Mary Leahy
E793971
Mary Leahy is a notable individual who shares the surname Leahy and has achieved sufficient recognition to be specifically cited as a bearer of the name.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mary Leahy canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6975317 — 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: Mary Leahy Context triple: [Leahy, hasNotableBearer, Mary Leahy]
-
A.
Mary Mulhern
Mary Mulhern was an American actress best known for her brief Hollywood career in the silent film era and her marriage to actor Jack Pickford.
-
B.
Mary Healy
Mary Healy was an American actress and singer known for her work in film, television, and on stage, often performing alongside her husband, entertainer Peter Lind Hayes.
-
C.
Mary Connelly
Mary Connelly is a television producer best known for her work as an executive producer on major daytime talk shows, including The Jennifer Hudson Show.
-
D.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
E.
Margaret O'Leary
Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
- 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: Mary Leahy Target entity description: Mary Leahy is a notable individual who shares the surname Leahy and has achieved sufficient recognition to be specifically cited as a bearer of the name.
-
A.
Mary Mulhern
Mary Mulhern was an American actress best known for her brief Hollywood career in the silent film era and her marriage to actor Jack Pickford.
-
B.
Mary Healy
Mary Healy was an American actress and singer known for her work in film, television, and on stage, often performing alongside her husband, entertainer Peter Lind Hayes.
-
C.
Mary Connelly
Mary Connelly is a television producer best known for her work as an executive producer on major daytime talk shows, including The Jennifer Hudson Show.
-
D.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
E.
Margaret O'Leary
Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
- F. None of above. chosen
Statements (3)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| familyName | Leahy NERFINISHED ⓘ |
| name | Mary Leahy NERFINISHED ⓘ |
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: Mary Leahy Description of subject: Mary Leahy is a notable individual who shares the surname Leahy and has achieved sufficient recognition to be specifically cited as a bearer of the name.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.