Triple

T13602050
Position Surface form Disambiguated ID Type / Status
Subject DVD Forum E324965 entity
Predicate relatedStandard P37 FINISHED
Object MPEG-2 E618936 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: MPEG-2 | Statement: [DVD Forum, relatedStandard, MPEG-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG-2
Context triple: [DVD Forum, relatedStandard, MPEG-2]
  • A. MPEG-2 chosen
    MPEG-2 is a widely used digital video and audio compression standard commonly employed for DVDs, digital television broadcasting, and some online video formats.
  • B. 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.
  • C. MPEG-4
    MPEG-4 is a multimedia compression and coding standard widely used for digital audio, video, and interactive media distribution over the internet and other networks.
  • D. MPEG-PS
    MPEG-PS (MPEG Program Stream) is a container format primarily used for storing and playing back audio, video, and other data on media like DVDs, optimized for reliable local playback rather than broadcast transmission.
  • E. MPEG-4 Part 2
    MPEG-4 Part 2 is a video compression standard used for encoding digital video, notably in early MPEG-4 and DivX/Xvid formats.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f92224c8190b66adef1291cd47f completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.