Triple

T17120620
Position Surface form Disambiguated ID Type / Status
Subject Scanners E415454 entity
Predicate composer P1361 FINISHED
Object Howard Shore E39854 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: Howard Shore | Statement: [Scanners, composer, Howard Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Shore
Context triple: [Scanners, composer, 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 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 (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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8092b548190b45c1695be47edc2 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a1062fc8190b1c4e97f42cf3faa completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.