Triple

T1475244
Position Surface form Disambiguated ID Type / Status
Subject Lucille E30825 entity
Predicate writer P1360 FINISHED
Object Hal Bynum E98902 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: Hal Bynum | Statement: [Lucille, writer, Hal Bynum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hal Bynum
Context triple: [Lucille, writer, Hal Bynum]
  • A. Hal Bynum chosen
    Hal Bynum was an American country music songwriter best known for penning narrative-driven hits for artists like Kenny Rogers and Johnny Cash.
  • B. Larry Nance
    Larry Nance is a former NBA power forward best known for his elite shot-blocking, athletic dunks, and All-Star tenure with the Cleveland Cavaliers in the 1980s and early 1990s.
  • C. Chris Tierney
    Chris Tierney is an American former professional soccer player best known as a long-serving left back and set-piece specialist for the New England Revolution in Major League Soccer.
  • D. Cullen Bohannon
    Cullen Bohannon is a former Confederate soldier turned railroad foreman and antihero protagonist of the Western television series "Hell on Wheels."
  • E. Matthew Richardson
    Matthew Richardson is a former Australian rules footballer widely regarded as one of Richmond Football Club’s greatest forwards and a fan favourite in the AFL.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232ab26c8190aa9fc95ff2fcf0eb completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8:11 p.m.