Triple

T21435879
Position Surface form Disambiguated ID Type / Status
Subject Beatrix Kiddo E528806 entity
Predicate enemy P4567 FINISHED
Object O-Ren Ishii 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: O-Ren Ishii | Statement: [Beatrix Kiddo, enemy, O-Ren Ishii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O-Ren Ishii
Context triple: [Beatrix Kiddo, enemy, O-Ren Ishii]
  • A. O-Ren Ishii chosen
    O-Ren Ishii is a deadly assassin and yakuza boss from Quentin Tarantino's film "Kill Bill," known for her mixed Japanese-Chinese-American heritage and iconic katana-wielding combat.
  • B. Mako Iwamatsu
    Mako Iwamatsu was a Japanese-American actor and voice actor known for his distinctive gravelly voice and roles in films like "The Sand Pebbles" and "Conan the Barbarian," as well as for voicing Iroh in "Avatar: The Last Airbender."
  • C. Shu Matsui
    Shu Matsui is a Japanese playwright, director, and actor known for his work in contemporary theater.
  • D. Mari Hanafusa
    Mari Hanafusa is a Japanese musical theatre actress and singer best known for her leading roles with the Takarazuka Revue and in major stage productions.
  • E. Maki Goto
    Maki Goto is a Japanese pop singer, actress, and former member of the idol group Morning Musume who gained prominence in the early 2000s.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b5373994819088fbd82f31c3b0c8 completed April 22, 2026, 11:47 a.m.
Created at: April 16, 2026, 6:02 p.m.