Triple

T15676538
Position Surface form Disambiguated ID Type / Status
Subject Lara Fabian E377456 entity
Predicate hasMusicalInfluence P1994 FINISHED
Object Ennio Morricone E32312 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: Ennio Morricone | Statement: [Lara Fabian, hasMusicalInfluence, Ennio Morricone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ennio Morricone
Context triple: [Lara Fabian, hasMusicalInfluence, Ennio Morricone]
  • A. Ennio Morricone chosen
    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."
  • 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. Sergio Silvestri
    Sergio Silvestri is an individual notable enough to be recognized as a prominent bearer of the surname Silvestri.
  • D. Pino Donaggio
    Pino Donaggio is an Italian composer best known for his atmospheric film scores, particularly in the horror and thriller genres.
  • E. Franco Silvestri
    Franco Silvestri is an individual notable enough to be recognized as a prominent bearer of the surname Silvestri.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2e10a4819097eba1ea31e36ac2 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756da91c81908d73a081f51edebd completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:16 a.m.