Triple

T15920903
Position Surface form Disambiguated ID Type / Status
Subject Day Breaks E386088 entity
Predicate featuresMusician P20942 FINISHED
Object Brian Blade E670824 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: Brian Blade | Statement: [Day Breaks, featuresMusician, Brian Blade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Blade
Context triple: [Day Breaks, featuresMusician, Brian Blade]
  • A. Brian Blade chosen
    Brian Blade is an acclaimed American jazz drummer and composer known for his dynamic, sensitive playing and work with leading contemporary jazz artists.
  • B. John Etheridge
    John Etheridge is an English jazz and fusion guitarist known for his virtuosic playing and collaborations with prominent artists and bands.
  • C. Tony Scherr
    Tony Scherr is an American jazz and rock guitarist, bassist, singer, and songwriter known for his work as a versatile session musician and collaborator in New York’s music scene.
  • D. Patrick Bailey
    Patrick Bailey is an American professional baseball catcher who starred at NC State before being drafted in the first round by the San Francisco Giants.
  • E. Mark Aronoff
    Mark Aronoff is an American linguist renowned for his influential work in morphology and for his long-standing role as a professor at Stony Brook University.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156818cbc819086c956475ad23825 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3bd67f48190aee4f892206d9326 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:52 a.m.