Triple
T5204456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plant Predators |
E117474
|
entity |
| Predicate | featuresCinematography |
P2760
|
FINISHED |
| Object | wildlife macro and long-lens photography |
—
|
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: wildlife macro and long-lens photography | Statement: [Plant Predators, featuresCinematography, wildlife macro and long-lens photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCinematography Context triple: [Plant Predators, featuresCinematography, wildlife macro and long-lens photography]
-
A.
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.
-
B.
filmingTechnique
chosen
Indicates the specific method or style used to capture visual content during the filming process.
-
C.
filmSetting
Indicates the place, time, or environment in which the events of a film are set or take place.
-
D.
cinematographyAwardedTo
Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
-
E.
cameraStyle
Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.