Triple

T22576237
Position Surface form Disambiguated ID Type / Status
Subject In The Mood E544403 entity
Predicate composer P1361 FINISHED
Object Joe Garland NE NERFINISHED

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: Joe Garland | Statement: [In The Mood, composer, Joe Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Garland
Context triple: [In The Mood, composer, Joe Garland]
  • A. Joe Garland chosen
    Joe Garland was an American jazz saxophonist, arranger, and composer best known for creating the big band standard "In the Mood."
  • B. Zoot Sims
    Zoot Sims was an American jazz saxophonist known for his smooth, swinging style and prominent role in the cool jazz and West Coast jazz movements.
  • C. Charlie Teagarden
    Charlie Teagarden was an American jazz trumpeter known for his work in big bands and small ensembles during the swing era.
  • D. Jack Teagarden
    Jack Teagarden was an influential American jazz trombonist and singer renowned for his smooth tone, innovative technique, and collaborations with major jazz bandleaders of the swing era.
  • E. Red Garland
    Red Garland was an influential American jazz pianist best known for his work with the Miles Davis Quintet and his distinctive block-chord style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fecf1c8819091a05f2a1b93ca8a completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.