Triple

T21834508
Position Surface form Disambiguated ID Type / Status
Subject James Graham Fair E539083 entity
Predicate familyName P18 FINISHED
Object Fair NE NERFINISHED

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: Fair | Statement: [James Graham Fair, familyName, Fair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fair
Context triple: [James Graham Fair, familyName, Fair]
  • A. Fair
    "Fair" is a song by the American alternative rock band Remy Zero, best known for its inclusion on the soundtrack of the film "Garden State."
  • B. Fair chosen
    Fair is a surname most notably associated with James Graham Fair, a 19th-century Irish-American mining magnate and U.S. Senator from Nevada.
  • C. Fair & Balanced
    Fair & Balanced was the long-time marketing slogan used by Fox News Channel to promote its image as an impartial and objective news source.
  • D. Fairplay
    Fairplay is a small historic mountain town in central Colorado that serves as a gateway to outdoor recreation in the surrounding Rockies.
  • E. Fair Extension
    Fair Extension is a dark fantasy novella by Stephen King that follows a dying man who makes a sinister bargain with a mysterious vendor to extend his life at a terrible moral cost.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a6c9688190aa357377b4697a47 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.