John McCafferty
E265223
John McCafferty is an editor and scholar known for his work on the book "Lilies of the Field."
All labels observed (1)
| Label | Occurrences |
|---|---|
| John McCafferty canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2120187 — 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: John McCafferty Context triple: [Lilies of the Field, editedBy, John McCafferty]
-
A.
John Killoran
John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
B.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
C.
Tony Geraghty
Tony Geraghty was a member of the popular Irish cabaret group the Miami Showband who was killed in the notorious 1975 loyalist paramilitary attack in Northern Ireland.
-
D.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
-
E.
Francis Keally
Francis Keally was an American architect best known for his work on major public buildings in the early 20th century, particularly in New York City.
- 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: John McCafferty Target entity description: John McCafferty is an editor and scholar known for his work on the book "Lilies of the Field."
-
A.
John Killoran
John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
B.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
C.
Tony Geraghty
Tony Geraghty was a member of the popular Irish cabaret group the Miami Showband who was killed in the notorious 1975 loyalist paramilitary attack in Northern Ireland.
-
D.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
-
E.
Francis Keally
Francis Keally was an American architect best known for his work on major public buildings in the early 20th century, particularly in New York City.
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf |
editor
ⓘ
person ⓘ scholar ⓘ |
| hasRole | editor of "Lilies of the Field" ⓘ |
| knownFor | editing the book "Lilies of the Field" ⓘ |
| notableWork |
"Lilies of the Field"
ⓘ
linked to:
Lilies of the Field
|
| occupation |
editor
ⓘ
scholar ⓘ |
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: John McCafferty Description of subject: John McCafferty is an editor and scholar known for his work on the book "Lilies of the Field."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.