Triple

T3130587
Position Surface form Disambiguated ID Type / Status
Subject 13th E65400 entity
Predicate featuresInterviewWith P17405 FINISHED
Object Van Jones E218989 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: Van Jones | Statement: [13th, featuresInterviewWith, Van Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Jones
Context triple: [13th, featuresInterviewWith, Van Jones]
  • A. Van Jones chosen
    Van Jones is an American attorney, author, and political commentator known for his work on civil rights, criminal justice reform, and environmental advocacy.
  • B. Rochester Van Jones
    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.
  • C. Anthony G. Brown
    Anthony G. Brown is an American politician and lawyer who has served as Maryland’s attorney general and previously as the state’s lieutenant governor and a U.S. congressman.
  • D. Jelani Kilpatrick
    Jelani Kilpatrick is known as one of the sons of former Detroit mayor Kwame Kilpatrick.
  • E. Navin R. Johnson
    Navin R. Johnson is the naive, bumbling protagonist of the 1979 comedy film "The Jerk," famously portrayed by Steve Martin.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7f9e288190af5f2b2aa6ff63b3 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.