Triple

T11049691
Position Surface form Disambiguated ID Type / Status
Subject Flipper (1996 film) E261212 entity
Predicate musicBy 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: [Flipper (1996 film), musicBy, Joel McNeely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel McNeely
Context triple: [Flipper (1996 film), musicBy, 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. Keith Crouch
    Keith Crouch is an American R&B songwriter and record producer best known for his work on Brandy’s early hits and other 1990s soul and gospel projects.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c851d5408190b12250a2a1322874 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.