Dan Feltes
E399943
Dan Feltes is an American lawyer and Democratic politician who served in the New Hampshire State Senate and ran for governor of New Hampshire in 2020.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dan Feltes canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T3939155 — 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: Dan Feltes Context triple: [2020 New Hampshire gubernatorial election, democraticNominee, Dan Feltes]
-
A.
Robert Hohman
Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
-
B.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
C.
Fredric Steinkamp
Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
-
D.
Lyle Bettger
Lyle Bettger was an American character actor best known for his frequent portrayals of suave villains in mid-20th-century Hollywood films and television.
-
E.
Larry Gies
Larry Gies is an American businessman and philanthropist whose major donation to the University of Illinois led to its business school being named the Gies College of Business in his honor.
- 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: Dan Feltes Target entity description: Dan Feltes is an American lawyer and Democratic politician who served in the New Hampshire State Senate and ran for governor of New Hampshire in 2020.
-
A.
Robert Hohman
Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
-
B.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
C.
Fredric Steinkamp
Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
-
D.
Lyle Bettger
Lyle Bettger was an American character actor best known for his frequent portrayals of suave villains in mid-20th-century Hollywood films and television.
-
E.
Larry Gies
Larry Gies is an American businessman and philanthropist whose major donation to the University of Illinois led to its business school being named the Gies College of Business in his honor.
- F. None of above. chosen
Statements (27)
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: Dan Feltes Description of subject: Dan Feltes is an American lawyer and Democratic politician who served in the New Hampshire State Senate and ran for governor of New Hampshire in 2020.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.