Triple

T8119704
Position Surface form Disambiguated ID Type / Status
Subject Milestones E189574 entity
Predicate featuresMusician P20942 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: [Milestones, featuresMusician, Red Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Garland
Context triple: [Milestones, featuresMusician, 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4359f3dc8190a2330cf6efb8c084 completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc944d009c81908ceb37b6922efb59 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.