Triple

T22100492
Position Surface form Disambiguated ID Type / Status
Subject Entre Nous E546156 entity
Predicate musicBy P1952 FINISHED
Object Luis Bacalov NE NERFINISHED

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: Luis Bacalov | Statement: [Entre Nous, musicBy, Luis Bacalov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Bacalov
Context triple: [Entre Nous, musicBy, Luis Bacalov]
  • A. Luis Bacalov chosen
    Luis Bacalov was an Argentine-Italian composer and pianist renowned for his film scores, particularly in Italian cinema and Spaghetti Westerns, and for winning an Academy Award for Best Original Dramatic Score.
  • B. Nino Rota
    Nino Rota was an Italian composer best known for his iconic film scores, including his collaborations with Federico Fellini and his music for The Godfather.
  • C. Franco Silvestri
    Franco Silvestri is an individual notable enough to be recognized as a prominent bearer of the surname Silvestri.
  • D. Anton Karas
    Anton Karas was an Austrian zither player and composer best known for his iconic zither score for the film "The Third Man."
  • E. 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."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.