Triple

T33203290
Position Surface form Disambiguated ID Type / Status
Subject VESA DisplayHDR E849960 entity
Predicate usesColorSpace P137834 FINISHED
Object DCI‑P3
DCI‑P3 is a wide-gamut RGB color space originally developed for digital cinema that covers a significantly larger portion of the visible spectrum than the traditional sRGB standard, enabling richer and more saturated colors in modern displays.
 E2042513 NE FINISHED

How this triple was built (3 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: DCI‑P3 | Statement: [VESA DisplayHDR, usesColorSpace, DCI‑P3]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DCI‑P3
Triple: [VESA DisplayHDR, usesColorSpace, DCI‑P3]
Generated description
DCI‑P3 is a wide-gamut RGB color space originally developed for digital cinema that covers a significantly larger portion of the visible spectrum than the traditional sRGB standard, enabling richer and more saturated colors in modern displays.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesColorSpace
Context triple: [VESA DisplayHDR, usesColorSpace, DCI‑P3]
  • A. coversColorSpace
    Indicates that one entity’s color representation range fully includes or spans the color space defined by another entity.
  • B. usesColorSource
    Indicates that one entity obtains or applies its color information from another specified source.
  • C. usesColorMatchingFunctions
    Indicates that one entity applies color matching functions to relate or convert color stimuli between different color spaces or representations.
  • D. isColor
    Indicates that one entity represents the color attribute or hue of another entity.
  • E. supportsColorProfile chosen
    Indicates that one entity is capable of recognizing, handling, or applying the specified color profile associated with another entity.
  • F. None of above.

Provenance (6 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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd5bf69acc819092a01e4259785dc3 completed May 8, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fc40600819092779618431f0ec2 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a353033d4808190b4d8096162a14557 completed June 19, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_6a353298f99c8190a2774b4aab087295 completed June 19, 2026, 12:14 p.m.
PD Predicate disambiguation batch_69fd59b3f4ac8190a7f9dd3142da6e09 completed May 8, 2026, 3:34 a.m.
Created at: May 1, 2026, 1:30 a.m.