Martin Landau
E78240
Martin Landau was an American actor renowned for his versatile film and television roles, including an Oscar-winning performance as Bela Lugosi in "Ed Wood."
All labels observed (2)
| Label | Occurrences |
|---|---|
| Martin Landau canonical | 27 |
| Martin James Landau | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T560775 — 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: Martin Landau Context triple: [Golden Globe Award for Best Supporting Actor – Motion Picture, notableRecipient, Martin Landau]
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A.
John Lithgow
John Lithgow is an American actor acclaimed for his versatile performances in film, television, and theater, known for roles ranging from the sitcom "3rd Rock from the Sun" to dramatic turns in works like "The Crown" and "Dexter."
-
B.
Bruce Dern
Bruce Dern is an acclaimed American character actor known for his intense, often villainous roles in films such as "Nebraska," "Coming Home," and numerous collaborations with directors like Quentin Tarantino.
-
C.
George Sanders
George Sanders was a British actor known for his sophisticated, sardonic screen presence and acclaimed performances in classic Hollywood films, including his Oscar-winning role in "All About Eve."
-
D.
Burgess Meredith
Burgess Meredith was an American actor and director best known for his versatile character roles in film, television, and theater, including his iconic performance as the Penguin in the 1960s Batman TV series.
-
E.
Craig T. Nelson
Craig T. Nelson is an American actor best known for his Emmy-winning role as football coach Hayden Fox on the TV sitcom "Coach" and for voicing Bob Parr/Mr. Incredible in Pixar's "The Incredibles" films.
- 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: Martin Landau Target entity description: Martin Landau was an American actor renowned for his versatile film and television roles, including an Oscar-winning performance as Bela Lugosi in "Ed Wood."
-
A.
John Lithgow
John Lithgow is an American actor acclaimed for his versatile performances in film, television, and theater, known for roles ranging from the sitcom "3rd Rock from the Sun" to dramatic turns in works like "The Crown" and "Dexter."
-
B.
Bruce Dern
Bruce Dern is an acclaimed American character actor known for his intense, often villainous roles in films such as "Nebraska," "Coming Home," and numerous collaborations with directors like Quentin Tarantino.
-
C.
George Sanders
George Sanders was a British actor known for his sophisticated, sardonic screen presence and acclaimed performances in classic Hollywood films, including his Oscar-winning role in "All About Eve."
-
D.
Burgess Meredith
Burgess Meredith was an American actor and director best known for his versatile character roles in film, television, and theater, including his iconic performance as the Penguin in the 1960s Batman TV series.
-
E.
Craig T. Nelson
Craig T. Nelson is an American actor best known for his Emmy-winning role as football coach Hayden Fox on the TV sitcom "Coach" and for voicing Bob Parr/Mr. Incredible in Pixar's "The Incredibles" films.
- F. None of above. chosen
Statements (48)
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: Martin Landau Description of subject: Martin Landau was an American actor renowned for his versatile film and television roles, including an Oscar-winning performance as Bela Lugosi in "Ed Wood."
Referenced by (28)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Love, Antosha
this entity surface form:
Martin James Landau
subject surface form:
Rollin Hand
subject surface form:
Commander John Koenig
subject surface form:
Judah Rosenthal