Triple
T38450921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spotlight (cinematography) |
E912171
|
entity |
| Predicate | cameraMovementStyle |
P180654
|
FINISHED |
| Object | measured |
—
|
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: measured | Statement: [Spotlight (cinematography), cameraMovementStyle, measured]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraMovementStyle Context triple: [Spotlight (cinematography), cameraMovementStyle, measured]
-
A.
cameraStyle
Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
-
B.
hasCinematicMovement
chosen
Indicates that an entity exhibits or involves a style of movement characteristic of cinematic techniques, such as dynamic camera-like motion or film-inspired transitions.
-
C.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
D.
cameraSwitchesTo
Indicates that the active camera view changes from one camera to another.
-
E.
supportsCameraControl
Indicates that one entity provides functionality for another entity to remotely manage or adjust camera settings or operations.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.