Triple
T35826114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronochrome color system |
E1035646
|
entity |
| Predicate | colorSeparationMethod |
P90051
|
FINISHED |
| Object | optical separation through multiple 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: optical separation through multiple lenses | Statement: [Chronochrome color system, colorSeparationMethod, optical separation through multiple lenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorSeparationMethod Context triple: [Chronochrome color system, colorSeparationMethod, optical separation through multiple lenses]
-
A.
imageSeparationMethod
chosen
Indicates the technique or process used to separate or distinguish different components, regions, or elements within an image.
-
B.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
C.
separationMethod
Indicates the technique or process used to separate one substance, component, or entity from another.
-
D.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
E.
colorModeType
Indicates the type or scheme of color representation or processing applied to an entity (e.g., grayscale, RGB, CMYK).
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:06 p.m.