Triple
T954427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. No |
E20594
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Miss Moneypenny |
E109338
|
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: Miss Moneypenny | Statement: [Dr. No, featuresCharacter, Miss Moneypenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Moneypenny Context triple: [Dr. No, featuresCharacter, Miss Moneypenny]
-
A.
Miss Moneypenny
chosen
Miss Moneypenny is the loyal and witty secretary to M in the James Bond series, known for her playful, unfulfilled romantic tension with 007.
-
B.
Le Chiffre
Le Chiffre is a notorious villain in the James Bond universe, best known as the primary antagonist and high-stakes gambler in Ian Fleming’s novel and its film adaptations.
-
C.
Honey Ryder
Honey Ryder is a fictional Bond girl and shell diver who becomes James Bond’s ally and love interest in the 1962 film "Dr. No."
-
D.
Vesper Lynd
Vesper Lynd is a pivotal James Bond character, best known as the complex and tragic love interest in "Casino Royale" whose actions profoundly shape Bond’s emotional life and future.
-
E.
Felix Leiter
Felix Leiter is a recurring CIA operative and ally of James Bond in the James Bond franchise.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3da8d508190b56b29d7f235d2c4 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac119fd16c81908c43b6d3dc6d53b6 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.