Джентльмены удачи
E747539
«Джентльмены удачи» — советская кинокомедия 1971 года о добродушном воспитателе детсада, которого милиция использует как двойника опасного преступника, ставшая одним из самых популярных и цитируемых фильмов в истории российского кино.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Джентльмены удачи canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8625161 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Джентльмены удачи Context triple: [Gentlemen of Fortune, originalTitle, Джентльмены удачи]
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A.
Mr. Lucky
Mr. Lucky is a blues album by John Lee Hooker that features his signature electric blues style and collaborations with several prominent guest musicians.
-
B.
Lucky Man
"Lucky Man" is a folk-influenced progressive rock song by Greg Lake, best known from Emerson, Lake & Palmer’s debut album and recognized for its distinctive Moog synthesizer solo.
-
C.
Luckiest Man on the Face of the Earth
"Luckiest Man on the Face of the Earth" is Lou Gehrig’s iconic 1939 farewell speech at Yankee Stadium, remembered as one of the most moving and famous moments in sports history.
-
D.
The Lucky Chance
The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
-
E.
The Ladies Man
The Ladies Man is a 1961 American comedy film directed by and starring Jerry Lewis, known for its elaborate dollhouse-style set and Lewis’s trademark slapstick humor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Джентльмены удачи Target entity description: «Джентльмены удачи» — советская кинокомедия 1971 года о добродушном воспитателе детсада, которого милиция использует как двойника опасного преступника, ставшая одним из самых популярных и цитируемых фильмов в истории российского кино.
-
A.
Mr. Lucky
Mr. Lucky is a blues album by John Lee Hooker that features his signature electric blues style and collaborations with several prominent guest musicians.
-
B.
Lucky Man
"Lucky Man" is a folk-influenced progressive rock song by Greg Lake, best known from Emerson, Lake & Palmer’s debut album and recognized for its distinctive Moog synthesizer solo.
-
C.
Luckiest Man on the Face of the Earth
"Luckiest Man on the Face of the Earth" is Lou Gehrig’s iconic 1939 farewell speech at Yankee Stadium, remembered as one of the most moving and famous moments in sports history.
-
D.
The Lucky Chance
The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
-
E.
The Ladies Man
The Ladies Man is a 1961 American comedy film directed by and starring Jerry Lewis, known for its elaborate dollhouse-style set and Lewis’s trademark slapstick humor.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
кинокомедия
ⓘ
художественный фильм ⓘ |
| актёр |
Анатолий Папанов
NERFINISHED
ⓘ
Борислав Брондуков NERFINISHED ⓘ Владимир Басов NERFINISHED ⓘ Галина Польских NERFINISHED ⓘ Георгий Вицин NERFINISHED ⓘ Георгий Георгиу NERFINISHED ⓘ Гоша Данелия NERFINISHED ⓘ Евгений Леонов ⓘ Евгений Павлов NERFINISHED ⓘ Екатерина Георгиевская NERFINISHED ⓘ Наталья Фатеева ⓘ Николай Граббе NERFINISHED ⓘ Николай Парфёнов NERFINISHED ⓘ Нина Гребешкова ⓘ Раднэр Муратов NERFINISHED ⓘ Роман Филиппов NERFINISHED ⓘ Савелий Крамаров NERFINISHED ⓘ |
| главная роль | Евгений Леонов NERFINISHED ⓘ |
| год выхода | 1971 ⓘ |
| жанр | комедия ⓘ |
| значимость | один из самых цитируемых фильмов в истории российского кино ⓘ |
| киностудия | Мосфильм NERFINISHED ⓘ |
| композитор | Александр Зацепин NERFINISHED ⓘ |
| монтажёр | Наталия Анисимова NERFINISHED ⓘ |
| оператор | Сергей Вронский ⓘ |
| оригинальная страна проката | Советский Союз NERFINISHED ⓘ |
| период действия | современность начала 1970-х годов ⓘ |
| персонаж |
Доцент
ⓘ
Косой NERFINISHED ⓘ Ромашка NERFINISHED ⓘ Трошкин NERFINISHED ⓘ Хмырь NERFINISHED ⓘ |
| популярность | один из самых популярных советских фильмов ⓘ |
| премьера | 1971 ⓘ |
| производитель | Мосфильм NERFINISHED ⓘ |
| режиссёр | Александр Серый NERFINISHED ⓘ |
| страна производства | СССР NERFINISHED ⓘ |
| сценарист |
Виктория Токарева
NERFINISHED
ⓘ
Георгий Данелия NERFINISHED ⓘ |
| сюжет | воспитатель детского сада выдаёт себя за преступника-двойника по заданию милиции ⓘ |
| тематика |
криминальная комедия
ⓘ
подмена личности ⓘ |
| тип производства | широкоформатный фильм ⓘ |
| формат | цветной фильм ⓘ |
| целевой зритель | массовый зритель ⓘ |
| эпоха | советское кино 1970-х годов ⓘ |
| язык фильма | русский ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Джентльмены удачи Description of subject: «Джентльмены удачи» — советская кинокомедия 1971 года о добродушном воспитателе детсада, которого милиция использует как двойника опасного преступника, ставшая одним из самых популярных и цитируемых фильмов в истории российского кино.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.