Triple

T18324112
Position Surface form Disambiguated ID Type / Status
Subject Daken E438958 entity
Predicate alias P39 FINISHED
Object Daken Akihiro 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: Daken Akihiro | Statement: [Daken, alias, Daken Akihiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daken Akihiro
Context triple: [Daken, alias, Daken Akihiro]
  • A. Akihiro chosen
    Akihiro is a Marvel Comics character, better known as Daken, the mutant son of Wolverine with similar claws and healing abilities.
  • B. Kenta Nagata
    Kenta Nagata is a Japanese video game composer best known for his work on Nintendo titles, particularly in the Mario Kart and The Legend of Zelda series.
  • C. Kazushi Sakuraba
    Kazushi Sakuraba is a legendary Japanese mixed martial artist and professional wrestler, famed for his technical grappling and for defeating multiple members of the Gracie family, earning him the nickname "The Gracie Hunter."
  • D. Kazushi Ono
    Kazushi Ono is a renowned Japanese conductor known for his leadership of major European opera houses and orchestras and his wide-ranging operatic and symphonic repertoire.
  • E. Mako Kamitsuna
    Mako Kamitsuna is a Japanese-born film editor and filmmaker known for her work on critically acclaimed independent films, including the period drama "Mudbound."
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa93fb0819083293b80e8400c4e completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.