Patrick Hastings
E684071
Patrick Hastings is a writer best known for authoring the work titled "The River."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Patrick Hastings canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T7558108 — 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: Patrick Hastings Context triple: [The River, author, Patrick Hastings]
-
A.
Patrick Hasburgh
Patrick Hasburgh is an American television writer, producer, and director best known as the co-creator of the series "21 Jump Street" and for his work on various action and drama shows.
-
B.
Nick Hastie
Nick Hastie is a prominent British geneticist known for his influential research in developmental genetics and cancer biology.
-
C.
Kevin Hancock
Kevin Hancock is the brother of American filmmaker John Lee Hancock, known for his work as a director and screenwriter.
-
D.
Henry Hackett
Henry Hackett is the driven, overworked metro editor of a New York City tabloid newspaper in the film "The Paper," juggling ethical dilemmas, breaking news, and his strained personal life.
-
E.
Joe Hassett
Joe Hassett is a former American professional basketball player and sharpshooting guard who played in the NBA during the late 1970s and early 1980s.
- 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: Patrick Hastings Target entity description: Patrick Hastings is a writer best known for authoring the work titled "The River."
-
A.
Patrick Hasburgh
Patrick Hasburgh is an American television writer, producer, and director best known as the co-creator of the series "21 Jump Street" and for his work on various action and drama shows.
-
B.
Nick Hastie
Nick Hastie is a prominent British geneticist known for his influential research in developmental genetics and cancer biology.
-
C.
Kevin Hancock
Kevin Hancock is the brother of American filmmaker John Lee Hancock, known for his work as a director and screenwriter.
-
D.
Henry Hackett
Henry Hackett is the driven, overworked metro editor of a New York City tabloid newspaper in the film "The Paper," juggling ethical dilemmas, breaking news, and his strained personal life.
-
E.
Joe Hassett
Joe Hassett is a former American professional basketball player and sharpshooting guard who played in the NBA during the late 1970s and early 1980s.
- F. None of above. chosen
Statements (6)
| Predicate | Object |
|---|---|
| instanceOf |
literary work
ⓘ
writer ⓘ |
| author | Patrick Hastings ⓘ |
| authorOf | The River ⓘ |
| notableWork | The River ⓘ |
| occupation | writer ⓘ |
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: Patrick Hastings Description of subject: Patrick Hastings is a writer best known for authoring the work titled "The River."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.