Triple
T17961967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Monique government |
E449105
|
entity |
| Predicate | cinematicFranchise |
P7740
|
FINISHED |
| Object | Eon Productions James Bond film series |
—
|
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: Eon Productions James Bond film series | Statement: [San Monique government, cinematicFranchise, Eon Productions James Bond film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cinematicFranchise Context triple: [San Monique government, cinematicFranchise, Eon Productions James Bond film series]
-
A.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
B.
franchiseUniverse
Indicates that multiple works, characters, or stories exist within and are connected by the same overarching fictional franchise or narrative universe.
-
C.
hasMediaFranchise
chosen
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
-
D.
filmSeriesProtagonistOf
Indicates that a character serves as the main recurring protagonist of a particular film series.
-
E.
gameFranchise
Indicates that one entity is a video game franchise to which the other entity (such as a specific game, character, or related media) belongs or is associated.
- F. None of above.
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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b132cc10819088526a0b4b098d69 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.