Triple

T10201510
Position Surface form Disambiguated ID Type / Status
Subject Billy Butcher E238892 entity
Predicate closeAssociate P2830 FINISHED
Object Kimiko Miyashiro E880584 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: Kimiko Miyashiro | Statement: [Billy Butcher, closeAssociate, Kimiko Miyashiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimiko Miyashiro
Context triple: [Billy Butcher, closeAssociate, Kimiko Miyashiro]
  • A. Kimiko Miyashiro chosen
    Kimiko Miyashiro is a mute, superhumanly strong and resilient assassin who is a key member of the vigilante group in the television series "The Boys."
  • B. Rieko Kodama
    Rieko Kodama was a pioneering Japanese video game designer and producer at Sega, best known for her influential work on classic role-playing games and for being one of the first prominent women in the game industry.
  • C. Reika Kirishima
    Reika Kirishima is a Japanese actress known for her role in the film adaptation of Haruki Murakami’s novel "Norwegian Wood" (2010).
  • D. Yukari Tamura
    Yukari Tamura is a popular Japanese voice actress and singer known for her work in anime and J-pop, often performing theme songs for various series.
  • E. Maki Horikita
    Maki Horikita is a Japanese actress known for her leading roles in popular television dramas and films during the 2000s and early 2010s.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbac97ce2481908ea11d6290a9bf2f completed April 12, 2026, 2:30 p.m.
Created at: March 30, 2026, 9:14 p.m.