Triple

T28145263
Position Surface form Disambiguated ID Type / Status
Subject Miles Davis All Stars, Volume 1 E714459 entity
Predicate contributorRole_Sonny Rollins P103938 FINISHED
Object tenor saxophone LITERAL 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: tenor saxophone | Statement: [Miles Davis All Stars, Volume 1, contributorRole_Sonny Rollins, tenor saxophone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contributorRole_Sonny Rollins
Context triple: [Miles Davis All Stars, Volume 1, contributorRole_Sonny Rollins, tenor saxophone]
  • A. contributorRole_Thelonious Monk
    Indicates the specific role or capacity in which Thelonious Monk contributed to a work, project, or production.
  • B. vibraphonist
    Indicates that one entity performs the role or action of playing the vibraphone in relation to another entity or context.
  • C. featuresSaxophonist
    Indicates that a musical work, performance, or recording prominently includes a saxophonist as part of its featured personnel.
  • D. associatedInstrumentalist
    Indicates that an instrumentalist is connected to or involved with another entity, such as a work, performance, or recording, in a relevant musical role.
  • E. tenorSaxophonistOnRecording chosen
    Indicates that the subject is the tenor saxophonist performing on the specified recording.
  • F. None of above.

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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f7675b12848190a3569cfda29c5b0e completed May 3, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f762f4b59481909f70074f11825bfb completed May 3, 2026, 3 p.m.
Created at: April 27, 2026, 9:56 p.m.