Stephen Michael Largent
E833451
Stephen Michael Largent is a former American football wide receiver and Hall of Famer who became a U.S. Congressman from Oklahoma.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stephen Michael Largent canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9959936 — 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: Stephen Michael Largent Context triple: [Steve Largent, fullName, Stephen Michael Largent]
-
A.
Langdon Gilkey
Langdon Gilkey was an American theologian and author known for his reflections on faith, ethics, and human nature, particularly shaped by his experiences as a civilian internee in China during World War II.
-
B.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
C.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
D.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
E.
Stephen Holbrook
Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- 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: Stephen Michael Largent Target entity description: Stephen Michael Largent is a former American football wide receiver and Hall of Famer who became a U.S. Congressman from Oklahoma.
-
A.
Langdon Gilkey
Langdon Gilkey was an American theologian and author known for his reflections on faith, ethics, and human nature, particularly shaped by his experiences as a civilian internee in China during World War II.
-
B.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
C.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
D.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
E.
Stephen Holbrook
Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- F. None of above. chosen
Statements (23)
| Predicate | Object |
|---|---|
| instanceOf |
American football player
ⓘ
human ⓘ politician ⓘ |
| country | United States of America ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| electedIn | United States House of Representatives ⓘ |
| familyName | Largent ⓘ |
| givenName | Stephen ⓘ |
| hallOfFame | Pro Football Hall of Fame ⓘ |
| league | National Football League ⓘ |
| memberOfSportsTeam | Seattle Seahawks ⓘ |
| middleName | Michael ⓘ |
| notableAchievement |
career as star wide receiver for the Seattle Seahawks
ⓘ
induction into the Pro Football Hall of Fame ⓘ |
| notableWork | service as U.S. Congressman from Oklahoma ⓘ |
| occupation |
American football wide receiver
ⓘ
politician ⓘ |
| politicalOffice | member of the U.S. House of Representatives ⓘ |
| positionPlayed | wide receiver ⓘ |
| representedArea | Oklahoma ⓘ |
| residence | Oklahoma ⓘ |
| sexOrGender | male ⓘ |
| sport | American football ⓘ |
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: Stephen Michael Largent Description of subject: Stephen Michael Largent is a former American football wide receiver and Hall of Famer who became a U.S. Congressman from Oklahoma.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.