Triple

T13486377
Position Surface form Disambiguated ID Type / Status
Subject The Whole Nine Yards E318514 entity
Predicate screenwriter P2831 FINISHED
Object Mitchell Kapner E544129 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: Mitchell Kapner | Statement: [The Whole Nine Yards, screenwriter, Mitchell Kapner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Kapner
Context triple: [The Whole Nine Yards, screenwriter, Mitchell Kapner]
  • A. Mitchell Kapner chosen
    Mitchell Kapner is an American screenwriter best known for co-writing the fantasy film "Oz the Great and Powerful" and for his work in both film and television.
  • B. Mitchell Robertson
    Mitchell Robertson is an actor known for his role in the film "From Darkness."
  • C. Brian Capener
    Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
  • D. Mitchell Lewis
    Mitchell Lewis was an American film actor of the silent and early sound era, known for his rugged character roles in numerous dramas and adventure films.
  • E. Matt Harpring
    Matt Harpring is a former American professional basketball player and standout small forward best known for his collegiate career at Georgia Tech and his NBA tenure with teams including the Utah Jazz.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.