Triple

T19312466
Position Surface form Disambiguated ID Type / Status
Subject Stefania LaVie Owen E483004 entity
Predicate hasWorkedWith P9615 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: [Stefania LaVie Owen, hasWorkedWith, Taika Waititi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taika Waititi
Context triple: [Stefania LaVie Owen, hasWorkedWith, 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604ce5de081909811c49f56ba94bb completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.