Always Leave Them Laughing
E799657
Always Leave Them Laughing is a 1949 comedy film starring Milton Berle as an ambitious but unscrupulous nightclub comic.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Always Leave Them Laughing canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9430161 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Always Leave Them Laughing Context triple: [Milton Berle, notableWork, Always Leave Them Laughing]
-
A.
Make 'Em Laugh
"Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
-
B.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
C.
They All Laughed
"They All Laughed" is a classic popular song by George and Ira Gershwin, known for its witty lyrics and memorable melody, introduced in the 1937 film "Shall We Dance."
-
D.
They All Laughed
They All Laughed is a 1981 romantic comedy film blending screwball humor and bittersweet romance, directed by Peter Bogdanovich and set in New York City.
-
E.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Always Leave Them Laughing Target entity description: Always Leave Them Laughing is a 1949 comedy film starring Milton Berle as an ambitious but unscrupulous nightclub comic.
-
A.
Make 'Em Laugh
"Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
-
B.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
C.
They All Laughed
They All Laughed is a 1981 romantic comedy film blending screwball humor and bittersweet romance, directed by Peter Bogdanovich and set in New York City.
-
D.
They All Laughed
"They All Laughed" is a classic popular song by George and Ira Gershwin, known for its witty lyrics and memorable melody, introduced in the 1937 film "Shall We Dance."
-
E.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf | film ⓘ |
| castMember | Milton Berle NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| distributor |
Warner Bros. Pictures
ⓘ
surface form:
Warner Bros.
|
| format | black-and-white film ⓘ |
| genre |
comedy film
ⓘ
show business film ⓘ |
| hasMainCharacter | an ambitious but unscrupulous nightclub comic ⓘ |
| hasTitle | Always Leave Them Laughing NERFINISHED ⓘ |
| narrativeLocation | nightclubs ⓘ |
| originalLanguage | English ⓘ |
| productionCompany | Warner Bros. NERFINISHED ⓘ |
| publicationDate | 1949 ⓘ |
| releaseYear | 1949 ⓘ |
| starredActor | Milton Berle NERFINISHED ⓘ |
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.
Instruction
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.
Input
Subject: Always Leave Them Laughing Description of subject: Always Leave Them Laughing is a 1949 comedy film starring Milton Berle as an ambitious but unscrupulous nightclub comic.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.