You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection_2
【Schema】
# Table: violation
[
(inspection_id:INTEGER, Primary Key, Examples: [44247, 44248, 44249]),
(point_id:INTEGER, Primary Key, Examples: [30, 32, 33]),
(fine:INTEGER, Examples: [100, 0, 500]),
(inspector_comment:TEXT)
]
# Table: employee
[
(employee_id:INTEGER, Primary Key, Examples: [103705, 104633, 106581]),
(first_name:TEXT, Examples: [Anastasia, Joshua, Zach]),
(last_name:TEXT, Examples: [Hansen, Rosa, Barber]),
(address:TEXT, Examples: [6023 S Elizabeth St, 5000 N Wolcott Ave, 7522 N Oleander Ave]),
(city:TEXT, Examples: [Chicago, Park Forest, Hoffman Estates]),
(state:TEXT, Examples: [IL]),
(zip:INTEGER, Examples: [60636, 60640, 60631]),
(phone:TEXT, Examples: [(773) 424-8729, (773) 293-6409, (219) 473-0757]),
(title:TEXT, Examples: [Sanitarian, Supervisor, Division Manager]),
(salary:INTEGER, Examples: [79300, 82000, 79900]),
(supervisor:INTEGER, Examples: [177316, 186742, 179582])
]
# Table: inspection
[
(inspection_id:INTEGER, Primary Key, Examples: [44247, 44248, 44249]),
(inspection_date:DATE, Examples: [2010-01-05]),
(inspection_type:TEXT, Examples: [Complaint]),
(results:TEXT, Examples: [Pass, Pass w/ Conditions, Fail]),
(employee_id:INTEGER, Examples: [141319, 143902, 143487]),
(license_no:INTEGER, Examples: [1222441, 1336561, 1334073]),
(followup_to:INTEGER, Examples: [67871, 248210, 233215])
]
# Table: establishment
[
(license_no:INTEGER, Primary Key, Examples: [1, 2, 9]),
(dba_name:TEXT, Examples: [HARVEST CRUSADES MINISTRIES]),
(aka_name:TEXT, Examples: [COSI]),
(facility_type:TEXT, Examples: [Special Event, Restaurant, TAVERN]),
(risk_level:INTEGER, Examples: [2, 1, 3]),
(address:TEXT, Examples: [118 N CENTRAL AVE , 230 W MONROE ST , 116 S MICHIGAN AVE ]),
(city:TEXT, Examples: [CHICAGO, Chicago, chicago]),
(state:TEXT, Examples: [IL]),
(zip:INTEGER, Examples: [60644, 60606, 60603]),
(latitude:REAL, Examples: [41.8828450747188, 41.8807571586472, 41.8803958382596]),
(longitude:REAL, Examples: [-87.7650954520439, -87.6347092983425, -87.6245017215946]),
(ward:INTEGER, Examples: [29, 42, 18])
]
# Table: inspection_point
[
(point_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Description:TEXT),
(category:TEXT, Examples: [Food Protection]),
(code:TEXT, Examples: [7-38-005 (B) (B-2), 7-38-005 (A), 7-38-010 (A) (B)]),
(fine:INTEGER, Examples: [500, 250, 100]),
(point_level:TEXT, Examples: [Critical, Serious , Minor   ])
]
【Foreign keys】
violation.inspection_id=inspection.inspection_id
violation.point_id=inspection_point.point_id
employee.supervisor=employee.employee_id
inspection.employee_id=employee.employee_id
inspection.license_no=establishment.license_no
inspection.followup_to=inspection.inspection_id

    【Question】
    Where does the employee named "Standard Murray" live? address refers to address, city, state

    【Evidence】
    address refers to address, city, state

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT address, city, state FROM employee WHERE first_name = 'Standard' AND last_name = 'Murray'