Triple
T26244303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talbot effect |
E656399
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | self-imaging effect |
C51304
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: self-imaging effect Context triple: [Talbot effect, instanceOf, self-imaging effect]
-
A.
intensity interferometry effect
The intensity interferometry effect is the phenomenon where correlations in the intensity fluctuations of light (or other waves) measured at separated detectors reveal information about the spatial structure and coherence properties of the source.
-
B.
photon correlation effect
Photon correlation effect is the phenomenon where statistical correlations between detected photons reveal underlying properties of a light source, such as coherence, quantum statistics, and emission dynamics.
-
C.
optical imaging method
An optical imaging method is a technique that uses light and its interactions with matter to noninvasively capture, visualize, and analyze structural or functional information about an object or sample.
-
D.
speckle imaging camera
A speckle imaging camera is a specialized high-speed imaging device that captures many short-exposure frames to reconstruct high-resolution images by analyzing and processing speckle patterns caused by atmospheric or medium-induced distortions.
-
E.
anamorphic lens system
An anamorphic lens system is an optical arrangement that compresses or expands an image along one axis, enabling widescreen aspect ratios or special visual effects while using standard-sized image sensors or film.
- F. None of above. chosen
Provenance (1 batch)
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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:04 p.m.