Triple

T9767283
Position Surface form Disambiguated ID Type / Status
Subject Paul Cantelon E237027 entity
Predicate notableWork P4 FINISHED
Object W. (film score) E349310 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: W. (film score) | Statement: [Paul Cantelon, notableWork, W. (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W. (film score)
Context triple: [Paul Cantelon, notableWork, W. (film score)]
  • A. The W
    The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
  • B. W. chosen
    W. is a 2008 biographical drama film directed by Oliver Stone that portrays the life and presidency of George W. Bush.
  • C. WAGN
    WAGN (West Anglia Great Northern) was a former British train operating company that ran commuter and regional passenger rail services from London to destinations in East Anglia and the north of London before the franchise was restructured.
  • D. W4
    W4 is a prominent star-forming region in the Milky Way, notable for its large ionized gas bubble and active formation of massive young stars.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcfffa6081909f61c66357765d8d completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:25 p.m.