Patricia Farina
E840284
Patricia Farina is best known as the wife of the late American actor and former Chicago police officer Dennis Farina.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Patricia Farina canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9998817 — 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: Patricia Farina Context triple: [Dennis Farina, spouse, Patricia Farina]
-
A.
Lyda Roberti
Lyda Roberti was a Polish-born American stage and film actress of the early 1930s, known for her comedic roles, distinctive accent, and appearances in Hollywood musicals and comedies.
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B.
Patricia Roccuzzo
Patricia Roccuzzo is the maternal grandmother of Thiago Messi, the eldest son of footballer Lionel Messi and Antonela Roccuzzo.
-
C.
Patricia Roc
Patricia Roc was a popular British film actress of the 1940s, best known for her roles in melodramas and wartime dramas produced by major UK studios.
-
D.
Patricia Danova
Patricia Danova is known as the spouse of Italian-American actor Cesare Danova.
-
E.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
- 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: Patricia Farina Target entity description: Patricia Farina is best known as the wife of the late American actor and former Chicago police officer Dennis Farina.
-
A.
Lyda Roberti
Lyda Roberti was a Polish-born American stage and film actress of the early 1930s, known for her comedic roles, distinctive accent, and appearances in Hollywood musicals and comedies.
-
B.
Patricia Roccuzzo
Patricia Roccuzzo is the maternal grandmother of Thiago Messi, the eldest son of footballer Lionel Messi and Antonela Roccuzzo.
-
C.
Patricia Roc
Patricia Roc was a popular British film actress of the 1940s, best known for her roles in melodramas and wartime dramas produced by major UK studios.
-
D.
Patricia Danova
Patricia Danova is known as the spouse of Italian-American actor Cesare Danova.
-
E.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
- F. None of above. chosen
Statements (4)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| notableFor | being the wife of American actor and former Chicago police officer Dennis Farina ⓘ |
| spouse | Dennis Farina 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: Patricia Farina Description of subject: Patricia Farina is best known as the wife of the late American actor and former Chicago police officer Dennis Farina.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.