Triple

T13622250
Position Surface form Disambiguated ID Type / Status
Subject Kiko Mizuhara E325485 entity
Predicate name P16 FINISHED
Object Kiko Mizuhara E325485 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: Kiko Mizuhara | Statement: [Kiko Mizuhara, name, Kiko Mizuhara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiko Mizuhara
Context triple: [Kiko Mizuhara, name, Kiko Mizuhara]
  • A. Kiko Mizuhara chosen
    Kiko Mizuhara is a Japanese-American model, actress, and designer known for her prominent work in fashion and film, as well as her influence in contemporary Japanese pop culture.
  • B. Eri Kasamoto
    Eri Kasamoto is a key playable character and demolitions expert in SNK's run-and-gun video game series Metal Slug.
  • C. Akinobu Mayumi
    Akinobu Mayumi is a Japanese former professional baseball player and manager known for his career in Nippon Professional Baseball.
  • D. Shinobu Tanaka
    Shinobu Tanaka is a Japanese video game composer best known for her work on Nintendo titles, including contributing to the music of Luigi’s Mansion.
  • E. Yosaki Takahashi
    Yosaki Takahashi is a Japanese politician who serves as the mayor of Kawagoe in Saitama Prefecture.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b4ae588190b293c71312ee4037 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:50 p.m.