Triple

T33814861
Position Surface form Disambiguated ID Type / Status
Subject Jazzland Records E866643 entity
Predicate associatedMusicianRole P140234 FINISHED
Object tenor saxophonist 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 saxophonist | Statement: [Jazzland Records, associatedMusicianRole, tenor saxophonist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedMusicianRole
Context triple: [Jazzland Records, associatedMusicianRole, tenor saxophonist]
  • A. hasArtistRole
    Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
  • B. associatedInstrumentalist chosen
    Indicates that an instrumentalist is connected to or involved with another entity, such as a work, performance, or recording, in a relevant musical role.
  • C. musicSceneRole
    Indicates the specific function or position an entity holds within a particular music scene or musical community.
  • D. hasMusicalRoleOfCreator
    Indicates that an entity serves as the originating creator (e.g., composer, songwriter) responsible for bringing a musical work into existence.
  • E. hasMusicalArtistRoleOfCreator
    Indicates that the specified musical artist serves as the creator (e.g., composer, originator) of the referenced musical work or content.
  • 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_69f349911a8c81908478662194b23d8c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037e0953908190b2930b3c06a40129 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a0379f6c3308190b954f7810214ceed completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:46 a.m.