George Arliss
E407959
George Arliss was an English stage and film actor of the early 20th century, best known for his sophisticated character roles and for winning an Academy Award for Best Actor for "Disraeli" (1929).
All labels observed (1)
| Label | Occurrences |
|---|---|
| George Arliss canonical | 11 |
How this entity was disambiguated
This entity first appeared as the object of triple T4029936 — 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.
Target entity: George Arliss Context triple: [The Green Goddess (1923 film), starring, George Arliss]
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A.
Colin Clive
Colin Clive was a British actor best known for his iconic portrayal of Dr. Henry Frankenstein in the classic 1930s horror films "Frankenstein" and "Bride of Frankenstein."
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B.
Robert Morley
Robert Morley was a British character actor known for his portly figure, distinctive voice, and comic roles in mid-20th-century films and stage productions.
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C.
Michael Wilding
Michael Wilding was a British film and stage actor best known for his roles in 1940s–1950s British cinema and for his high-profile marriage to actress Elizabeth Taylor.
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D.
Richard Todd
Richard Todd was an Irish-born British actor best known for his roles in classic war films such as "The Dam Busters" and "The Longest Day."
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E.
George Brent
George Brent was an Irish-American leading man of 1930s and 1940s Hollywood cinema, known for his suave screen presence opposite stars like Bette Davis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: George Arliss Target entity description: George Arliss was an English stage and film actor of the early 20th century, best known for his sophisticated character roles and for winning an Academy Award for Best Actor for "Disraeli" (1929).
-
A.
Colin Clive
Colin Clive was a British actor best known for his iconic portrayal of Dr. Henry Frankenstein in the classic 1930s horror films "Frankenstein" and "Bride of Frankenstein."
-
B.
Robert Morley
Robert Morley was a British character actor known for his portly figure, distinctive voice, and comic roles in mid-20th-century films and stage productions.
-
C.
Michael Wilding
Michael Wilding was a British film and stage actor best known for his roles in 1940s–1950s British cinema and for his high-profile marriage to actress Elizabeth Taylor.
-
D.
Richard Todd
Richard Todd was an Irish-born British actor best known for his roles in classic war films such as "The Dam Busters" and "The Longest Day."
-
E.
George Brent
George Brent was an Irish-American leading man of 1930s and 1940s Hollywood cinema, known for his suave screen presence opposite stars like Bette Davis.
- F. None of above. chosen
Statements (49)
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.
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.
Subject: George Arliss Description of subject: George Arliss was an English stage and film actor of the early 20th century, best known for his sophisticated character roles and for winning an Academy Award for Best Actor for "Disraeli" (1929).
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.