0',", " SEASON_OF\n\n Entities: \n [{'head': ['", " PLAYED_ROLE_IN\n\n Explanation:\n The text", " PLAYED_FOR\n\n Explanation:\n The text states that \"", " PLAYED_FOR", " SEASON_OF\n\n Entities: \n [{'head': ['", " COMPETES_AGAINST", " BETTER_THAN", " END_OF_SEASON_FOR_HEAD_TEAM_VS_PLAYOFF", " ENDS_IN_CONTEST_AGAINST", " SEASON_OF\n\n Entities: \n [{'head': ['", " PLAYER_OF\n\n Entities: \n [{'head': ['", " PLAYED_DURING", " TEAMMATE", " TEAMMATE", " PLAYS_FOR", " PLAY_AGAINST", " PLAYS_AGAINST", " PLAY_AGAINST", " PLAY_AGAINST", " PLAYED_IN_YEAR", " PLAYS_FOR", " PLAYS_FOR", " PLAYED_DURING", " TEAMMATE", " TEAMMATE", " PLAYS_FOR", " PLAY_AGAINST", " PLAYS_AGAINST \n or\n OPPOSING_GOAL", " OUTPLAYED_BY", " OPPOSING_TEAM", " PLAYED_IN_YEAR", " PLAYS_FOR", " PLAYER_OF\n\n Entities: \n [{'head': ['", " PLAYED_DURING", " TEAMMATE", " TEAMMATE", " PLAYS_FOR", " PLAY_AGAINST", " PLAYS_AGAINST \n or\n FACES_OFF_", " PLAY_AGAINST", " PLAY_AGAINST", " PLAYED_IN_YEAR", " PLAYS_FOR", " 'SELF'", " SEASON_OF\n\n Entities: \n [{'head': ['", " TEAMMEMBER_OF", " TEAMMEMBER_OF", " PLAYER_OF\n\n Entities: \n [{'head': ['", " PLAYOFF_OPPONENT", " OUTPERFORMS", " COMPETES_AGAINST", " COMPETES_AGAINST", " PLAYOFFS_IN_YEAR", " TEAM_MEMBER_OF\n or\n ORG_PART_OF\n", " SUPERIOR_TO", " BEATEN_BY\n\n Explanation:\n The text states that \"", " OPPOSING_TEAM_MEMBER", " OPPOSING_TEAM_MEMBER", " PLAY_FOR\n\n Explanation:\n The text mentions that Milan", " SUPERIOR_TO", " GOALKEEPER_OF\n or\n TEAM_GOALKEE", " SAME_AS", " SAME_AS", " WILL_GET_PAST", " SUPERIOR_TO", " GOAL_KEEPER_OF\n or\n TEAM_AGAINST", " PLAYED_DURING", " SUPERIOR_GOALKEEPER", " PLAYS_AGAINST", " PLAYS_AGAINST", " BETTER_THAN", " GOALKEEPER_OF\n or\n ORG_HAS_GOAL", " GOALKEEPER_OF\n or\n TEAM_GOALKEE", " GOALKEEPER_OF\n or\n TEAM_GOALKEE", " WILL_GET_PAST", " BETTER_THAN", " OUTPERFORMS\n\n Explanation:\n The text states that \"O", " BEATEN_BY\n\n Explanation:\n The text states that the", " OPPOSING_TEAM_MEMBER", " OPPOSING_TEAM_MEMBER", " PLAYS_FOR", " SUPERIOR_TO\n\n Explanation:\n The text states", " SAME_AS", " GOALKEEPER_OF\n or\n TEAM_GOALKEE", " SAME_ORGANIZATION", " WILL_GET_PAST", " SUPERIOR_TO", " SUPERIOR_TO", " BEATEN_BY\n\n Explanation:\n The text states that \"", " OPPOSING_TEAM_MEMBER", " OPPOSING_TEAM_MEMBER", " PLAYER_OF\n\n Explanation:\n The text mentions that", " SUPERIOR_TO", " SAME_AS", " GOALKEEPER_OF\n or\n TEAM_GOALKEE", " SAME_ORG", " WILL_GET_PAST", " SUPERIOR_TO", " SUBJECT_OF\n\n Entities: \n [{'head': ['The", " PLAYED_FOR", " PLAYED_FOR", " PLAYER_OF\n\n Entities: \n [{'head': ['", " PLAYED_IN\n\n Entities: \n [{'head': ['", " BEATS", " PLAYS_FOR\n\n Explanation:\n The text mentions that", " PLAY_OPPONENT", " PLAY_OPPONENT", " PLAYED_IN\n\n Entities: \n [{'head': ['", " 'IDENTICAL'", " SEASON_OF\n\n Entities: \n [{'head': ['", " TEAMMEMBER_OF", " TEAMMEMBER_OF", " PLAYER_OF\n\n Entities: \n [{'head': ['", " TEAM_BELONGS_TO\n or\n ORG_IS_", " PLAYOFF_OPPONENT", " BETTER_THAN", " COMPETES_AGAINST", " COMPETES_AGAINST", " NO_RELATION" ]

[ [ "0", "3", "ORG", "The Ottawa Senators" ], [ "8", "10", "DATE", "all season" ], [ "19", "21", "PERSON", "Erik Karlsson" ], [ "22", "24", "PERSON", "Jason Spezza" ], [ "31", "33", "PERSON", "Milan Michalek" ], [ "40", "41", "ORG", "Ottawa" ], [ "52", "55", "ORG", "New York Rangers" ], [ "56", "58", "PERSON", "Henrik Lundqvist" ], [ "63", "64", "ORG", "Rangers" ], [ "77", "78", "ORG", "Rangers" ], [ "82", "83", "DATE", "2012" ], [ "90", "91", "ORG", "Ottawa" ] ]

[ "An Arsenal for Democracy by Claude-Jean Bertrand\n|Quantity in Basket:none\n|\"Everyone agrees that news media cannot be ruled solely by the profit motive and that government regulation on media is extremely dangerous. How then can we obtain good service from news media? As far as ethics is concerned, can we depend on the moral conscience of professionals to insure good service? The answer is MAS, nongovernmental media accountability systems. The book concentrates on MAS as one of the three pillars of good news media, together with free enterprise and state regulation. It presents general information about the major media accountability systems and their usefulness (press council, ombudsman, journalism review, etc.) and a chapter on each of them is written by an expert who has been involved with that particular system.Year: 2003Pages: \"" ]

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[ " AUTHOR_OF", " SUBJECT_OF_WORK\n\n Explanation:\n The text describes '", " AUTHOR_OF", " AUTHOR_OF\n\n Explanation:\n The text mentions that the", " WROTE_BOOK_ABOUT", " WRITTEN_BY", " PUBLISHED_BY", " WRITTEN_BY", " ONE_OF_MANY", " PUBLISHED_IN.", " AUTHOR_OF", " ONE_OF_MANY", " AUTHOR_OF", " PUBLISHED_BY" ]

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[ "I only caught the end of it last night but it’s a good show. The whole set is a good investment to consider purchasing through the HOTT shop. I work the 4p to midnight shift so I’m always missing out on these show, they ban HOTT at work. BTW, Rob and Doyel, I’m sure this comes to no surprise but my work place uses this company called Websense to filter out websites and they classify your site to contain hate and racism. I told my security admin that it was a lie and he agreed too, but then he has people to answer to so he couldn’t do anything about it." ]

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[ " MENTIONED_BY", " SAW\n\n Explanation:\n The text states that the speaker only caught", " FILTERED_BY", " WORKS_FOR\n\n Explanation:\n The text mentions that", " WORKS_FOR\n\n Explanation:\n The text mentions that", " FILTERS_WEBSITE", " SAW\n\n Entities: \n [{'head': ['I'], '", " WORKS_TIMES_FOR\n\n Entities: \n [{'", " FRIEND", " BLOCKS\n\n Explanation:\n The text mentions that 'my", " CAUGHT (PERSON, TIME)", " WORKS_TIMES_FOR\n\n Entities: \n [{'", " FRIEND", " BLOCKS\n\n Explanation:\n The text mentions that Doy", " MENTIONED_DURING", " WORKPLACE_OPERATES_SHIFT.", " BANNED_BY", " BLOCKS\n\n Explanation:\n The text mentions that the speaker" ]

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[ "ethan is too cute for words. he turned 1 and his parents threw him an amazing party! like i raved earlier in the preview post...\na posh indian restaurant in beverly hills! unlimited sushi made while you watch! international dancers! the best persian music and food! and wonderful people who are knit together so tightly.\nit was definitely a night to remember. big thanks to my assistant erika for helping out. and matt, thanks for tag teaming it with the videography!\nmy favorite image of ethan!!!\nremember peter & shawna? i photographed their engagement party last summer. they rock! such a gorgeous couple too.\ndefinitely one of my favorite images of the night :)\nlooks like it's past somebody's bedtime...seriously though. this party went til midnight!" ]

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[ "Carlton Thomas is 5'7\" tall, but don't harp on that around him. He's a football player and that's the way he looks at it. His height, or lack thereof, is a non-issue. The red-shirt freshman, who is in the mix for Georgia's starting tailback position, gained 90 yards on 6 carries in the Bulldogs second scrimmage Saturday night. Georgia coaches like his toughness and competitiveness, not to mention his talent and ability. The kid has blazing speed, but his ability to pound it up inside is what has surprised everyone. Word out of Athens is that Carlton Thomas is something special, so look for him on the field a lot for the Dawgs this season. He'll be the one standing tall!" ]

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] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "3", "5", "QUANTITY", "5'7\"" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "63", "65", "QUANTITY", "90 yards" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "66", "67", "CARDINAL", "6" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "71", "72", "ORDINAL", "second" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "73", "74", "DATE", "Saturday" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "74", "75", "TIME", "night" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "56", "57", "ORG", "Georgia" ], "tail": [ "136", "138", "DATE", "this season" ] } ], [ { "head": [ "63", "65", "QUANTITY", "90 yards" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "63", "65", "QUANTITY", "90 yards" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "63", "65", "QUANTITY", "90 yards" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "63", "65", "QUANTITY", "90 yards" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "63", "65", "QUANTITY", "90 yards" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "63", "65", "QUANTITY", "90 yards" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "63", "65", "QUANTITY", "90 yards" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "66", "67", "CARDINAL", "6" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "66", "67", "CARDINAL", "6" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "66", "67", "CARDINAL", "6" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "66", "67", "CARDINAL", "6" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "66", "67", "CARDINAL", "6" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "66", "67", "CARDINAL", "6" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "66", "67", "CARDINAL", "6" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "3", "5", "QUANTITY", "5'7\"" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "63", "65", "QUANTITY", "90 yards" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "66", "67", "CARDINAL", "6" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "71", "72", "ORDINAL", "second" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "73", "74", "DATE", "Saturday" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "74", "75", "TIME", "night" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "70", "71", "ORG", "Bulldogs" ], "tail": [ "136", "138", "DATE", "this season" ] } ], [ { "head": [ "71", "72", "ORDINAL", "second" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "71", "72", "ORDINAL", "second" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "71", "72", "ORDINAL", "second" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "71", "72", "ORDINAL", "second" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "71", "72", "ORDINAL", "second" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "71", "72", "ORDINAL", "second" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "71", "72", "ORDINAL", "second" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "73", "74", "DATE", "Saturday" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "73", "74", "DATE", "Saturday" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "73", "74", "DATE", "Saturday" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "73", "74", "DATE", "Saturday" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "73", "74", "DATE", "Saturday" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "73", "74", "DATE", "Saturday" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "73", "74", "DATE", "Saturday" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "74", "75", "TIME", "night" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "74", "75", "TIME", "night" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "74", "75", "TIME", "night" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "74", "75", "TIME", "night" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "74", "75", "TIME", "night" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "74", "75", "TIME", "night" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "74", "75", "TIME", "night" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "3", "5", "QUANTITY", "5'7\"" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "63", "65", "QUANTITY", "90 yards" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "66", "67", "CARDINAL", "6" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "71", "72", "ORDINAL", "second" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "73", "74", "DATE", "Saturday" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "74", "75", "TIME", "night" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "76", "77", "ORG", "Georgia" ], "tail": [ "136", "138", "DATE", "this season" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "3", "5", "QUANTITY", "5'7\"" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "63", "65", "QUANTITY", "90 yards" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "66", "67", "CARDINAL", "6" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "71", "72", "ORDINAL", "second" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "73", "74", "DATE", "Saturday" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "74", "75", "TIME", "night" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "115", "116", "GPE", "Athens" ], "tail": [ "136", "138", "DATE", "this season" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "3", "5", "QUANTITY", "5'7\"" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "63", "65", "QUANTITY", "90 yards" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "66", "67", "CARDINAL", "6" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "71", "72", "ORDINAL", "second" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "73", "74", "DATE", "Saturday" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "74", "75", "TIME", "night" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ], [ { "head": [ "118", "120", "PERSON", "Carlton Thomas" ], "tail": [ "136", "138", "DATE", "this season" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "3", "5", "QUANTITY", "5'7\"" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "63", "65", "QUANTITY", "90 yards" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "66", "67", "CARDINAL", "6" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "71", "72", "ORDINAL", "second" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "73", "74", "DATE", "Saturday" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "74", "75", "TIME", "night" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "135", "136", "ORG", "Dawgs" ], "tail": [ "136", "138", "DATE", "this season" ] } ], [ { "head": [ "136", "138", "DATE", "this season" ], "tail": [ "0", "2", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "136", "138", "DATE", "this season" ], "tail": [ "56", "57", "ORG", "Georgia" ] } ], [ { "head": [ "136", "138", "DATE", "this season" ], "tail": [ "70", "71", "ORG", "Bulldogs" ] } ], [ { "head": [ "136", "138", "DATE", "this season" ], "tail": [ "76", "77", "ORG", "Georgia" ] } ], [ { "head": [ "136", "138", "DATE", "this season" ], "tail": [ "115", "116", "GPE", "Athens" ] } ], [ { "head": [ "136", "138", "DATE", "this season" ], "tail": [ "118", "120", "PERSON", "Carlton Thomas" ] } ], [ { "head": [ "136", "138", "DATE", "this season" ], "tail": [ "135", "136", "ORG", "Dawgs" ] } ] ]

[ " HEIGHT", " PLAYS_FOR", " GAINED", " IS_ATHLETE_OF_TEAM\n\n Explanation:\n The", " PLAY_FOR", " PARTICIPATED_IN", " NO_RELATION", " HAPPENED_ON", " PLAYS_FOR", " REPUTATION_OF\n\n Explanation:\n The text states that \"", " SAME_PERSON", " PLAY_FOR", " PLAYS_IN\n\n Explanation:\n The text states that Carl", " HEIGHT_OF", " PLAYS_FOR", " PLAYS_FOR", " PLAYS_FOR", " NO_RELATION", " HEIGHT_OF", " PLAYS_FOR", " PLAYS_FOR", " HEIGHT_OF\n\n Entities: \n [{'head': ['C", " GAINED\n\n Entities: \n [{'head': ['Carl", " PLAYS_FOR", " ORG_PART_OF\n ORG_PART_OF is the correct relation label", " NO_RELATION", " NO_RELATION", " SECOND_SCRIMMAGE_TOOK_PLACE_AT_NIGHT", " LOCATION_IN_ORGANIZATION", " LOCATION_OF\n\n Explanation:\n The text mentions that", " PLAYS_FOR", " TEAM_MEMBER_OF", " LOOK_FOR\n or\n WILL_BE\n or\n EXPECT", " GAINED", " GAINED\n\n Explanation:\n The text states that \"He gained", " GAINED\n\n Explanation:\n The text states that Carlton Thomas", " GAINED\n\n Explanation:\n The text states that Carlton Thomas", " GAINED_IN\n\n Explanation:\n The text states that Carl", " GAINED", " GAINS_YARDS_FOR", " IS_FOOTBALL_PLAYER_OF\n or\n PLAYS", " PLAYS_FOR", " PLAYS_FOR", " PLAYS_FOR", " LOCATION_OF\n or\n NO_RELATION (if 'Athens", " IS_PLAYER_OF\n or\n PLAYS_FOR\n\n ", " PLAYS_FOR", " MEMBER_OF", " HEIGHT_OF\n\n Entities: \n [{'head': ['C", " PART_OF", " GAINED", " PLAY_FOR\n\n Explanation:\n The text states that Carlton", " SECOND_SCRIMMAGE", " SECOND_SCRIMMAGE\n\n Entities: \n [{'head", " SECOND_SCRIMMAGE\n\n Entities: \n [{'head", " PART_OF", " LOCATION_OF\n ORGANIZATION_OF (less common, but", " MEMBER_OF", " TEAM_MEMBER_OF", " SEASON_OF\n\n Explanation:\n The text states that \"", " PLAYED_IN\n\n Explanation:\n The text mentions that", " HOSTED_AT", " PLAY_FOR\n\n Explanation:\n The text states that Carlton", " HOSTED_AT", " WORD_OUT_OF", " PLAYED_IN\n\n Explanation:\n The text mentions that", " PLAY_FOR\n\n Explanation:\n The text mentions that Carl", " PLAYED_ON_DATE", " SCHEDULED_AT", " HAPPENED_AT", " SCRIMAGE_AT_ORG", " EVENT_LOCATION", " PLAYED_ON_DATE", " HAPPENED_AT", " PARTICIPATED_IN", " HOSTED_AT", " HAPPENED_AT", " HAPPENED_AT", " LOCATION_IN_GPE", " GAINED\n\n Explanation:\n The text states that \"He gained", " HAPPENED_AT", " PLAYS_FOR", " HEIGHT_OF\n\n Entities: \n [{'head': ['C", " LOCATION.IN.LOCATION", " GAINS\n\n Entities: \n [{'head': ['Carlton", " PLAYS_FOR", " ORG_PART_OF\n ORG_NAME: Georgia\n ORG_", " SECOND_SCRIMMAGE_OF\n\n Entities: \n [", " NO_RELATION", " SECOND_SCRIMMAGE\n\n Entities: \n [{'head", " LOCATION_OF\n\n Explanation:\n The text mentions that", " PLAYS_FOR", " TEAM_MEMBER_OF", " EXPECTED_LABEL: WILL_APPEAR_IN_SEASON\n ", " LOCATION_OF\n or\n NO_RELATION (if 'Athens", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATED_IN", " GAINED_QUANTITY", " WORD_OUT_OF", " LOCATED_IN", " The text is about the 'second' scrimmage in 'Athens'. Therefore,", " EVENT_LOCATION", " Word_out_of_{[Head]}_is_{[Relation]}_{[Label", " LOCATION_OF\n or\n ORGANIZATION_HEADQUART", " LOCATION_OF\n or\n KNOWN_FOR\n or\n ", " LOCATED_IN", " LOCATION_IN_REGION", " SELF_REFERENCE", " HEIGHT", " PLAYS_FOR", " GAINED", " GAINED\n\n Explanation:\n The text states that \"He gained", " PLAY_FOR", " PARTICIPATED_IN", " HAPPENED_ON", " HAPPENED_ON", " PLAYS_FOR", " REPUTATION_OF\n or\n KNOWN_FROM\n or\n ", " PLAY_FOR", " WILL_BE_ON_FIELD_FOR\n or\n APPEAR_", " PLAYS_FOR", " HEIGHT_OF\n\n Entities: \n [{'head': ['3", " TEAM_MEMBER_OF", " GAINED\n\n Explanation:\n The text states that Carlton Thomas", " PLAY_FOR\n\n Explanation:\n The text states that Carlton", " SAME_AS", " SECOND_SCRIMMAGE", " HELD_EVENT_AT", " SECOND_SCRIMMAGE\n\n Entities: \n [{'head", " TEAM_MEMBER_OF", " LOCATION_OF\n OR LOCATED_IN (Both are valid for", " PLAYS_FOR", " PLAYS_FOR\n\n Explanation:\n The text states that Carl", " PLAYS_IN_SEASON", " PLAYS_FOR", " PLAY_FOR\n\n Explanation:\n The text states that Carlton", " PLAYS_FOR", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " PLAYS_DURING", " PLAY_FOR\n\n Explanation:\n The text states that Carlton" ]

[ [ "0", "2", "PERSON", "Carlton Thomas" ], [ "3", "5", "QUANTITY", "5'7\"" ], [ "56", "57", "ORG", "Georgia" ], [ "63", "65", "QUANTITY", "90 yards" ], [ "66", "67", "CARDINAL", "6" ], [ "70", "71", "ORG", "Bulldogs" ], [ "71", "72", "ORDINAL", "second" ], [ "73", "74", "DATE", "Saturday" ], [ "74", "75", "TIME", "night" ], [ "76", "77", "ORG", "Georgia" ], [ "115", "116", "GPE", "Athens" ], [ "118", "120", "PERSON", "Carlton Thomas" ], [ "135", "136", "ORG", "Dawgs" ], [ "136", "138", "DATE", "this season" ] ]

[ "Please email me if you are interested in doing your own monotypes!\nWorkshops are conducted in my studio and with Mike Francis and Tom Hipschen through the Alexandria Art League School.\nSee the EVENTS page for more information on the Art League School Monotype Party.\nThese images are monotypes made from rural scenes in the Midwest and Virginia. Most images are 5x7 inches.\nClick on an image to enlarge." ]

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[ " WORKSHOP_INSTRUCTOR", " CONDUCTS", " CONDUCTS", " CONDUCTED_IN.", " CONDUCTED_IN", " WORKSHOP_WITH\n\n Explanation:\n Mike Francis conducts", " WORKSHOP_INSTRUCTOR", " CONDUCTS", " CONDUCTS", " MADE_FROM_LOCATION", " CONDUCTED_IN", " CONDUCTS_WORKSHOP_FOR\n\n Explanation:\n Tom", " WORKSHOP_INSTRUCTOR", " CONDUCTS_WORKSHOP_WITH", " ORGANIZES", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LOCATED_IN", " SIZE_OF\n\n Explanation:\n The text mentions that the", " CONDUCTS", " CONDUCTS", " CONDUCTS", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION", " CONDUCTED_BY", " CONDUCTED_BY", " LOCATION_OF\n OR LOCATED_IN (both are valid for this", " LOCATION_OF\n\n Explanation:\n The text mentions that", " PART_OF \n\n Explanation:\n The text mentions that the", " LOCATION_HAS_DIMENSIONS", " WORKSHOP_INSTRUCTOR", " WORKSHOP_INSTRUCTOR", " LOCATED_IN", " EVENT_IN_LOCATION", " LOCATION_IN_LOCATION\n or\n LOCATION_PART_", " SIZE_OF\n\n Explanation:\n The text mentions that the", " WORKSHOP_INSTRUCTOR", " WORKS_WITH", " WORKSHOP_LOCATION", " SIZE_OF\n\n Explanation:\n The text states that the images", " SIZE_OF\n\n Explanation:\n The text states that the images" ]

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[ "All of them, those in power, and those who want the power, would pamper us, if we agreed to overlook their crookedness by wilfully restricting our activities.\nDisclaimer: Dianetics and Scientology are trademarks of the Religious Technology Center (RTC.) These pages and their author are not connected with the Church of Scientology or RTC, or any other organization residing under their corporate umbrella.\nThis site is best viewed using a highly standards-compliant browser\n|Other web sites with precious media archives. There is also a downloadable SQL dump of this library (use it as you wish, no need to ask permission.)\n|In May 2008, Ron Sharp's hard work consisting of over 1260 FrontCite tagged articles were integrated with this library. There are more contributors to this library. This library currently contains over 6000 articles, and more added everyday from historical archives." ]

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[ "Coach O’s Alleged Bedroom Pics With Younger Woman Leak Online [Photos]\nLSU head football coach Ed Orgeron has had quite a 2020.\nThe Tigers wrapped up a perfect 15-0 season and National Championship last January. Coronavirus swept across the globe shortly thereafter. Then Coach O's marriage of 23 years ended when he and former wife Kelly went through a divorce.\nLSU is off to a rough 1-2 start following the dream season and will start a true freshman quarterback Saturday night against South Carolina.\nIn off the field news, a photo of Orgeron surfaced on-line of him in bed with a younger woman, as well as a photo of him next to the woman in a pool.\nSocial media went crazy.\nCoach O has not corroborated the photos, and I don't expect him to." ]

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"tail": [ "1", "2", "PERSON", "O" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "15", "16", "ORG", "LSU" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "19", "21", "PERSON", "Ed Orgeron" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "25", "26", "DATE", "2020" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "29", "30", "ORG", "Tigers" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "34", "35", "CARDINAL", "15" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "39", "41", "EVENT", "National Championship" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "41", "43", "DATE", "last January" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "53", "56", "PERSON", "Coach O's" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "58", "60", "DATE", "23 years" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "73", "74", "ORG", "LSU" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "79", "80", "CARDINAL", "1" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "94", "95", "DATE", "Saturday" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "95", "96", "TIME", "night" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "97", "99", "GPE", "South Carolina" ] } ], [ { "head": [ "66", "67", "PERSON", "Kelly" ], "tail": [ "110", "111", "PERSON", "Orgeron" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "1", "2", "PERSON", "O" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "15", "16", "ORG", "LSU" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "19", "21", "PERSON", "Ed Orgeron" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "25", "26", "DATE", "2020" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "29", "30", "ORG", "Tigers" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "34", "35", "CARDINAL", "15" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "39", "41", "EVENT", "National Championship" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "41", "43", "DATE", "last January" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "53", "56", "PERSON", "Coach O's" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "58", "60", "DATE", "23 years" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "66", "67", "PERSON", "Kelly" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "79", "80", "CARDINAL", "1" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "94", "95", "DATE", "Saturday" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "95", "96", "TIME", "night" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "97", "99", "GPE", "South Carolina" ] } ], [ { "head": [ "73", "74", "ORG", "LSU" ], "tail": [ "110", "111", "PERSON", "Orgeron" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "1", "2", "PERSON", "O" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "15", "16", "ORG", "LSU" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "19", "21", "PERSON", "Ed Orgeron" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "29", "30", "ORG", "Tigers" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "53", "56", "PERSON", "Coach O's" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "66", "67", "PERSON", "Kelly" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "73", "74", "ORG", "LSU" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "97", "99", "GPE", "South Carolina" ] } ], [ { "head": [ "79", "80", "CARDINAL", "1" ], "tail": [ "110", "111", "PERSON", "Orgeron" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "1", "2", "PERSON", "O" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "15", "16", "ORG", "LSU" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "19", "21", "PERSON", "Ed Orgeron" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "29", "30", "ORG", "Tigers" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "53", "56", "PERSON", "Coach O's" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "66", "67", "PERSON", "Kelly" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "73", "74", "ORG", "LSU" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "97", "99", "GPE", "South Carolina" ] } ], [ { "head": [ "94", "95", "DATE", "Saturday" ], "tail": [ "110", "111", "PERSON", "Orgeron" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "1", "2", "PERSON", "O" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "15", "16", "ORG", "LSU" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "19", "21", "PERSON", "Ed Orgeron" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "29", "30", "ORG", "Tigers" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "53", "56", "PERSON", "Coach O's" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "66", "67", "PERSON", "Kelly" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "73", "74", "ORG", "LSU" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "97", "99", "GPE", "South Carolina" ] } ], [ { "head": [ "95", "96", "TIME", "night" ], "tail": [ "110", "111", "PERSON", "Orgeron" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "1", "2", "PERSON", "O" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "15", "16", "ORG", "LSU" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "19", "21", "PERSON", "Ed Orgeron" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "25", "26", "DATE", "2020" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "29", "30", "ORG", "Tigers" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "34", "35", "CARDINAL", "15" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "39", "41", "EVENT", "National Championship" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "41", "43", "DATE", "last January" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "53", "56", "PERSON", "Coach O's" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "58", "60", "DATE", "23 years" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "66", "67", "PERSON", "Kelly" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "73", "74", "ORG", "LSU" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "79", "80", "CARDINAL", "1" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "94", "95", "DATE", "Saturday" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "95", "96", "TIME", "night" ] } ], [ { "head": [ "97", "99", "GPE", "South Carolina" ], "tail": [ "110", "111", "PERSON", "Orgeron" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "1", "2", "PERSON", "O" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "15", "16", "ORG", "LSU" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "19", "21", "PERSON", "Ed Orgeron" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "25", "26", "DATE", "2020" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "29", "30", "ORG", "Tigers" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "34", "35", "CARDINAL", "15" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "39", "41", "EVENT", "National Championship" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "41", "43", "DATE", "last January" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "53", "56", "PERSON", "Coach O's" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "58", "60", "DATE", "23 years" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "66", "67", "PERSON", "Kelly" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "73", "74", "ORG", "LSU" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "79", "80", "CARDINAL", "1" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "94", "95", "DATE", "Saturday" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "95", "96", "TIME", "night" ] } ], [ { "head": [ "110", "111", "PERSON", "Orgeron" ], "tail": [ "97", "99", "GPE", "South Carolina" ] } ] ]

[ " HEAD_OF\n\n Explanation:\n The text mentions that L", " COHABITED_WITH", " HAPPENED_IN", " HEAD_OF\n\n Explanation:\n The text mentions that L", " LSU_WRAPPED_UP_PERFECT_SEASON_WITH", " COACHED_AT", " EVENT_STARTED_AT\n\n Entities: \n [{'head':", " 'HEAD_OF'", " MARRIED_WITH", " EX-SPOUSE", " HEAD_OF\n\n Explanation:\n The text mentions that \"", " MARRIED_TO\n\n Explanation:\n The text mentions", " NO_RELATION", " START_TIME", " WILL_START_AGAINST", " IDENTITY", " COACHED_FOR\n\n Explanation:\n The text mentions that", " HEAD_OF\n\n Explanation:\n The text mentions that L", " SEASON_OF\n\n Entities: \n [{'head': ['", " SPORTS_TEAM_IS_A_PART_OF\n ORG_", " WRAPPED_UP_SEASON_FOR\n\n Entities: ", " ORGANIZED_EVENT", " SEASON_STARTED_IN", " ORGANIZATION_MEMBER", " MARRIED_WITH", " EX-SPOUSE", " SAME_ORGANIZATION", " NO_RELATION", " NO_RELATION", " LSU.OFF_FIELD_EVENTS_OCCUR_AT_TIME\n ", " OPPOSITE_OF_PLAYS_AGAINST \n\n Explanation", " HEAD_OF\n\n Explanation:\n The text mentions that L", " IDENTICAL_TO", " HEAD_OF\n\n Explanation:\n The text states that \"L", " EVENT_STARTED\n\n Entities: \n [{'head': ['Ed", " HEAD_OF\n\n Explanation:\n The text mentions that \"", " COACHED_AT (Ed Orgeron, LSU)", " HEAD_PARTICIPATED_IN\n OR: \n HEAD_", " EVENT_STARTED\n\n Entities: \n [{'head': ['Ed", " IDENTICAL_TO", " MARRIED_WITH\n\n Entities: \n [{'head':", " EX_SPOUSE", " HEAD_OF\n\n Explanation:\n The text mentions that Ed", " NO_RELATION", " NO_RELATION", " EVENT_STARTS_TIME", " WILL_PLAY_AGAINST", " SELF", " YEARS_AGO", " HAD_SEASON_AT", " PHOTO_WITH", " WINDED_BY\n\n Explanation:\n The text mentions that \"", " HAPPENED_IN_YEAR", " EX_SPOUSE", " COACHED_AT", " MEETING", " IN_THE_SAME_PLACE_AS", " COACHES_OF.", " SPORTS_TEAM_ASSOCIATED_WITH\n OR, you could", " HEAD_OF\n\n Explanation:\n The text mentions that \"", " SEASON_STARTED_IN", " WRAPPED_UP_SEASON_FOR\n\n Entities: ", " WON\n\n Explanation:\n The text states that \"The Tigers", " SEASON_STARTED\n\n Entities: \n [{'head':", " TEAM_MEMBER", " MARRIED_WITH", " EX-SPOUSE", " SPORTS_TEAM_ASSOCIATED_WITH\n OR, you could", " NO_RELATION", " LSU.football.team (ORG) will start (VERB) a true", " LSU.STARTS.SATURDAY_NIGHT", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " HEAD_OF\n\n Explanation:\n The text mentions that L", " HAD_PHOTOS_WITH", " HEAD_OF\n\n Explanation:\n The text mentions that L", " PHOTO_WITH", " HEAD_OF\n\n Explanation:\n The text mentions that L", " IS_ASSOCIATED_WITH", " EX_SPOUSE", " HEAD_OF\n\n Explanation:\n The text mentions that L", " WILL_START_AGAINST", " IN_BED_WITH", " COACHED_EVENT\n\n Entities: \n [{'head': ['", " WON_BY\n\n Explanation:\n The text mentions that L", " HEAD_OF\n\n Explanation:\n The text mentions that L", " WON_BY\n\n Explanation:\n The text states that \"The", " HAS_EVENT", " MARRIED_TO", " WON_BY\n\n Explanation:\n The text states that \"L", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " COACHED_NATIONAL_CHAMPIONSHIP", " MARRIED_AT", " PERIOD_OF_TIME\n\n Entities: \n [{'head", " MARRIED_AT", " WINDED_BY\n\n Explanation:\n The text mentions that L", " HAPPENED_AT", " DIVORCED_FROM", " FOUNDATION\n\n Explanation:\n The text mentions that LSU", " WILL_PLAY_AGAINST", " MARRIED_AT", " CO-OCCURRENCE", " HEAD_OF\n\n Explanation:\n The text states that \"Co", " CO-OCCURRENCE", " HAPPENED_IN_YEAR", " HEAD_OF\n\n Explanation:\n The text mentions that \"", " HAD_PERFECT_SEASON", " WON\n\n Entities: \n [{'head': ['53',", " HAPPENED_AT", " MARRIED_WITH\n\n Entities: \n [{'head':", " EX_SPOUSE", " HEAD_OF\n\n Explanation:\n The text states that \"Co", " BELONGS_TO", " NO_RELATION", " MEETING", " FACES_OPPONENT", " IDENTICAL_TO", " MARRIED_WITH", " MARRIED_TO\n\n Entities: \n [{'head':", " MARRIED_WITH", " MARRIED_TO\n\n Explanation:\n The text mentions", " MARRIED_WITH", " MARRIED_TO", " MARRIED_TO", " WILL_START_AGAINST", " MARRIED_WITH", " EX-SPOUSE", " EX-SPOUSE_OF", " EX-SPOUSE", " DIVORCE_YEAR", " EX-SPOUSE_OF", " MARRIED_TO\n\n Entities: \n [{'head':", " MARRIED_TO\n\n Entities: \n [{'head':", " MARRIED_ON", " EX-SPOUSE", " MARRIED_WITH", " EX-SPOUSE_OF", " EX-SPOUSE", " NO_RELATION", " DIVORCED_FROM\n\n Entities: \n [{'head", " LSU.starts_against (Kelly, South Carolina)", " EX-SPOUSE", " COACHED_BY", " PERSON_ORGANIZATION\n\n Entities: \n [{'", " HEAD_OF\n\n Explanation:\n The text states that \"L", " HAPPENED_IN", " SPORTS_TEAM_HEADCOACH", " HAD_PERFECT_SEASON", " HEAD_OF\n\n Explanation:\n The text states that \"L", " HAPPENED_IN", " HEAD_OF\n\n Explanation:\n The text mentions that \"", " MARRIED_WITH\n\n Explanation:\n The text states that", " EX-SPOUSE", " COACHED_BY", " LSU.head\n football_coach.tail", " EVENT_STARTS_AT. This text describes an event (LSU football game) that", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " HEAD_OF\n\n Explanation:\n The text states that \"L", " HAS_PHOTO_WITH", " HEAD_OF\n\n Explanation:\n The text mentions that L", " PHOTO_WITH", " HEAD_OF\n\n Explanation:\n The text mentions that L", " 'HEAD_OF'", " EX-SPOUSE", " COACHED_FOR", " WILL_START_AGAINST", " ASSOCIATED_WITH", " OPPOSITE_OF_STARTS_AT\n\n Explanation:\n ", " LSU_STARTS_AGAINST_SOUTH_CAROLINA", " NO_RELATION", " NO_RELATION", " START_DATE", " EX_SPOUSE", " HOSTS \n\n Explanation:\n The text mentions that L", " PLAY_AGAINST", " STARTS_AGAINST", " MEETING", " NO_RELATION", " IN_EVENT", " NO_RELATION", " HOSTED_EVENT", " EX_SPOUSE", " HOSTED_EVENT", " MEETING", " IN_EVENT", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " OPPOSITE_OF_LOCATED_AT", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " OPPOSITE_OF_STARTS_ON\n\n Explanation:\n ", " OPPOSITE_OF_MEMBER_OF # The text does not provide enough context to", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " OPPOSITE_OF_STARTED_ON", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " OPPOSITE_OF_STARTED_DATE_BEFORE", " MARRIED_TO", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " OPPOSITE_OF_STARTS_ON\n\n Explanation:\n ", " OPPOSITE_OF_STARTS_AT\n\n Explanation:\n ", " OPPOSITE_OF_LOCATION_AT\n\n Explanation:\n ", " SPOUSE", " HEAD_OF\n\n Explanation:\n The text mentions that \"", " SELF", " HAPPENED_IN", " HEAD_OF\n\n Explanation:\n The text mentions that L", " HAD_PERFECT_SEASON", " HEAD_OF\n\n Explanation:\n The text mentions that L", " EVENT_STARTED\n\n Entities: \n [{'head': ['1", " IDENTICAL_TO", " MARRIED_WITH\n\n Explanation:\n The text mentions", " EX_SPOUSE", " HEAD_OF\n\n Explanation:\n The text mentions that \"", " SPOUSE_OF", " STARTS_ON", " MEETING", " WILL_PLAY_AGAINST" ]

[ [ "1", "2", "PERSON", "O" ], [ "15", "16", "ORG", "LSU" ], [ "19", "21", "PERSON", "Ed Orgeron" ], [ "25", "26", "DATE", "2020" ], [ "29", "30", "ORG", "Tigers" ], [ "34", "35", "CARDINAL", "15" ], [ "39", "41", "EVENT", "National Championship" ], [ "41", "43", "DATE", "last January" ], [ "53", "56", "PERSON", "Coach O's" ], [ "58", "60", "DATE", "23 years" ], [ "66", "67", "PERSON", "Kelly" ], [ "73", "74", "ORG", "LSU" ], [ "79", "80", "CARDINAL", "1" ], [ "94", "95", "DATE", "Saturday" ], [ "95", "96", "TIME", "night" ], [ "97", "99", "GPE", "South Carolina" ], [ "110", "111", "PERSON", "Orgeron" ] ]

[ "This is the Moment – Cornet Solo\n‘This is the Moment’ is a hit song from the musical ‘Jekyll & Hyde’ – a show loosely based on the novella ‘The Strange Case of Dr Jekyll and Mr Hyde’. ‘This is the Moment’ is sung by Jekyll before he tests the transforming formula on himself in his laboratory. Famous covers of the song include that by The Moody Blues on their official compilation album for the 1994 FIFA World Cup.\nA Cornet Solo version of the anthem song from Jekyll and Hyde by Frank Wildhorn. A band version of this is also available from us." ]

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{ "head": [ "105", "107", "PERSON", "Frank Wildhorn" ], "tail": [ "87", "90", "EVENT", "FIFA World Cup" ] } ], [ { "head": [ "105", "107", "PERSON", "Frank Wildhorn" ], "tail": [ "101", "104", "WORK_OF_ART", "Jekyll and Hyde" ] } ] ]

[ " CREATED_BY", " COVERED_BY", " COMPOSER", " CREATED_BY", " COVERED_BY", " COMPOSER", " CREATED_BY", " COVERED_BY", " COMPOSER", " NOVEL_BASED_ON\n\n Or, if the text mentions a specific", " COVERED_BY", " COMPOSER_OF", " CREATED_BY", " COVERED_BY", " COMPOSER", " SINGER_OF\n or\n COMPOSED\n or\n W", " SINGER_OF\n or\n COMPOSER_OF (assuming J", " SINGER_OF\n OR:\n COMPOSER_OF\n OR", " BASED_ON", " SINGER_OF\n or\n COMPOSER_OF\n or\n", " SANG_BY", " SANG_AT\n\n Explanation:\n Jekyll sang the song", " NO_RELATION", " SINGER_OF\n OR:\n COMPOSER_OF\n OR", " COMPOSER", " PERFORMED_MUSIC_BY", " PERFORMED_MUSIC_BY", " PERFORMED\n\n Explanation:\n The text states that The Mood", " PERFORMED_MUSIC_BY", " PERFORMED_MUSIC_BY", " SINGS\n\n Explanation:\n The text states that The Moody", " SANG_AT\n\n Explanation:\n The entities represent 'The M", " PERFORMED_AT", " PERFORMED_MUSIC_BY", " PERFORMED_BY", " SANG_AT\n\n Explanation:\n The text states that \"J", " SANG\n\n Explanation:\n The entities represent the year '19", " SINGS\n\n Explanation:\n The text states that Frank Wildhorn performs", " COVERED_BY", " SINGS\n\n Explanation:\n The text mentions that The Mood", " SINGS\n\n Explanation:\n The text mentions that Frank Wildhorn", " CREATED_BY", " COVERED_BY", " COMPOSER_OF", " COMPOSER", " COMPOSER", " COMPOSER_OF", " COMPOSITION\n\n Explanation:\n Frank Wildhorn composed the work '", " COMPOSER", " COMPOSER_OF", " PERFORMED_BY", " RECORDING_DATE", " PERFORMANCE_AT\n or\n PERFORMED_AT\n or\n", " COMPOSER_OF" ]

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[ "mandarin117 Elicitation Paragraph:\nPlease call Stella. Ask her to bring these things with her from the store: Six spoons of fresh snow peas, five thick slabs of blue cheese, and maybe a snack for her brother Bob. We also need a small plastic snake and a big toy frog for the kids. She can scoop these things into three red bags, and we will go meet her Wednesday at the train station.\nblue = potential areas for this generalization\nred = actual areas for this generalization" ]

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[ [ { "head": [ "7", "8", "PERSON", "Stella" ], "tail": [ "21", "22", "CARDINAL", "Six" ] } ], [ { "head": [ "7", "8", "PERSON", "Stella" ], "tail": [ "28", "29", "CARDINAL", "five" ] } ], [ { "head": [ "7", "8", "PERSON", "Stella" ], "tail": [ "42", "43", "PERSON", "Bob" ] } ], [ { "head": [ "7", "8", "PERSON", "Stella" ], "tail": [ "66", "67", "CARDINAL", "three" ] } ], [ { "head": [ "7", "8", "PERSON", "Stella" ], "tail": [ "76", "77", "DATE", "Wednesday" ] } ], [ { "head": [ "21", "22", "CARDINAL", "Six" ], "tail": [ "7", "8", "PERSON", "Stella" ] } ], [ { "head": [ "21", "22", "CARDINAL", "Six" ], "tail": [ "42", "43", "PERSON", "Bob" ] } ], [ { "head": [ "28", "29", "CARDINAL", "five" ], "tail": [ "7", "8", "PERSON", "Stella" ] } ], [ { "head": [ "28", "29", "CARDINAL", "five" ], "tail": [ "42", "43", "PERSON", "Bob" ] } ], [ { "head": [ "42", "43", "PERSON", "Bob" ], "tail": [ "7", "8", "PERSON", "Stella" ] } ], [ { "head": [ "42", "43", "PERSON", "Bob" ], "tail": [ "21", "22", "CARDINAL", "Six" ] } ], [ { "head": [ "42", "43", "PERSON", "Bob" ], "tail": [ "28", "29", "CARDINAL", "five" ] } ], [ { "head": [ "42", "43", "PERSON", "Bob" ], "tail": [ "66", "67", "CARDINAL", "three" ] } ], [ { "head": [ "42", "43", "PERSON", "Bob" ], "tail": [ "76", "77", "DATE", "Wednesday" ] } ], [ { "head": [ "66", "67", "CARDINAL", "three" ], "tail": [ "7", "8", "PERSON", "Stella" ] } ], [ { "head": [ "66", "67", "CARDINAL", "three" ], "tail": [ "42", "43", "PERSON", "Bob" ] } ], [ { "head": [ "76", "77", "DATE", "Wednesday" ], "tail": [ "7", "8", "PERSON", "Stella" ] } ], [ { "head": [ "76", "77", "DATE", "Wednesday" ], "tail": [ "42", "43", "PERSON", "Bob" ] } ] ]

[ " ASK_FOR\n\n Explanation:\n The text asks Stella to", " BUY\n or\n ASK_PERSON_TO_BUY\n\n", " BROTHER", " MEETS_AT", " MEETING", " BUY_FOR\n\n Explanation:\n The text states that Stella", " NEEDS_SOMETHING", " BUY\n or\n ASK_PERSON_TO_BUY\n ", " BUY_FOR", " BROTHER", " NEEDS_QUANTITY_OF_ITEM", " SIBLING", " MEETS_AT\n\n Explanation:\n The entities represent Bob and", " MEETING", " MEETS_AT", " BUY_FOR", " MEETING", " MEETING_AT_LOCATION" ]

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