Triple
T10470534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Another Day |
E246910
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Miranda Frost |
E418764
|
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: Miranda Frost | Statement: [Die Another Day, character, Miranda Frost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miranda Frost Context triple: [Die Another Day, character, Miranda Frost]
-
A.
Miranda Frost
chosen
Miranda Frost is a duplicitous MI6 agent and Olympic fencer who serves as a key antagonist to James Bond in the film "Die Another Day."
-
B.
Alyla Browne
Alyla Browne is an Australian actress best known for her role in the action film "Furiosa: A Mad Max Saga."
-
C.
Rachel Treweek
Rachel Treweek is a British Anglican bishop notable for being the first woman to serve as a diocesan bishop in the Church of England and the first female bishop to sit in the House of Lords.
-
D.
Caroline Waterlow
Caroline Waterlow is an American film and television producer best known for her work on acclaimed documentaries, including the Oscar-winning series "O.J.: Made in America."
-
E.
Jemima Goldsmith
Jemima Goldsmith is a British screenwriter, film and television producer, and heiress known for her work in journalism and documentary production as well as her prominent role in public life.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0094910819094d492c87b31898e |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.