Triple

T17512683
Position Surface form Disambiguated ID Type / Status
Subject Aníron E426487 entity
Predicate associatedComposer P2830 FINISHED
Object Howard Shore 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: Howard Shore | Statement: [Aníron, associatedComposer, Howard Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Shore
Context triple: [Aníron, associatedComposer, Howard Shore]
  • A. Howard Shore chosen
    Howard Shore is a Canadian composer and conductor best known for his acclaimed film scores, including the music for The Lord of the Rings trilogy.
  • B. 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.
  • C. Harry Gregson-Williams
    Harry Gregson-Williams is a British composer best known for his film and video game scores, including work on the "Shrek" series, "The Chronicles of Narnia," and the "Metal Gear Solid" franchise.
  • D. 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.
  • E. 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.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525d29fc819080851bf744bc78ed completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.