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

    【Schema】
    【DB_ID】 movie_platform
【Schema】
# Table: lists
[
(user_id:INTEGER, Examples: [88260493, 45204418, 48905025]),
(list_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(list_title:TEXT, Examples: [Films that made your kid sister cry]),
(list_movie_number:INTEGER, Examples: [5, 3, 7]),
(list_update_timestamp_utc:TEXT, Examples: [2019-01-24 19:16:18, 2018-12-03 15:12:20, 2019-05-30 03:00:07]),
(list_creation_timestamp_utc:TEXT, Examples: [2009-11-11 00:02:21, 2009-11-11 00:05:11, 2009-11-11 00:20:00]),
(list_followers:INTEGER, Examples: [5, 1, 6]),
(list_url:TEXT),
(list_comments:INTEGER, Examples: [3, 2, 5]),
(list_description:TEXT),
(list_cover_image_url:TEXT),
(list_first_image_url:TEXT),
(list_second_image_url:TEXT),
(list_third_image_url:TEXT)
]
# Table: movies
[
(movie_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(movie_title:TEXT, Examples: [La Antena, Elementary Particles, It's Winter]),
(movie_release_year:INTEGER, Examples: [2007, 2006, 2005]),
(movie_url:TEXT),
(movie_title_language:TEXT, Examples: [en]),
(movie_popularity:INTEGER, Examples: [105, 23, 21]),
(movie_image_url:TEXT),
(director_id:TEXT, Examples: [131, 73, 82]),
(director_name:TEXT, Examples: [Esteban Sapir, Oskar Roehler, Rafi Pitts]),
(director_url:TEXT)
]
# Table: lists_users
[
(user_id:INTEGER, Primary Key, Examples: [2385, 15264, 15344]),
(list_id:INTEGER, Primary Key, Examples: [192287, 192313, 192318]),
(list_update_date_utc:TEXT, Examples: [2019-11-26, 2020-05-01, 2020-04-12]),
(list_creation_date_utc:TEXT, Examples: [2009-12-18, 2010-01-30, 2010-03-31]),
(user_trialist:INTEGER, Examples: [1, 0]),
(user_subscriber:INTEGER, Examples: [1, 0]),
(user_avatar_image_url:TEXT),
(user_cover_image_url:TEXT),
(user_eligible_for_trial:TEXT, Examples: [0, 1]),
(user_has_payment_method:TEXT, Examples: [1, 0])
]
# Table: ratings_users
[
(user_id:INTEGER, Examples: [41579158, 68654088, 84114365]),
(rating_date_utc:TEXT, Examples: [2017-06-10, 2012-10-02, 2010-12-25]),
(user_trialist:INTEGER, Examples: [0, 1]),
(user_subscriber:INTEGER, Examples: [0, 1]),
(user_avatar_image_url:TEXT),
(user_cover_image_url:TEXT),
(user_eligible_for_trial:INTEGER, Examples: [1, 0]),
(user_has_payment_method:INTEGER, Examples: [0, 1])
]
# Table: ratings
[
(movie_id:INTEGER, Examples: [1066, 1067, 1068]),
(rating_id:INTEGER, Examples: [15610495, 10704606, 10177114]),
(rating_url:TEXT),
(rating_score:INTEGER, Examples: [3, 2, 4]),
(rating_timestamp_utc:TEXT, Examples: [2017-06-10 12:38:33, 2014-08-15 23:42:31, 2014-01-30 13:21:57]),
(critic:TEXT),
(critic_likes:INTEGER, Examples: [0, 1, 2]),
(critic_comments:INTEGER, Examples: [0, 2, 1]),
(user_id:INTEGER, Examples: [41579158, 85981819, 4208563]),
(user_trialist:INTEGER, Examples: [0, 1]),
(user_subscriber:INTEGER, Examples: [0, 1]),
(user_eligible_for_trial:INTEGER, Examples: [1, 0]),
(user_has_payment_method:INTEGER, Examples: [0, 1])
]
【Foreign keys】
lists.user_id=lists_users.user_id
lists_users.list_id=lists.list_id
lists_users.user_id=lists.user_id
ratings_users.user_id=lists_users.user_id
ratings.movie_id=movies.movie_id
ratings.user_id=lists_users.user_id
ratings.rating_id=ratings.rating_id
ratings.user_id=ratings_users.user_id

    【Question】
    How many directors have directed atleast 10 movies between 1960 to 1985? Indicate the name of the movie in those years of each director that received the highest amount of 5 rating score. directed at least 10 movies refers to count(direct_name)>10; 1960 to 1985 refer to movie_release_year

    【Evidence】
    directed at least 10 movies refers to count(direct_name)>10; 1960 to 1985 refer to movie_release_year


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

SQL: SELECT T2.director_name FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year BETWEEN 1960 AND 1985 GROUP BY T2.director_name HAVING COUNT(T2.movie_id) > 10