Arnold Messer
E551163
Arnold Messer is a film producer known for his work on movies such as "License to Wed."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Arnold Messer canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T5741286 — 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: Arnold Messer Context triple: [License to Wed, producer, Arnold Messer]
-
A.
Arnold Messer
Arnold Messer is a film producer best known for his work on the crime thriller "Zodiac."
-
B.
Arnold W. Messer
Arnold W. Messer is a film producer known for his work on notable movies including the psychological thriller "Black Swan."
-
C.
Arnold Schlaet
Arnold Schlaet was an American businessman best known as a co-founder of the oil company that became Texaco.
-
D.
Paul Schatz
Paul Schatz was a German engineer and inventor best known for discovering the invertible cube and developing related kinetic geometric sculptures.
-
E.
Werner R. Heymann
Werner R. Heymann was a German composer best known for his sophisticated film scores in Hollywood’s Golden Age, particularly for classic comedies and romances.
- 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: Arnold Messer Target entity description: Arnold Messer is a film producer known for his work on movies such as "License to Wed."
-
A.
Arnold Messer
Arnold Messer is a film producer best known for his work on the crime thriller "Zodiac."
-
B.
Arnold W. Messer
Arnold W. Messer is a film producer known for his work on notable movies including the psychological thriller "Black Swan."
-
C.
Arnold Schlaet
Arnold Schlaet was an American businessman best known as a co-founder of the oil company that became Texaco.
-
D.
Paul Schatz
Paul Schatz was a German engineer and inventor best known for discovering the invertible cube and developing related kinetic geometric sculptures.
-
E.
Werner R. Heymann
Werner R. Heymann was a German composer best known for his sophisticated film scores in Hollywood’s Golden Age, particularly for classic comedies and romances.
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf | film producer ⓘ |
| countryOfCitizenship |
United States
ⓘ
linked to:
United States of America
|
| fieldOfWork | film production ⓘ |
| industry | film industry ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableWork | License to Wed ⓘ |
| occupation | film producer ⓘ |
| workedOn | License to Wed ⓘ |
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: Arnold Messer Description of subject: Arnold Messer is a film producer known for his work on movies such as "License to Wed."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
All the King's Men
subject linked to:
What to Expect When You're Expecting (film)