Triple

T15691975
Position Surface form Disambiguated ID Type / Status
Subject Elle Driver E380352 entity
Predicate enemyOf P437 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: [Elle Driver, enemyOf, Beatrix Kiddo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beatrix Kiddo
Context triple: [Elle Driver, enemyOf, 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. Serena Blandish
    Serena Blandish is a novel by British author Enid Bagnold, best known for its exploration of a young woman's emotional and social awakening in early 20th-century society.
  • D. Sonya Blade
    Sonya Blade is a key protagonist in the Mortal Kombat fighting game series, portrayed as a skilled Special Forces officer dedicated to combating supernatural threats and criminal organizations.
  • E. Yorimichi
    Yorimichi is a Japanese given name most notably borne by the powerful Heian-period court noble Fujiwara no Yorimichi.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.