Maureen Stapleton
E72814
Maureen Stapleton was an acclaimed American actress of stage, film, and television, known for her powerful character roles and multiple Academy Award nominations.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Maureen Stapleton canonical | 33 |
| Lois Maureen Stapleton | 2 |
| Maureen Stapleton received critical acclaim for her performance | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T577795 — 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: Maureen Stapleton Context triple: [Cocoon, starredActor, Maureen Stapleton]
-
A.
Thelma Ritter
Thelma Ritter was an acclaimed American character actress known for her sharp-tongued, humorous supporting roles in classic mid-20th-century films and for receiving multiple Academy Award nominations.
-
B.
Agnes Moorehead
Agnes Moorehead was an American actress renowned for her powerful character roles in film, radio, and television, notably in Orson Welles’s Mercury Theatre and as Endora on the TV series "Bewitched."
-
C.
Karen Black
Karen Black was an American actress known for her distinctive roles in 1960s–1970s New Hollywood films such as "Easy Rider," "Five Easy Pieces," and "The Great Gatsby."
-
D.
Jessica Tandy
Jessica Tandy was an acclaimed British-American actress known for her distinguished stage and film career, including her Academy Award–winning performance in "Driving Miss Daisy."
-
E.
Anne Baxter
Anne Baxter was an American actress known for her Academy Award–winning and nominated performances in classic films such as "The Razor's Edge," "All About Eve," and "The Ten Commandments."
- 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: Maureen Stapleton Target entity description: Maureen Stapleton was an acclaimed American actress of stage, film, and television, known for her powerful character roles and multiple Academy Award nominations.
-
A.
Thelma Ritter
Thelma Ritter was an acclaimed American character actress known for her sharp-tongued, humorous supporting roles in classic mid-20th-century films and for receiving multiple Academy Award nominations.
-
B.
Agnes Moorehead
Agnes Moorehead was an American actress renowned for her powerful character roles in film, radio, and television, notably in Orson Welles’s Mercury Theatre and as Endora on the TV series "Bewitched."
-
C.
Karen Black
Karen Black was an American actress known for her distinctive roles in 1960s–1970s New Hollywood films such as "Easy Rider," "Five Easy Pieces," and "The Great Gatsby."
-
D.
Jessica Tandy
Jessica Tandy was an acclaimed British-American actress known for her distinguished stage and film career, including her Academy Award–winning performance in "Driving Miss Daisy."
-
E.
Anne Baxter
Anne Baxter was an American actress known for her Academy Award–winning and nominated performances in classic films such as "The Razor's Edge," "All About Eve," and "The Ten Commandments."
- F. None of above. chosen
Statements (50)
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: Maureen Stapleton Description of subject: Maureen Stapleton was an acclaimed American actress of stage, film, and television, known for her powerful character roles and multiple Academy Award nominations.
Referenced by (36)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Maureen Stapleton
subject linked to:
Lois
linked to: Maureen Stapleton
Lonelyhearts
→
criticalReception
→
Maureen Stapleton received critical acclaim for her performance
ⓘ
linked to: Maureen Stapleton
subject linked to:
Inez Guerrero in Airport
subject linked to:
Heartburn (film)
subject linked to:
The Gathering