Triple
T3781059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Time to Die |
E85416
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Felix Leiter |
E103181
|
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: Felix Leiter | Statement: [No Time to Die, character, Felix Leiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felix Leiter Context triple: [No Time to Die, character, Felix Leiter]
-
A.
Felix Leiter
chosen
Felix Leiter is a recurring CIA operative and ally of James Bond in the James Bond franchise.
-
B.
Alec Leamas
Alec Leamas is a jaded British intelligence officer whose morally complex mission at the height of the Cold War drives the plot of John le Carré’s novel "The Spy Who Came in from the Cold."
-
C.
William Parcher
William Parcher is a mysterious, menacing government agent who appears as a figment of John Nash’s delusions in the film "A Beautiful Mind."
-
D.
Maxwell Smart
Maxwell Smart is the bumbling yet oddly effective secret agent protagonist of the classic satirical spy television series "Get Smart."
-
E.
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.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3d98b38819094df9569b549124f |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04353a881908e612a10572eb8c5 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:12 p.m.