Triple

T13556904
Position Surface form Disambiguated ID Type / Status
Subject HDR10 E323797 entity
Predicate competesWith P1375 FINISHED
Object HDR10+ E774111 NE 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: HDR10+ | Statement: [HDR10, competesWith, HDR10+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HDR10+
Context triple: [HDR10, competesWith, HDR10+]
  • A. HDR10+ chosen
    HDR10+ is an advanced high-dynamic-range video format that adds dynamic metadata to optimize brightness, contrast, and color on a scene-by-scene basis.
  • B. HDR10
    HDR10 is an open high-dynamic-range video standard that uses static metadata to deliver enhanced brightness, contrast, and color compared to standard dynamic range content.
  • C. Dolby Vision
    Dolby Vision is a high-dynamic-range (HDR) imaging technology that enhances video with greater brightness, contrast, and color accuracy for a more lifelike viewing experience.
  • D. DisplayHDR
    DisplayHDR is a VESA-defined certification standard that classifies and tests the performance of high dynamic range (HDR) displays across various quality tiers.
  • E. Rec. BT.2020
    Rec. BT.2020 is an ITU-R recommendation that defines a wide color gamut, high dynamic range, and other parameters for ultra-high-definition television (UHDTV) systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb0195c8190b62e7aad4d78f899 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:47 p.m.