Triple

T18187020
Position Surface form Disambiguated ID Type / Status
Subject Clarence Ashley E435439 entity
Predicate recordLabel P1500 FINISHED
Object Okeh Records NE NERFINISHED

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: Okeh Records | Statement: [Clarence Ashley, recordLabel, Okeh Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okeh Records
Context triple: [Clarence Ashley, recordLabel, Okeh Records]
  • A. Okeh Records chosen
    Okeh Records is an American record label historically known for its influential early jazz and blues recordings, including landmark releases by Louis Armstrong.
  • B. Savoy Records
    Savoy Records is a pioneering American jazz and blues record label renowned for recording influential bebop artists such as Charlie Parker.
  • C. Scat Records
    Scat Records is an independent record label known for releasing influential lo-fi and indie rock music, including early work by bands like Guided by Voices.
  • D. Fonograf Records
    Fonograf Records is an independent record label known for releasing critically acclaimed and artistically driven music projects.
  • E. Colpix Records
    Colpix Records was an American record label of the 1960s, affiliated with Columbia Pictures, that released pop, rock, and soundtrack recordings by various film and television stars.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dfff86b8819080324aafba77acf3 completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.