Triple

T7549396
Position Surface form Disambiguated ID Type / Status
Subject Lover Man E178490 entity
Predicate hasNotableInterpretationBy P22732 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: [Lover Man, hasNotableInterpretationBy, Red Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Garland
Context triple: [Lover Man, hasNotableInterpretationBy, 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c7017134608190bd51fb2d0ab1ff34 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870741e2481909020633203003a68 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:49 p.m.