Triple

T1936080
Position Surface form Disambiguated ID Type / Status
Subject Photos E41445 entity
Predicate supports P516 FINISHED
Object HEVC E94764 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: HEVC | Statement: [Photos, supports, HEVC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HEVC
Context triple: [Photos, supports, HEVC]
  • A. H.265 chosen
    H.265, also known as High Efficiency Video Coding (HEVC), is a video compression standard designed to significantly reduce bandwidth and storage requirements compared to its predecessor H.264 while maintaining high visual quality.
  • B. H.264
    H.264 is a widely used video compression standard known for delivering high-quality video at relatively low bitrates, commonly employed in streaming, broadcasting, and video recording.
  • C. ProRes
    ProRes is a high-quality, high-performance video compression format developed by Apple and widely used in professional video production and post‑production workflows.
  • D. MPEG
    MPEG is a family of widely used digital audio and video compression standards developed by the Moving Picture Experts Group for efficient storage and transmission of multimedia content.
  • E. 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.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c5f6e481909b2d95861e2098f9 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb52d04819097c3df9691551aaa completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.