Triple

T5587547
Position Surface form Disambiguated ID Type / Status
Subject Kill Bill: Volume 2 E146791 entity
Predicate hasMainCharacter P1183 FINISHED
Object Beatrix Kiddo E528806 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: Beatrix Kiddo | Statement: [Kill Bill: Volume 2, hasMainCharacter, Beatrix Kiddo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beatrix Kiddo
Context triple: [Kill Bill: Volume 2, hasMainCharacter, Beatrix Kiddo]
  • A. Beatrix Kiddo chosen
    Beatrix Kiddo is the vengeful former assassin known as "The Bride" who seeks retribution against her ex-lover and boss Bill in Quentin Tarantino’s Kill Bill films.
  • B. Montoya
    Montoya is a Spanish-origin surname commonly found in the Hispanic world and popularized in literature and film.
  • C. Yorimichi
    Yorimichi is a Japanese given name most notably borne by the powerful Heian-period court noble Fujiwara no Yorimichi.
  • D. Valentina Fox
    Valentina Fox is the daughter of American actress Taryn Power and a member of the extended Power acting family.
  • E. Karla
    Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209d713081908b39ee8befb2faf7 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d2f8710819094f5d052b767b9a6 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:38 p.m.