Scott Johnston
E1038736
Scott Johnston is a technology executive and entrepreneur best known as a co-founder of Anthropic, an AI safety and research company.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Scott Johnston canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13425197 — 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: Scott Johnston Context triple: [Anthropic, foundedBy, Scott Johnston]
-
A.
Mike Johnston
Mike Johnston is an American educator, former Colorado state senator, and Democratic politician who became mayor of Denver.
-
B.
Jack Cummings
Jack Cummings was an American film producer best known for his work on classic MGM musicals in the mid-20th century.
-
C.
Brad Oscar
Brad Oscar is an American stage actor and singer best known for his comedic roles in major Broadway musicals, including his acclaimed work in Mel Brooks’s The Producers.
-
D.
Ken Cosgrove
Ken Cosgrove is a charming, ambitious account executive and aspiring writer on the television series "Mad Men."
-
E.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
- 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: Scott Johnston Target entity description: Scott Johnston is a technology executive and entrepreneur best known as a co-founder of Anthropic, an AI safety and research company.
-
A.
Mike Johnston
Mike Johnston is an American educator, former Colorado state senator, and Democratic politician who became mayor of Denver.
-
B.
Jack Cummings
Jack Cummings was an American film producer best known for his work on classic MGM musicals in the mid-20th century.
-
C.
Brad Oscar
Brad Oscar is an American stage actor and singer best known for his comedic roles in major Broadway musicals, including his acclaimed work in Mel Brooks’s The Producers.
-
D.
Ken Cosgrove
Ken Cosgrove is a charming, ambitious account executive and aspiring writer on the television series "Mad Men."
-
E.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence company
ⓘ
entrepreneur ⓘ technology executive ⓘ |
| coFounded | Anthropic NERFINISHED ⓘ |
| field |
artificial intelligence
ⓘ
technology industry ⓘ |
| focusesOn |
AI research
ⓘ
AI safety ⓘ |
| headquartersLocation | San Francisco NERFINISHED ⓘ |
| industry | artificial intelligence ⓘ |
| knownFor | co-founding Anthropic ⓘ |
| notableWork | Anthropic NERFINISHED ⓘ |
| occupation |
entrepreneur
ⓘ
technology executive ⓘ |
| roleAtAnthropic | co-founder ⓘ |
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: Scott Johnston Description of subject: Scott Johnston is a technology executive and entrepreneur best known as a co-founder of Anthropic, an AI safety and research company.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.