Steve Bloom
E257348
Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Steve Bloom canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2330628 — 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: Steve Bloom Context triple: [Turning Red, editedBy, Steve Bloom]
-
A.
Brian Bilello
Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
-
B.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
C.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
D.
John Bloom
John Bloom is a film editor best known for his Academy Award-winning work on movies such as "Gandhi" and his editing contributions to notable films including "Charlie Wilson's War."
-
E.
Jeff Fager
Jeff Fager is an American television producer best known for leading and shaping the long-running CBS news magazine program "60 Minutes."
- 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: Steve Bloom Target entity description: Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
-
A.
Brian Bilello
Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
-
B.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
C.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
D.
John Bloom
John Bloom is a film editor best known for his Academy Award-winning work on movies such as "Gandhi" and his editing contributions to notable films including "Charlie Wilson's War."
-
E.
Jeff Fager
Jeff Fager is an American television producer best known for leading and shaping the long-running CBS news magazine program "60 Minutes."
- F. None of above. chosen
Statements (7)
| Predicate | Object |
|---|---|
| instanceOf |
animated feature film
ⓘ
film editor ⓘ |
| knownFor |
Turning Red
ⓘ
film editing ⓘ |
| occupation | film editor ⓘ |
| producer | Pixar Animation Studios ⓘ |
| workedOn | Turning Red ⓘ |
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: Steve Bloom Description of subject: Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.