Triple

T7322103
Position Surface form Disambiguated ID Type / Status
Subject Don Gibson E168775 entity
Predicate name P16 FINISHED
Object Don Gibson E168775 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: Don Gibson | Statement: [Don Gibson, name, Don Gibson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Gibson
Context triple: [Don Gibson, name, Don Gibson]
  • A. Don Gibson chosen
    Don Gibson was an influential American country music singer-songwriter known for classics like "Oh Lonesome Me" and "I Can't Stop Loving You."
  • B. Don Gibbs
    Don Gibbs is an architect known for designing the Walter Pyramid, a prominent multi-purpose arena at California State University, Long Beach.
  • C. Coy Gibbs
    Coy Gibbs was an American NASCAR executive, former driver, and the son of Hall of Fame coach and team owner Joe Gibbs, known for his leadership role at Joe Gibbs Racing.
  • D. George Jones
    George Jones was a 19th-century American journalist and publisher best known as a co-founder of The New York Times.
  • E. George Jones
    George Jones was an American country music singer renowned for his emotive voice and classic hits like "He Stopped Loving Her Today."
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f041f4a88190b85cff1ee5f9a6d0 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827651b7c81908f5dca5903183b7b completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:03 p.m.