Triple

T5713879
Position Surface form Disambiguated ID Type / Status
Subject Reds E125975 entity
Predicate musicBy P1952 FINISHED
Object Dave Grusin E161503 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: Dave Grusin | Statement: [Reds, musicBy, Dave Grusin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Grusin
Context triple: [Reds, musicBy, Dave Grusin]
  • A. Dave Grusin chosen
    Dave Grusin is an American composer, arranger, and jazz pianist best known for his prolific film and television scores and for co-founding GRP Records.
  • B. Randy Edelman
    Randy Edelman is an American composer best known for his prolific work on film and television scores, including numerous Hollywood action and drama movies.
  • C. Lalo Schifrin
    Lalo Schifrin is an Argentine-American composer, pianist, and conductor best known for his iconic film and television scores, including the theme for "Mission: Impossible."
  • D. Albert Weinert
    Albert Weinert was a German-American sculptor and monument designer known for his public memorials in the United States.
  • E. Mitchell Froom
    Mitchell Froom is an American record producer and musician known for his innovative, atmospheric work with artists such as Crowded House, Suzanne Vega, and Los Lobos.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a74b350819099d8881ef248e1e7 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.