Triple

T9390220
Position Surface form Disambiguated ID Type / Status
Subject Luis Bacalov E226009 entity
Predicate name P16 FINISHED
Object Luis Bacalov E226009 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: Luis Bacalov | Statement: [Luis Bacalov, name, Luis Bacalov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Bacalov
Context triple: [Luis Bacalov, name, 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 (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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510d7a9c8190a74ccdb5478dedc9 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100f86bac8190a26ab156f24455bb completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:45 p.m.