Triple

T12869809
Position Surface form Disambiguated ID Type / Status
Subject Walk the Line E307818 entity
Predicate screenwriter P2831 FINISHED
Object Gill Dennis E868144 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: Gill Dennis | Statement: [Walk the Line, screenwriter, Gill Dennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gill Dennis
Context triple: [Walk the Line, screenwriter, Gill Dennis]
  • A. Gill Dennis chosen
    Gill Dennis was an American screenwriter and director known for his work on films such as "Return to Oz" and the Johnny Cash biopic "Walk the Line."
  • B. Gill Bennett
    Gill Bennett is best known as the former wife of English professional golfer Nick Faldo.
  • C. Dana Ballard
    Dana Ballard is an American computer scientist and cognitive scientist known for his pioneering work in computational vision and models of human perception and cognition.
  • D. Ann Gillis
    Ann Gillis was an American child actress of the 1930s and 1940s, best known for her roles in classic Hollywood films and for voicing the adult Faline in Disney's "Bambi."
  • E. Tim Gibbons
    Tim Gibbons is a television producer and showrunner best known for co-creating and producing reality and comedy series, including the long-running TLC show "Sister Wives."
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.