Triple

T5746752
Position Surface form Disambiguated ID Type / Status
Subject Satin Doll E126751 entity
Predicate hasNotableRecording P1152 FINISHED
Object Red Garland E334779 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: Red Garland | Statement: [Satin Doll, hasNotableRecording, Red Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Garland
Context triple: [Satin Doll, hasNotableRecording, Red Garland]
  • A. Red Garland chosen
    Red Garland was an influential American jazz pianist best known for his work with the Miles Davis Quintet and his distinctive block-chord style.
  • B. Teddy Wilson
    Teddy Wilson was an influential American jazz pianist renowned for his elegant, swing-era style and his work with Benny Goodman and Billie Holiday.
  • C. Otis Spann
    Otis Spann was a highly influential American blues pianist, best known for his work in the Chicago blues scene and as a key member of Muddy Waters’ band.
  • D. Artie Shaw
    Artie Shaw was an American jazz clarinetist and big band leader renowned for his virtuosity, innovative arrangements, and influential recordings during the swing era.
  • E. Benny Carter
    Benny Carter was an influential American jazz alto saxophonist, composer, arranger, and bandleader whose career spanned over six decades.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025896378819085f0bd43bf34f497 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62cddd8188190928e01ba450637c2 completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 3:48 p.m.