Triple

T11416387
Position Surface form Disambiguated ID Type / Status
Subject Rochester Van Jones E270501 entity
Predicate fullName P16 FINISHED
Object Rochester Van Jones E270501 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rochester Van Jones | Statement: [Rochester Van Jones, fullName, Rochester Van Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochester Van Jones
Context triple: [Rochester Van Jones, fullName, Rochester Van Jones]
  • A. Rochester Van Jones chosen
    Rochester Van Jones is a popular comedic character from the classic radio and television series "The Jack Benny Program," known for his sharp wit and humorous exchanges with Jack Benny.
  • B. Van Jones
    Van Jones is an American attorney, author, and political commentator known for his work on civil rights, criminal justice reform, and environmental advocacy.
  • C. John Nichols
    John Nichols is an American journalist and author known for his progressive political commentary and work with The Nation magazine.
  • D. John Nichols
    John Nichols is an American novelist best known for works such as "The Sterile Cuckoo" and his politically charged "New Mexico Trilogy."
  • E. John Nichols
    John Nichols is an American local politician serving as the mayor of College Station, Texas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b87ca7408190a4962bbaf89222bf completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.