Triple

T10906707
Position Surface form Disambiguated ID Type / Status
Subject Conrad Pope E257589 entity
Predicate hasCollaboratedWith P8554 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: [Conrad Pope, hasCollaboratedWith, Alan Silvestri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Silvestri
Context triple: [Conrad Pope, hasCollaboratedWith, 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. Dave Silvestri
    Dave Silvestri is a former professional baseball infielder who played in Major League Baseball during the 1990s.
  • C. 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.
  • D. John Williams
    John Williams was a British actor known for his character roles in mid-20th-century films and television, including classic courtroom dramas and comedies.
  • E. 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.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706679b48190a1f29fc64fe8a334 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155454890819087028a72ac2be8de completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.