Triple
T1725497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shining (1980 film) |
E37485
|
entity |
| Predicate | cinematicTechnique |
P2760
|
FINISHED |
| Object | Steadicam tracking shots |
—
|
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: Steadicam tracking shots | Statement: [The Shining (1980 film), cinematicTechnique, Steadicam tracking shots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cinematicTechnique Context triple: [The Shining (1980 film), cinematicTechnique, Steadicam tracking shots]
-
A.
filmingTechnique
chosen
Indicates the specific method or style used to capture visual content during the filming process.
-
B.
cinematographyBy
Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
-
C.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
D.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
E.
filmEditingAcademyAward
Indicates that an entity received or is associated with an Academy Award specifically for film editing.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.