Triple
T13236249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seconds |
E315152
|
entity |
| Predicate | cameraTechniques |
P2760
|
FINISHED |
| Object | extensive use of wide-angle lenses |
—
|
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: extensive use of wide-angle lenses | Statement: [Seconds, cameraTechniques, extensive use of wide-angle lenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraTechniques Context triple: [Seconds, cameraTechniques, extensive use of wide-angle lenses]
-
A.
filmingTechnique
chosen
Indicates the specific method or style used to capture visual content during the filming process.
-
B.
cameraTechnology
Indicates the type or characteristics of camera-related technology associated with an entity.
-
C.
cameraStyle
Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
-
D.
cameraConfiguration
Indicates the specific setup or arrangement of a camera’s parameters or components in a given context.
-
E.
observingTechnique
Indicates the method or procedure used to carry out an observation.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:22 p.m.