Triple
T37480280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rec. 2100 |
E931393
|
entity |
| Predicate | definesHDRTransferFunction |
P106266
|
FINISHED |
| Object | Perceptual Quantizer |
—
|
NE NERFINISHED |
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: Perceptual Quantizer | Statement: [Rec. 2100, definesHDRTransferFunction, Perceptual Quantizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesHDRTransferFunction Context triple: [Rec. 2100, definesHDRTransferFunction, Perceptual Quantizer]
-
A.
usesEOTF
Indicates that one entity applies or relies on a specific Electro-Optical Transfer Function (EOTF) to convert or interpret image signal values.
-
B.
hasTransferFunction
chosen
Indicates that one entity is characterized or defined by a specific transfer function that describes how its input is transformed into output.
-
C.
gammaCurveType
Indicates the specific type or model of gamma correction curve applied in a color or image processing context.
-
D.
usesColorMatchingFunctions
Indicates that one entity applies color matching functions to relate or convert color stimuli between different color spaces or representations.
-
E.
differsFromSRGBIn
Indicates that one color space or color representation is different from the standard sRGB color space in a specified aspect or context.
- 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_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 3, 2026, 4:17 p.m.