Triple
T18049595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grey Ghost |
E431895
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | spectralFigure |
C39755
|
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: spectralFigure Context triple: [Grey Ghost, instanceOf, spectralFigure]
-
A.
spectral fitting software
Spectral fitting software is a computational tool that models and optimizes the match between observed spectra and theoretical or empirical components to extract physical parameters and characteristics of the source.
-
B.
spectroscopic approximation
A spectroscopic approximation is a simplified theoretical or computational model used to estimate spectroscopic properties (such as energy levels, transition frequencies, or intensities) by neglecting or approximating certain physical effects to make calculations tractable.
-
C.
spectrograph
A spectrograph is an instrument that disperses incoming light or other electromagnetic radiation into its component wavelengths to record and analyze their spectrum.
-
D.
spectrograph
A spectrograph is an instrument that disperses incoming light or other electromagnetic radiation into its component wavelengths to produce a spectrum for analysis.
-
E.
spectroscopic effect
A spectroscopic effect is any observable change or feature in a spectrum—such as shifts, splittings, intensity variations, or line broadenings—that arises from the interaction of electromagnetic radiation with matter and reveals information about a system’s structure, dynamics, or environment.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:25 a.m.