Triple

T22840034
Position Surface form Disambiguated ID Type / Status
Subject Jurassic World (film score) E566054 entity
Predicate homageTo P8708 FINISHED
Object John Williams — NE NERFINISHED

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: John Williams | Statement: [Jurassic World (film score), homageTo, John Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Williams
Context triple: [Jurassic World (film score), homageTo, John Williams]
  • A. John Williams
    John Williams is an acclaimed Australian classical guitarist renowned for his virtuosity, broad repertoire, and influential recordings.
  • B. John Williams chosen
    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.
  • C. 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.
  • D. John Williams
    John Williams was a colonial New England Puritan minister best known for his captivity narrative recounting his abduction during the 1704 Deerfield raid.
  • E. John Williams
    John Williams was a 19th-century British missionary renowned for his extensive evangelizing and church-building work in the South Pacific, particularly in Polynesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8325948190a3b63f2cd0371373 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.