Tom Finan
E702924
Tom Finan is a film editor best known for his work on animated features such as Disney's "The Emperor's New Groove."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tom Finan canonical | 2 |
Statements (12)
| Predicate | Object |
|---|---|
| instanceOf |
film editor
ⓘ
person ⓘ |
| employer | Walt Disney Feature Animation NERFINISHED ⓘ |
| field | film editing ⓘ |
| industry | film industry ⓘ |
| knownFor |
The Emperor's New Groove
NERFINISHED
ⓘ
editing animated films ⓘ |
| languageOfWorkOrName | English ⓘ |
| nationality | American ⓘ |
| notableWorkType | animated feature film ⓘ |
| occupation | film editor ⓘ |
| workedOn | The Emperor's New Groove 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: Tom Finan Description of subject: Tom Finan is a film editor best known for his work on animated features such as Disney's "The Emperor's New Groove."
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.