Triple

T6393937
Position Surface form Disambiguated ID Type / Status
Subject That's All Right E143894 entity
Predicate bassist P15279 FINISHED
Object Bill Black E579434 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: Bill Black | Statement: [That's All Right, bassist, Bill Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Black
Context triple: [That's All Right, bassist, Bill Black]
  • A. Bill Black chosen
    Bill Black was an American bassist best known for playing with Elvis Presley in the 1950s and helping shape the sound of early rock and roll.
  • B. Bill Blackburn
    Bill Blackburn was an American actor and stand-in best known for his recurring background roles and work as a stand-in on the original Star Trek television series.
  • C. Alan Black
    Alan Black is a Northern Irish man known for being the sole survivor of the 1976 Kingsmill massacre during the Troubles.
  • D. Neil Black
    Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
  • E. Paul Blackburn
    Paul Blackburn was an American poet and translator associated with mid-20th-century avant-garde movements, noted for his innovative verse and support of contemporary poetry through readings and recordings.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06881313481908e9082ffe57f29b6 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638935934819096a34da6f1b5110b completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.