Triple
T440392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGM |
E10100
|
entity |
| Predicate | producedFilmSeries |
P13184
|
FINISHED |
| Object | James Bond (co-producer on many films) |
—
|
LITERAL 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: James Bond (co-producer on many films) | Statement: [MGM, producedFilmSeries, James Bond (co-producer on many films)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedFilmSeries Context triple: [MGM, producedFilmSeries, James Bond (co-producer on many films)]
-
A.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
B.
executiveProducerOf
Indicates that one entity serves as the executive producer responsible for overseeing the creation or production of another entity, such as a film, series, or other media work.
-
C.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
D.
televisionFilm
Indicates that the subject is a television film (a movie produced for or originally distributed via television).
-
E.
alsoPlayedIn
Indicates that an entity (such as a person or performer) participated or appeared in another work, production, or context in addition to the one already referenced.
- F. None of above. chosen
Provenance (4 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2977888190a0590b2c1bd2f5da |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddcf50c8190bfa0d1f8ee9f604a |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.