Triple

T2929252
Position Surface form Disambiguated ID Type / Status
Subject Kumiko, the Treasure Hunter E78919 entity
Predicate producer P490 FINISHED
Object Nathan Zellner E312341 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: Nathan Zellner | Statement: [Kumiko, the Treasure Hunter, producer, Nathan Zellner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Zellner
Context triple: [Kumiko, the Treasure Hunter, producer, Nathan Zellner]
  • A. David Zellner chosen
    David Zellner is an American independent filmmaker and actor known for his offbeat, character-driven films such as "Kumiko, the Treasure Hunter" and "Damsel."
  • B. Justin O. Zimmer
    Justin O. Zimmer was an American orthopedic industry pioneer and entrepreneur who founded the medical device company that became Zimmer Biomet.
  • C. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • D. Nathan Grossman
    Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
  • E. Matt Weitzman
    Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98002da4819098d6448eebcafad4 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e181898819087ed4acfd24c00a1 completed March 11, 2026, 8:55 a.m.
Created at: March 8, 2026, 2:55 p.m.