Triple
T7592893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | License to Kill |
E179781
|
entity |
| Predicate | hasBondGirl |
P78036
|
FINISHED |
| Object | Lupe Lamora |
E674682
|
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: Lupe Lamora | Statement: [License to Kill, hasBondGirl, Lupe Lamora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupe Lamora Context triple: [License to Kill, hasBondGirl, Lupe Lamora]
-
A.
Lupe Lamora
chosen
Lupe Lamora is a Bond girl and the mistress of drug lord Franz Sanchez who becomes an ally to James Bond in the 1989 film "Licence to Kill."
-
B.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
C.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
D.
Nino
Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
-
E.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86843a7808190a4c1d3c33a7441ed |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:53 p.m.