Triple
T6634431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth from Above |
E150411
|
entity |
| Predicate | photographyTechnique |
P62927
|
FINISHED |
| Object | aerial photography from helicopters |
—
|
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: aerial photography from helicopters | Statement: [Earth from Above, photographyTechnique, aerial photography from helicopters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographyTechnique Context triple: [Earth from Above, photographyTechnique, aerial photography from helicopters]
-
A.
photographyGenre
chosen
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
-
B.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
C.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
D.
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.
-
E.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:59 p.m.