Triple

T21005917
Position Surface form Disambiguated ID Type / Status
Subject Thor franchise E517412 entity
Predicate notableDirector P4744 FINISHED
Object Taika Waititi 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: Taika Waititi | Statement: [Thor franchise, notableDirector, Taika Waititi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taika Waititi
Context triple: [Thor franchise, notableDirector, Taika Waititi]
  • A. Taika Waititi chosen
    Taika Waititi is a New Zealand filmmaker, actor, and comedian known for directing and starring in offbeat, critically acclaimed films such as "Jojo Rabbit," "Thor: Ragnarok," and "Hunt for the Wilderpeople."
  • B. Michael Arndt
    Michael Arndt is an Academy Award–winning American screenwriter known for acclaimed films such as Little Miss Sunshine and Toy Story 3.
  • C. Gareth Edwards
    Gareth Edwards is a Welsh former rugby union scrum-half widely regarded as one of the greatest rugby players of all time.
  • D. Gareth Edwards
    Gareth Edwards is a British filmmaker known for directing large-scale science fiction and monster films such as "Monsters," "Godzilla" (2014), and "Rogue One: A Star Wars Story."
  • E. Paul King
    Paul King is a British filmmaker and screenwriter best known for directing the critically acclaimed Paddington films.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3c05a481908d25de2a63a4cdbe completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.