Stanley Warnow
E917875
Stanley Warnow is a film editor best known for his work on movies such as the 1979 musical comedy "Hair."
All labels observed (2)
| Label | Occurrences |
|---|---|
| Stan Warnow | 1 |
| Stanley Warnow canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11299734 — 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: Stanley Warnow Context triple: [Hair (1979 film), editedBy, Stanley Warnow]
-
A.
Richard Huelsenbeck
Richard Huelsenbeck was a German poet, writer, and psychoanalyst who was a leading founding member and theorist of the Dada movement in Zurich and Berlin.
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B.
Gene Page
Gene Page was an American arranger, producer, and conductor best known for his lush orchestral work on numerous soul, R&B, and pop recordings from the 1960s through the 1980s.
-
C.
Michael Turelli
Michael Turelli is an evolutionary biologist known for his influential theoretical work on population genetics, speciation, and the dynamics of endosymbionts such as Wolbachia.
-
D.
John C. Avise
John C. Avise is an American evolutionary geneticist renowned for pioneering the use of molecular markers to study natural populations, phylogeography, and conservation biology.
-
E.
David Resnik
David Resnik is an American bioethicist known for his work on research ethics, scientific integrity, and the ethical implications of environmental and public health policy.
- 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: Stanley Warnow Target entity description: Stanley Warnow is a film editor best known for his work on movies such as the 1979 musical comedy "Hair."
-
A.
Richard Huelsenbeck
Richard Huelsenbeck was a German poet, writer, and psychoanalyst who was a leading founding member and theorist of the Dada movement in Zurich and Berlin.
-
B.
Gene Page
Gene Page was an American arranger, producer, and conductor best known for his lush orchestral work on numerous soul, R&B, and pop recordings from the 1960s through the 1980s.
-
C.
Michael Turelli
Michael Turelli is an evolutionary biologist known for his influential theoretical work on population genetics, speciation, and the dynamics of endosymbionts such as Wolbachia.
-
D.
John C. Avise
John C. Avise is an American evolutionary geneticist renowned for pioneering the use of molecular markers to study natural populations, phylogeography, and conservation biology.
-
E.
David Resnik
David Resnik is an American bioethicist known for his work on research ethics, scientific integrity, and the ethical implications of environmental and public health policy.
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf | film editor ⓘ |
| activeInField | film editing ⓘ |
| countryOfWork |
United States
ⓘ
linked to:
United States of America
|
| genreSpecialization | musical comedy films ⓘ |
| notableFor | editing the 1979 musical comedy film "Hair" ⓘ |
| notableWork | Hair (1979 film) ⓘ |
| occupation | film editor ⓘ |
| workedOn | Hair (1979 film) ⓘ |
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: Stanley Warnow Description of subject: Stanley Warnow is a film editor best known for his work on movies such as the 1979 musical comedy "Hair."
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.