Triple
T3781034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Time to Die |
E85416
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Barbara Broccoli |
E199103
|
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: Barbara Broccoli | Statement: [No Time to Die, producer, Barbara Broccoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Broccoli Context triple: [No Time to Die, producer, Barbara Broccoli]
-
A.
Barbara Broccoli
chosen
Barbara Broccoli is a prominent film producer best known for overseeing the James Bond franchise through Eon Productions.
-
B.
Kate O'Mara
Kate O'Mara was a British actress best known for her glamorous, often villainous roles in television dramas such as Dynasty and Doctor Who.
-
C.
Claire Bloom
Claire Bloom is an acclaimed English actress known for her distinguished stage and screen career, including prominent roles in classic films, television dramas, and Shakespearean productions.
-
D.
Rita Tushingham
Rita Tushingham is an English actress known for her distinctive, wide-eyed look and acclaimed performances in 1960s British cinema, including key roles in films of the British New Wave.
-
E.
Lara Pulver
Lara Pulver is a British actress known for her roles in television series such as "Sherlock" and "Spooks," as well as various film and stage productions.
- 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.