Triple

T13519720
Position Surface form Disambiguated ID Type / Status
Subject Romeo and Juliet (1968 film) E322860 entity
Predicate musicBy P1952 FINISHED
Object Nino Rota E50629 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: Nino Rota | Statement: [Romeo and Juliet (1968 film), musicBy, Nino Rota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nino Rota
Context triple: [Romeo and Juliet (1968 film), musicBy, Nino Rota]
  • A. Nino Rota chosen
    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.
  • B. Franco Silvestri
    Franco Silvestri is an individual notable enough to be recognized as a prominent bearer of the surname Silvestri.
  • C. Luis Bacalov
    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.
  • D. Ennio Morricone
    Ennio Morricone was an Italian composer and conductor renowned for his iconic film scores, particularly for Spaghetti Westerns like "The Good, the Bad and the Ugly."
  • E. Pino Donaggio
    Pino Donaggio is an Italian composer best known for his atmospheric film scores, particularly in the horror and thriller genres.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75498153c819096a28a7f0b608ff5 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.