Triple

T10579796
Position Surface form Disambiguated ID Type / Status
Subject Ready Teddy E249705 entity
Predicate backingMusicians P63464 FINISHED
Object New Orleans session musicians 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: New Orleans session musicians | Statement: [Ready Teddy, backingMusicians, New Orleans session musicians]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: backingMusicians
Context triple: [Ready Teddy, backingMusicians, New Orleans session musicians]
  • A. hasBackingMusician chosen
    Indicates that one entity serves as a supporting or accompanying musician for another entity, typically in a performance or recording context.
  • B. backedArtist
    Indicates that one entity has provided support, endorsement, or resources to an artist entity.
  • C. hasBackingBand
    Indicates that an artist or performer is supported musically by a specific band that plays instruments or accompaniment for them.
  • D. hasBackingVocals
    Indicates that one musical performance, track, or part includes supporting vocal contributions accompanying a primary vocal line.
  • E. workedAsSessionMusicianFor
    Indicates that one entity performed as a session musician providing musical services or recordings for another entity, typically an artist, band, or production.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52759faa4819081c195488803ada9 completed April 7, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69d51907b2b881908ab9a8594688ee06 completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:38 p.m.