Triple

T20140365
Position Surface form Disambiguated ID Type / Status
Subject My Little Pony: The Movie E491146 entity
Predicate coDirector P17194 FINISHED
Object Jason Hudak 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: Jason Hudak | Statement: [My Little Pony: The Movie, coDirector, Jason Hudak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Hudak
Context triple: [My Little Pony: The Movie, coDirector, Jason Hudak]
  • A. Jason Hudak chosen
    Jason Hudak is a film and video editor known for his post-production work, including collaborations with filmmaker Luca.
  • B. Michael Marczak
    Michael Marczak is a Polish filmmaker and music video director known for his visually distinctive, documentary-influenced style in both narrative and commercial projects.
  • C. David Paetkau
    David Paetkau is a Canadian actor best known for his roles in the television series "Flashpoint" and films such as "Final Destination 2."
  • D. Jason Stollsteimer
    Jason Stollsteimer is an American singer, guitarist, and songwriter best known as the frontman of the garage rock band The Von Bondies.
  • E. Jonathan Pytko
    Jonathan Pytko is a cinematographer best known for his work on the Pixar animated film "Turning Red."
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.