Triple
T29216108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Follow |
E740670
|
entity |
| Predicate | isPromotionalFilmFor |
P61924
|
FINISHED |
| Object | BMW |
—
|
NE NERFINISHED |
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: BMW | Statement: [The Follow, isPromotionalFilmFor, BMW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPromotionalFilmFor Context triple: [The Follow, isPromotionalFilmFor, BMW]
-
A.
promotionalFor
chosen
Indicates that one entity serves to advertise, market, or otherwise promote another entity, such as a product, service, event, or brand.
-
B.
isFromFilm
Indicates that something (such as a quote, character, scene, or element) originates from or appears in a particular film.
-
C.
isPreCodeFilm
Indicates that a film was produced and released before the enforcement of the Hollywood Production Code (Hays Code), and thus belongs to the pre-Code era.
-
D.
isMotionPicture
Indicates that the subject is a motion picture (a film or movie work).
-
E.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 12:13 p.m.