Peter V. Daniel
E904852
Peter V. Daniel was a 19th-century American jurist who served as an Associate Justice of the U.S. Supreme Court and was known for his pro-slavery and states’ rights opinions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Peter V. Daniel canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10673706 — 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: Peter V. Daniel Context triple: [Taney Court, hasAssociateJustice, Peter V. Daniel]
-
A.
Edward Reeves
Edward Reeves was a teacher and mentor known for instructing Lionel Logue, the Australian speech therapist famous for treating King George VI.
-
B.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
C.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
D.
Paul Kellerman
Paul Kellerman is a key antagonist in the television series "Prison Break," a Secret Service agent deeply involved in the conspiracy framing Lincoln Burrows.
-
E.
David C. Plummer
David C. Plummer is a computer scientist best known for authoring the ARP (Address Resolution Protocol) specification and contributing to early Internet networking standards.
- 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: Peter V. Daniel Target entity description: Peter V. Daniel was a 19th-century American jurist who served as an Associate Justice of the U.S. Supreme Court and was known for his pro-slavery and states’ rights opinions.
-
A.
Edward Reeves
Edward Reeves was a teacher and mentor known for instructing Lionel Logue, the Australian speech therapist famous for treating King George VI.
-
B.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
C.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
D.
Paul Kellerman
Paul Kellerman is a key antagonist in the television series "Prison Break," a Secret Service agent deeply involved in the conspiracy framing Lincoln Burrows.
-
E.
David C. Plummer
David C. Plummer is a computer scientist best known for authoring the ARP (Address Resolution Protocol) specification and contributing to early Internet networking standards.
- F. None of above. chosen
Statements (45)
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: Peter V. Daniel Description of subject: Peter V. Daniel was a 19th-century American jurist who served as an Associate Justice of the U.S. Supreme Court and was known for his pro-slavery and states’ rights opinions.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.