Parker Laramie
E315762
Parker Laramie is an editor known for working on the film "Jockey."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Parker Laramie canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2995680 — 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: Parker Laramie Context triple: [Jockey, editedBy, Parker Laramie]
-
A.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
-
B.
Brennan Chapman
Brennan Chapman is a cinematographer known for his work on the animated feature film "The Super Mario Bros. Movie."
-
C.
Sage Kotsenburg
Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
-
D.
Brooks Hatlen
Brooks Hatlen is an elderly prison librarian in "The Shawshank Redemption" whose tragic struggle to adapt to life outside prison highlights the film’s themes of institutionalization and hopelessness.
-
E.
Garrett Camp
Garrett Camp is a Canadian entrepreneur and investor best known as the co-founder of Uber and the founder of the discovery platform StumbleUpon.
- 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: Parker Laramie Target entity description: Parker Laramie is an editor known for working on the film "Jockey."
-
A.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
-
B.
Brennan Chapman
Brennan Chapman is a cinematographer known for his work on the animated feature film "The Super Mario Bros. Movie."
-
C.
Sage Kotsenburg
Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
-
D.
Brooks Hatlen
Brooks Hatlen is an elderly prison librarian in "The Shawshank Redemption" whose tragic struggle to adapt to life outside prison highlights the film’s themes of institutionalization and hopelessness.
-
E.
Garrett Camp
Garrett Camp is a Canadian entrepreneur and investor best known as the co-founder of Uber and the founder of the discovery platform StumbleUpon.
- F. None of above. chosen
Statements (5)
| Predicate | Object |
|---|---|
| instanceOf | film editor ⓘ |
| countryOfCitizenship |
United States
ⓘ
linked to:
United States of America
|
| knownFor | editing the film "Jockey" ⓘ |
| occupation | film editor ⓘ |
| workedOn | Jockey ⓘ |
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: Parker Laramie Description of subject: Parker Laramie is an editor known for working on the film "Jockey."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.