Ben Browning
E1029917
Ben Browning is a film producer known for working on high-profile independent and studio-backed movies, including the political thriller "Miss Sloane."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ben Browning canonical | 2 |
Statements (11)
| Predicate | Object |
|---|---|
| instanceOf |
film
ⓘ
film producer ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| countryOfWork |
United States of America
ⓘ
surface form:
United States
|
| genre |
political thriller
ⓘ
political thriller ⓘ |
| industry | film industry ⓘ |
| notableWork | Miss Sloane NERFINISHED ⓘ |
| occupation | film producer ⓘ |
| worksOn |
independent films
ⓘ
studio-backed films ⓘ |
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: Ben Browning Description of subject: Ben Browning is a film producer known for working on high-profile independent and studio-backed movies, including the political thriller "Miss Sloane."
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.