Lawrence Sher
E237044
Lawrence Sher is an American cinematographer best known for his visually distinctive work on films such as Joker (2019) and The Hangover series.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lawrence Sher canonical | 10 |
How this entity was disambiguated
This entity first appeared as the object of triple T1747866 — 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: Lawrence Sher Context triple: [Joker (2019 film), cinematographyBy, Lawrence Sher]
-
A.
Lawrence Bender
Lawrence Bender is an American film producer best known for his longtime collaboration with Quentin Tarantino on influential films such as "Pulp Fiction" and the "Kill Bill" series.
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B.
Lawrence Gordon
Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
-
C.
Ronald N. Perlman
Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
-
D.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
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E.
Lawrence Guth
Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
- 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: Lawrence Sher Target entity description: Lawrence Sher is an American cinematographer best known for his visually distinctive work on films such as Joker (2019) and The Hangover series.
-
A.
Lawrence Bender
Lawrence Bender is an American film producer best known for his longtime collaboration with Quentin Tarantino on influential films such as "Pulp Fiction" and the "Kill Bill" series.
-
B.
Lawrence Gordon
Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
-
C.
Ronald N. Perlman
Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
-
D.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
E.
Lawrence Guth
Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
- F. None of above. chosen
Statements (47)
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: Lawrence Sher Description of subject: Lawrence Sher is an American cinematographer best known for his visually distinctive work on films such as Joker (2019) and The Hangover series.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.