Laura Kerr
E616329
Laura Kerr was a screenwriter known for her work on the film "The Farmer’s Daughter."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Laura Kerr canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6653979 — 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: Laura Kerr Context triple: [The Farmer’s Daughter, screenwriter, Laura Kerr]
-
A.
Rachael MacFarlane
Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
-
B.
Katherine LaNasa
Katherine LaNasa is an American actress, former ballet dancer, and choreographer known for her work in film and television, including roles in series like "Three Sisters" and "Deception."
-
C.
Carol Kelly
Carol Kelly is an American actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
D.
Heather MacLachlan
Heather MacLachlan is best known as the wife of former U.S. Senator and diplomat George J. Mitchell.
-
E.
Kathryn Price
Kathryn Price is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
- 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: Laura Kerr Target entity description: Laura Kerr was a screenwriter known for her work on the film "The Farmer’s Daughter."
-
A.
Rachael MacFarlane
Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
-
B.
Katherine LaNasa
Katherine LaNasa is an American actress, former ballet dancer, and choreographer known for her work in film and television, including roles in series like "Three Sisters" and "Deception."
-
C.
Carol Kelly
Carol Kelly is an American actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
D.
Heather MacLachlan
Heather MacLachlan is best known as the wife of former U.S. Senator and diplomat George J. Mitchell.
-
E.
Kathryn Price
Kathryn Price is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf |
film
ⓘ
person ⓘ screenwriter ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| genre | comedy film ⓘ |
| knownFor | The Farmer’s Daughter NERFINISHED ⓘ |
| notableWork | The Farmer’s Daughter NERFINISHED ⓘ |
| occupation | screenwriter ⓘ |
| workOn | The Farmer’s Daughter 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: Laura Kerr Description of subject: Laura Kerr was a screenwriter known for her work on the film "The Farmer’s Daughter."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.