Kevin Manthei
E701648
Kevin Manthei is an American composer known for his work on film, television, and video game scores, particularly in the animation and superhero genres.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kevin Manthei canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T7794951 — 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: Kevin Manthei Context triple: [Ultimate Spider-Man (TV series), composer, Kevin Manthei]
-
A.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
B.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
-
E.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
- 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: Kevin Manthei Target entity description: Kevin Manthei is an American composer known for his work on film, television, and video game scores, particularly in the animation and superhero genres.
-
A.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
B.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
-
E.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
- F. None of above. chosen
Statements (53)
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: Kevin Manthei Description of subject: Kevin Manthei is an American composer known for his work on film, television, and video game scores, particularly in the animation and superhero genres.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.