Sally Kellerman
E243080
Sally Kellerman was an American actress and singer best known for her Oscar-nominated role as Major Margaret "Hot Lips" Houlihan in the film MASH.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Sally Kellerman canonical | 10 |
| Sally Clare Kellerman | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2173076 — 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: Sally Kellerman Context triple: [MASH, starring, Sally Kellerman]
-
A.
Susan Patterson
Susan Patterson is an author and the wife and frequent collaborator of bestselling novelist James Patterson.
-
B.
Mary Higgins Clark
Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
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C.
Adrienne Nesser
Adrienne Nesser is an American activist and former boutique owner best known as the longtime wife of Green Day frontman Billie Joe Armstrong.
-
D.
Catherine Block
Catherine Block is a historic building within the Peterhof Palace complex near St. Petersburg, Russia, originally designed as a residence associated with Empress Catherine I.
-
E.
Beverly Gage
Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
- 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: Sally Kellerman Target entity description: Sally Kellerman was an American actress and singer best known for her Oscar-nominated role as Major Margaret "Hot Lips" Houlihan in the film MASH.
-
A.
Susan Patterson
Susan Patterson is an author and the wife and frequent collaborator of bestselling novelist James Patterson.
-
B.
Mary Higgins Clark
Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
-
C.
Adrienne Nesser
Adrienne Nesser is an American activist and former boutique owner best known as the longtime wife of Green Day frontman Billie Joe Armstrong.
-
D.
Catherine Block
Catherine Block is a historic building within the Peterhof Palace complex near St. Petersburg, Russia, originally designed as a residence associated with Empress Catherine I.
-
E.
Beverly Gage
Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
- 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: Sally Kellerman Description of subject: Sally Kellerman was an American actress and singer best known for her Oscar-nominated role as Major Margaret "Hot Lips" Houlihan in the film MASH.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.