Triple

T16850270
Position Surface form Disambiguated ID Type / Status
Subject Death Note (2017 film) E409655 entity
Predicate castMember P1668 FINISHED
Object Nat Wolff E269519 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: Nat Wolff | Statement: [Death Note (2017 film), castMember, Nat Wolff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nat Wolff
Context triple: [Death Note (2017 film), castMember, Nat Wolff]
  • A. Nat Wolff chosen
    Nat Wolff is an American actor and musician best known for his roles in young adult film adaptations and his early work on the Nickelodeon series "The Naked Brothers Band."
  • B. Jonah Platt
    Jonah Platt is an American actor and singer known for his work in musical theatre, television, and as part of the entertainment-industry Platt family.
  • C. Joshua Braff
    Joshua Braff is an American novelist known for works such as "The Unthinkable Thoughts of Jacob Green" and "Peep Show," and is the brother of actor and filmmaker Zach Braff.
  • D. Kellan Lutz
    Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
  • E. Nathan Walker
    Nathan Walker is an Australian professional ice hockey forward known for being the first Australian to play in the NHL.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b378dda48190ab81d75f2cfe3ab3 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc531c881908a33de8b491842ca completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:24 a.m.