Triple

T37480245
Position Surface form Disambiguated ID Type / Status
Subject Rec. 709 E931392 entity
Predicate differsFromSRGBIn P188686 FINISHED
Object transfer function 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: transfer function | Statement: [Rec. 709, differsFromSRGBIn, transfer function]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differsFromSRGBIn
Context triple: [Rec. 709, differsFromSRGBIn, transfer function]
  • A. hasBetterColorReproductionThan
    Indicates that one entity produces more accurate or higher-quality color representation than another entity.
  • B. usesColorMatchingFunctions
    Indicates that one entity applies color matching functions to relate or convert color stimuli between different color spaces or representations.
  • 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. supportsColorSampling
    Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
  • E. colorSystemCompatibleWith
    Indicates that one color system can be accurately used, interpreted, or converted within the context of another color system without loss of intended color meaning.
  • F. None of above. chosen

Provenance (4 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_69fbacaf54648190811ea33b34907e8e completed May 6, 2026, 9:03 p.m.
PD Predicate disambiguation batch_69fba883f770819091059c6f6c6af9f7 completed May 6, 2026, 8:45 p.m.
PDg Predicate description generation batch_69fbacaea12c8190a4c99e64335f0e7e completed May 6, 2026, 9:03 p.m.
Created at: May 3, 2026, 4:17 p.m.