Triple

T22033011
Position Surface form Disambiguated ID Type / Status
Subject Oz the Great and Powerful E544129 entity
Predicate screenwriter P2831 FINISHED
Object Mitchell Kapner NE NERFINISHED

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: [Oz the Great and Powerful, screenwriter, Mitchell Kapner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Kapner
Context triple: [Oz the Great and Powerful, 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. Mark Kapner
    Mark Kapner is a musician best known as a member of the 1960s American psychedelic rock band Country Joe and the Fish.
  • C. Mitchell Robertson
    Mitchell Robertson is an actor known for his role in the film "From Darkness."
  • D. Mitchell Siporin
    Mitchell Siporin was an American social realist painter and muralist known for his depictions of working-class life and contributions to New Deal art projects.
  • E. Brian Capener
    Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ee84848190a22c24bf14498520 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.