Anne Ramsey
E856725
Anne Ramsey was an American character actress best known for her distinctive gravelly voice and memorable roles in films like "Throw Momma from the Train" and "The Goonies."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Anne Ramsey canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T10236482 — 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: Anne Ramsey Context triple: [Weeds, starring, Anne Ramsey]
-
A.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
B.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
-
C.
Amanda Burton
Amanda Burton is a Northern Irish actress best known for starring as forensic pathologist Dr. Sam Ryan in the British crime drama series "Silent Witness."
-
D.
Carol Bridger
Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
-
E.
Lorraine Kirke
Lorraine Kirke is a British-born New York boutique owner and costume designer known for her bohemian fashion aesthetic and as the mother of actress Jemima Kirke.
- 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: Anne Ramsey Target entity description: Anne Ramsey was an American character actress best known for her distinctive gravelly voice and memorable roles in films like "Throw Momma from the Train" and "The Goonies."
-
A.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
B.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
-
C.
Amanda Burton
Amanda Burton is a Northern Irish actress best known for starring as forensic pathologist Dr. Sam Ryan in the British crime drama series "Silent Witness."
-
D.
Carol Bridger
Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
-
E.
Lorraine Kirke
Lorraine Kirke is a British-born New York boutique owner and costume designer known for her bohemian fashion aesthetic and as the mother of actress Jemima Kirke.
- 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: Anne Ramsey Description of subject: Anne Ramsey was an American character actress best known for her distinctive gravelly voice and memorable roles in films like "Throw Momma from the Train" and "The Goonies."
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.