Triple

T6790187
Position Surface form Disambiguated ID Type / Status
Subject Adobe Media Encoder E155911 entity
Predicate supportsStandard P1587 FINISHED
Object DNxHD E618934 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: DNxHD | Statement: [Adobe Media Encoder, supportsStandard, DNxHD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNxHD
Context triple: [Adobe Media Encoder, supportsStandard, DNxHD]
  • A. DNxHD chosen
    DNxHD is a high-definition video codec developed by Avid, widely used in professional post-production for high-quality, edit-friendly media.
  • B. 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.
  • C. ProRes RAW
    ProRes RAW is a high-quality, compressed raw video codec developed by Apple that combines the flexibility of raw image data with the performance and efficiency of the ProRes format for professional video production.
  • D. 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.
  • E. ARRI RAW
    ARRI RAW is a high-quality, uncompressed digital cinema camera format developed by ARRI that preserves maximum image data for professional film and video production workflows.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ab4ce88190b6311e4d5aac758c completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723cc35cc8190b5affdfd363171ba completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:15 p.m.