Triple

T2172895
Position Surface form Disambiguated ID Type / Status
Subject The Graduate E48463 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: [The Graduate, musicBy, Dave Grusin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Grusin
Context triple: [The Graduate, 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. 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."
  • C. Albert Weinert
    Albert Weinert was a German-American sculptor and monument designer known for his public memorials in the United States.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbecb97a48190834e3e536184bbd1 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653b6ae48190ab5c7e6bf2dcfa6f completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.