Triple

T17417388
Position Surface form Disambiguated ID Type / Status
Subject AV1 E423521 entity
Predicate predecessor P97 FINISHED
Object VP9 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: VP9 | Statement: [AV1, predecessor, VP9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VP9
Context triple: [AV1, predecessor, VP9]
  • A. VP9 chosen
    VP9 is an open and royalty-free video compression codec developed by Google as a successor to VP8 and an alternative to HEVC/H.265 for high-efficiency video streaming.
  • B. VP9L
    VP9L is a long-slide variant of the Heckler & Koch VP9 striker-fired 9mm pistol, designed to offer improved accuracy and sight radius for competition and precision shooting.
  • C. AV1
    AV1 is a royalty-free, next-generation video compression codec developed by the Alliance for Open Media to efficiently deliver high-quality video over the internet.
  • D. H.265
    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.
  • E. H.266
    H.266, also known as Versatile Video Coding (VVC), is a next-generation video compression standard designed to significantly reduce bitrates compared to its predecessors while maintaining high visual quality for applications up to 8K and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44233c7888190a4d2aa703b206851 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.