Triple

T878145
Position Surface form Disambiguated ID Type / Status
Subject Alan Silvestri E18968 entity
Predicate name P16 FINISHED
Object Alan Silvestri E18968 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: Alan Silvestri | Statement: [Alan Silvestri, name, Alan Silvestri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Silvestri
Context triple: [Alan Silvestri, name, Alan Silvestri]
  • A. Alan Silvestri chosen
    Alan Silvestri is an American composer best known for his prolific film scores, including iconic work on movies such as the Back to the Future trilogy and numerous Marvel Cinematic Universe films.
  • B. John Debney
    John Debney is an American film composer known for scoring a wide range of movies and television shows, including major studio productions and acclaimed dramas.
  • C. John Williams
    John Williams is an acclaimed American composer and conductor best known for his iconic film scores for franchises such as Star Wars, Indiana Jones, Harry Potter, and many others.
  • D. James Horner
    James Horner was an Academy Award–winning American film composer renowned for his emotionally powerful scores for movies such as Titanic, Braveheart, and A Beautiful Mind.
  • E. John Powell
    John Powell is a British-born, Academy Award–nominated film composer renowned for his dynamic scores for animated and action films such as the "How to Train Your Dragon" series and the "Bourne" franchise.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb1dc20819095b9bb093158b60d completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f749dc819097231c0becb4150b completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:39 p.m.