QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    What is the MPAA rating for the movie with the character named "Peter Quill" in it? MPAA rating = 'G' means General audiences; MPAA rating = 'PG' means Parental guidance suggested; MPAA rating = 'R'means Restricted; MPAA rating = 'X' means No one under 17 admitted

    【Evidence】
    MPAA rating = 'G' means General audiences; MPAA rating = 'PG' means Parental guidance suggested; MPAA rating = 'R'means Restricted; MPAA rating = 'X' means No one under 17 admitted

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

SQL: SELECT T1.`MPAA Rating` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T2.`Character Name` = 'Peter Quill'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    Give the name of the No.1 character in the credit list from the highest rating thriller movie. No.1 character in the credit list refers to creditOrder = '1'; highest rating refers to max(rating); thriller movie refers to Genre = 'Thriller'

    【Evidence】
    No.1 character in the credit list refers to creditOrder = '1'; highest rating refers to max(rating); thriller movie refers to Genre = 'Thriller'

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

SQL: SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T2.creditOrder = '1' AND T1.Genre = 'Thriller' ORDER BY T1.Rating DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    Who was the actor that played in the movie "Batman" with the longest screentime? movie "Batman" refers to Title = 'Batman'; longest screentime refers to max(screentime)

    【Evidence】
    movie "Batman" refers to Title = 'Batman'; longest screentime refers to max(screentime)

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

SQL: SELECT T2.Name FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID INNER JOIN movie AS T3 ON T3.MovieID = T1.MovieID WHERE T3.Title = 'Batman' ORDER BY T1.screentime DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    How many movies has the highest networth actor acted in? highest networth refers to max(networth)

    【Evidence】
    highest networth refers to max(networth)

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

SQL: SELECT COUNT(*) FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE CAST(REPLACE(REPLACE(T2.NetWorth, ',', ''), '$', '') AS REAL) = ( SELECT MAX(CAST(REPLACE(REPLACE(NetWorth, ',', ''), '$', '') AS REAL)) FROM actor)
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    Who played the character named "Chanice Kobolowski"?

    【Evidence】
    

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

SQL: SELECT T2.Name FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Chanice Kobolowski'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    When is the birthday of the actor who played "Sully"? birthday refers to Date of Birth; "Sully" refers to Character Name = 'Sully'

    【Evidence】
    birthday refers to Date of Birth; "Sully" refers to Character Name = 'Sully'

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

SQL: SELECT T2.`Date of Birth` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Sully'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    Show the birth city of the actor who played "Gabriel Martin". "Gabriel Martin" refers to Character Name = 'Gabriel Martin'

    【Evidence】
    "Gabriel Martin" refers to Character Name = 'Gabriel Martin'

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

SQL: SELECT T2.`Birth City` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Gabriel Martin'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    Give the biography of the actor who played "Michael Moscovitz". "Michael Moscovitz" refers to Character Name = 'Michael Moscovitz'

    【Evidence】
    "Michael Moscovitz" refers to Character Name = 'Michael Moscovitz'

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

SQL: SELECT T2.Biography FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Michael Moscovitz'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    How tall is the actor who played "Lurch"? tall refers to Height (Inches); "Lurch" refers to Character Name = 'Lurch'

    【Evidence】
    tall refers to Height (Inches); "Lurch" refers to Character Name = 'Lurch'

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

SQL: SELECT T2.`Height (Inches)` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Lurch'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie
【Schema】
# Table: actor
[
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [John Travolta, Kirstie Alley, Olympia Dukakis]),
(Date of Birth:DATE, Examples: [1954-02-18]),
(Birth City:TEXT, Examples: [Englewood, Wichita, Lowell]),
(Birth Country:TEXT, Examples: [USA, West Germany, UK]),
(Height (Inches):INTEGER, Examples: [74, 67, 63]),
(Biography:TEXT),
(Gender:TEXT, Examples: [Male, Female]),
(Ethnicity:TEXT, Examples: [White, African American, Lebanese]),
(NetWorth:TEXT, Examples: [$250,000,000.00, $40,000,000.00, $6,000,000.00])
]
# Table: characters
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ActorID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Character Name:TEXT, Examples: [James, Mollie, Rosie]),
(creditOrder:INTEGER, Examples: [1, 2, 3]),
(pay:TEXT, Examples: [$5,000,000.00, $60,000,000.00, $29,000,000.00]),
(screentime:TEXT, Examples: [0:32:30, 0:32:15, 0:29:00])
]
# Table: movie
[
(MovieID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT, Examples: [Look Who's Talking, Driving Miss Daisy, Turner & Hooch]),
(MPAA Rating:TEXT, Examples: [PG-13, PG, R]),
(Budget:INTEGER, Examples: [7500000, 13000000, 14000000]),
(Gross:INTEGER, Examples: [296000000, 145793296, 71079915]),
(Release Date:TEXT, Examples: [1989-10-12, 1989-12-13, 1989-07-28]),
(Genre:TEXT, Examples: [Romance, Comedy, Crime]),
(Runtime:INTEGER, Examples: [93, 99, 100]),
(Rating:REAL, Examples: [5.9, 7.4, 7.2]),
(Rating Count:INTEGER, Examples: [73638, 91075, 91415]),
(Summary:TEXT)
]
【Foreign keys】
characters.ActorID=actor.ActorID
characters.MovieID=movie.MovieID

    【Question】
    Show the No.3 character name in the credit list of the movie "G.I. Joe: The Rise of Cobra". No.3 character refers to creditOrder = '3'; movie "G.I. Joe: The Rise of Cobra" refers to Title = 'G.I. Joe: The Rise of Cobra'

    【Evidence】
    No.3 character refers to creditOrder = '3'; movie "G.I. Joe: The Rise of Cobra" refers to Title = 'G.I. Joe: The Rise of Cobra'

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

SQL: SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'G.I. Joe: The Rise of Cobra' AND T2.creditOrder = '3'