Stephen Bloom
E318691
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stephen Bloom canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2919944 — 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: Stephen Bloom Context triple: [Bang Bang, worksWith, Stephen Bloom]
-
A.
Stephen Goldblatt
Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
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B.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
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C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Stephen Evans
Stephen Evans is a British film producer best known for his work on acclaimed literary and period adaptations, including the 1993 film "Much Ado About Nothing."
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E.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
- 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: Stephen Bloom Target entity description: Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
-
A.
Stephen Goldblatt
Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
-
B.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Stephen Evans
Stephen Evans is a British film producer best known for his work on acclaimed literary and period adaptations, including the 1993 film "Much Ado About Nothing."
-
E.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
- F. None of above. chosen
Statements (5)
| Predicate | Object |
|---|---|
| instanceOf | person ⓘ |
| associatedWithWork | Bang Bang ⓘ |
| knownFor | Bang Bang ⓘ |
| profession | professional collaborator ⓘ |
| roleInProject | collaborator on Bang Bang ⓘ |
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: Stephen Bloom Description of subject: Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.