Michael Badnarik
E186039
Michael Badnarik was a libertarian political activist, constitutional lecturer, and the Libertarian Party’s nominee for U.S. president in 2004.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Badnarik canonical | 9 |
How this entity was disambiguated
This entity first appeared as the object of triple T1534955 — 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: Michael Badnarik Context triple: [2004 United States presidential election, majorThirdPartyCandidate, Michael Badnarik]
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A.
Chris Malachowsky
Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
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B.
John Sarrao
John Sarrao is an American physicist and scientific leader known for his work in condensed matter physics and for directing major U.S. research institutions, including the SLAC National Accelerator Laboratory.
-
C.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
D.
Bill Murto
Bill Murto is an American businessman best known as one of the three co-founders of the computer company Compaq.
-
E.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
- 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: Michael Badnarik Target entity description: Michael Badnarik was a libertarian political activist, constitutional lecturer, and the Libertarian Party’s nominee for U.S. president in 2004.
-
A.
Chris Malachowsky
Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
-
B.
John Sarrao
John Sarrao is an American physicist and scientific leader known for his work in condensed matter physics and for directing major U.S. research institutions, including the SLAC National Accelerator Laboratory.
-
C.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
D.
Bill Murto
Bill Murto is an American businessman best known as one of the three co-founders of the computer company Compaq.
-
E.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
- F. None of above. chosen
Statements (47)
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: Michael Badnarik Description of subject: Michael Badnarik was a libertarian political activist, constitutional lecturer, and the Libertarian Party’s nominee for U.S. president in 2004.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.