Triple
T30370066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMPTE ST 2086 |
E772522
|
entity |
| Predicate | colorPrimariesReference |
P23088
|
FINISHED |
| Object | CIE 1931 primary chromaticities |
—
|
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: CIE 1931 primary chromaticities | Statement: [SMPTE ST 2086, colorPrimariesReference, CIE 1931 primary chromaticities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorPrimariesReference Context triple: [SMPTE ST 2086, colorPrimariesReference, CIE 1931 primary chromaticities]
-
A.
colorPrimaries
Indicates the primary color components or base colors used to define the color representation of an image or visual signal.
-
B.
chromaticityCoordinatesStandard
chosen
Indicates the standard or reference system used to define the chromaticity coordinates associated with a color measurement or representation.
-
C.
usesEOTF
Indicates that one entity applies or relies on a specific Electro-Optical Transfer Function (EOTF) to convert or interpret image signal values.
-
D.
whitePoint
Indicates the reference color point or standard white used as a basis for color measurements or calibration in a color space.
-
E.
chromaSubsamplingOptions
Indicates how color information is reduced or sampled relative to luminance in an image or video signal.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 29, 2026, 7:59 p.m.