Triple

T6966609
Position Surface form Disambiguated ID Type / Status
Subject Dave Grusin E161503 entity
Predicate sibling P363 FINISHED
Object Don Grusin E634214 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: Don Grusin | Statement: [Dave Grusin, sibling, Don Grusin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Grusin
Context triple: [Dave Grusin, sibling, Don Grusin]
  • A. Don Grusin chosen
    Don Grusin is an American jazz and fusion keyboardist, composer, and producer known for his solo work and collaborations within contemporary jazz, including projects with his brother Dave Grusin.
  • B. Dave Grusin
    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.
  • C. 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.
  • D. Marvin Hamlisch
    Marvin Hamlisch was an American composer and conductor renowned for his award-winning work in film, theater, and popular music, including multiple Oscars, Grammys, and a Pulitzer Prize.
  • E. Henry Mancini
    Henry Mancini was an American composer, conductor, and arranger best known for his memorable film and television scores, including iconic themes such as "Moon River" and "The Pink Panther."
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775433cd48190a4b5093fc9c5476d completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:30 p.m.