Triple

T12005035
Position Surface form Disambiguated ID Type / Status
Subject Let It Bleed E285759 entity
Predicate label P38 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: [Let It Bleed, label, Decca Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Decca Records
Context triple: [Let It Bleed, label, 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. Phonogram Records
    Phonogram Records was a major international record label active in the 1970s and 1980s, known for releasing rock and pop music by prominent artists in Europe and beyond.
  • D. Savoy Records
    Savoy Records is a pioneering American jazz and blues record label renowned for recording influential bebop artists such as Charlie Parker.
  • E. 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.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c481a48190b311d6809808ef1b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48af245148190bed9d50dfd49193f completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.