Triple

T2426840
Position Surface form Disambiguated ID Type / Status
Subject Jonathan King E53547 entity
Predicate employer P7 FINISHED
Object Decca Records E24680 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: Decca Records | Statement: [Jonathan King, employer, Decca Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Decca Records
Context triple: [Jonathan King, employer, Decca Records]
  • A. Decca Records chosen
    Decca Records is a historic British record label renowned for its influential catalog across jazz, classical, and popular music, having recorded major artists such as Louis Armstrong.
  • B. EMI Records
    EMI Records was a major British record label and music company known for its influential roster of artists and significant impact on the global recording industry.
  • C. Savoy Records
    Savoy Records is a pioneering American jazz and blues record label renowned for recording influential bebop artists such as Charlie Parker.
  • D. RCA Victor
    RCA Victor was a major American record label and phonograph company, historically significant for its role in the development and popularization of recorded music and audio technology.
  • E. Crown Records
    Crown Records was a budget record label known for issuing low-cost LPs, often featuring reissued or repackaged material across various popular music genres.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.