Triple
T21435930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elle Driver |
E528807
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Beatrix Kiddo |
—
|
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: Beatrix Kiddo | Statement: [Elle Driver, enemy, Beatrix Kiddo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatrix Kiddo Context triple: [Elle Driver, enemy, 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.
Rachel Juarez
Rachel Juarez is a television court show judge best known for serving on the panel of the syndicated legal series "Hot Bench."
-
D.
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.
-
E.
Dian Belmont
Dian Belmont is a Golden Age DC Comics character best known as the adventurous socialite and confidante who aids the Sandman, Wesley Dodds, in his crime-fighting activities.
- 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.