Triple

T5311560
Position Surface form Disambiguated ID Type / Status
Subject April in Paris E119041 entity
Predicate includesCompositionBy P56991 FINISHED
Object Thad Jones E506915 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: Thad Jones | Statement: [April in Paris, includesCompositionBy, Thad Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thad Jones
Context triple: [April in Paris, includesCompositionBy, Thad Jones]
  • A. Thad Jones chosen
    Thad Jones was an influential American jazz trumpeter, composer, and bandleader known for his sophisticated arrangements and co-leading the Thad Jones/Mel Lewis Orchestra.
  • B. Ray Brown
    Ray Brown was an acclaimed American jazz double bassist known for his work with the Oscar Peterson Trio and collaborations with many leading jazz artists.
  • C. Donald Byrd
    Donald Byrd was an influential American jazz trumpeter and bandleader known for his work in hard bop and later pioneering jazz-funk and fusion styles.
  • D. Teddy Dunn
    Teddy Dunn is an American actor best known for playing Duncan Kane on the television series "Veronica Mars."
  • E. Charles Lloyd
    Charles Lloyd is an influential American jazz saxophonist, flutist, and composer known for his genre-blending style and acclaimed work since the 1960s.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd91aab9348190a373b30bb305f933 completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188988688190b4b08b5e0cda8cf5 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:53 p.m.