Triple

T13774273
Position Surface form Disambiguated ID Type / Status
Subject Holmes & Watson (score contributor) E330958 entity
Predicate hasMusicBy P1952 FINISHED
Object Joel McNeely E65898 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: Joel McNeely | Statement: [Holmes & Watson (score contributor), hasMusicBy, Joel McNeely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel McNeely
Context triple: [Holmes & Watson (score contributor), hasMusicBy, Joel McNeely]
  • A. Joel McNeely chosen
    Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
  • B. James Kottak
    James Kottak is an American rock drummer best known for his long tenure as the drummer for the German hard rock band Scorpions.
  • C. Mike Joyce
    Mike Joyce is an English drummer best known for his work with the influential alternative rock band The Smiths in the 1980s.
  • D. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • E. Michael Chinn
    Michael Chinn is a member of the Chinn family, related to the British film producer Simon Chinn.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08a3a1481908400e3e55bf38aac completed May 7, 2026, 5:48 p.m.
Created at: April 9, 2026, 10:10 p.m.