Triple
T37480226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rec. 709 |
E931392
|
entity |
| Predicate | nominalLumaCoefficientCb |
P99570
|
FINISHED |
| Object | -0.1146 |
—
|
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: -0.1146 | Statement: [Rec. 709, nominalLumaCoefficientCb, -0.1146]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominalLumaCoefficientCb Context triple: [Rec. 709, nominalLumaCoefficientCb, -0.1146]
-
A.
definesLumaCoefficients
chosen
Indicates that one entity specifies the numerical coefficients used to compute luma (perceived brightness) from color components for another entity.
-
B.
CIE1964uvChromaticity_u
Indicates the u coordinate of an entity’s chromaticity in the CIE 1964 uv color space.
-
C.
chromaticityCoordinatesStandard
Indicates the standard or reference system used to define the chromaticity coordinates associated with a color measurement or representation.
-
D.
CIE1964uvChromaticity_v
Indicates the v chromaticity coordinate of a color in the CIE 1964 uv chromaticity 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:17 p.m.