Triple

T11352157
Position Surface form Disambiguated ID Type / Status
Subject Joint Video Team E268862 entity
Predicate formedBy P972 FINISHED
Object MPEG E193861 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 | Statement: [Joint Video Team, formedBy, MPEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG
Context triple: [Joint Video Team, formedBy, MPEG]
  • A. MPEG chosen
    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.
  • B. 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.
  • C. MPEG-2
    MPEG-2 is a widely used digital video and audio compression standard commonly employed for DVDs, digital television broadcasting, and some online video formats.
  • D. MPEG-4 container format
    The MPEG-4 container format is a digital multimedia container standard used to store video, audio, subtitles, and other data in a single file, widely adopted for internet streaming and media distribution.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.