Triple

T8289550
Position Surface form Disambiguated ID Type / Status
Subject DirectShow E193859 entity
Predicate supports P516 FINISHED
Object MPEG-1
MPEG-1 is a digital compression standard primarily used for encoding video and audio for media such as Video CDs and early online streaming.
 E193861 NE FINISHED

How this triple was built (4 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-1 | Statement: [DirectShow, supports, MPEG-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MPEG-1
Context triple: [DirectShow, supports, MPEG-1]
  • A. 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.
  • B. 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.
  • C. H.261
    H.261 is an early international video compression standard developed by the ITU-T for real-time video conferencing over ISDN and similar networks.
  • D. 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.
  • E. H.263
    H.263 is a video compression standard developed primarily for low-bitrate communication such as video conferencing and early internet video applications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MPEG-1
Triple: [DirectShow, supports, MPEG-1]
Generated description
MPEG-1 is a digital compression standard primarily used for encoding video and audio for media such as Video CDs and early online streaming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MPEG-1
Target entity description: MPEG-1 is a digital compression standard primarily used for encoding video and audio for media such as Video CDs and early online streaming.
  • 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-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.
  • C. H.261
    H.261 is an early international video compression standard developed by the ITU-T for real-time video conferencing over ISDN and similar networks.
  • D. 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.
  • E. H.263
    H.263 is a video compression standard developed primarily for low-bitrate communication such as video conferencing and early internet video applications.
  • F. None of above.

Provenance (5 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c99fdd48190a3f304237be609a0 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68898610819091a76f89cd2a6aa2 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e2bdae08190adc51e904e85695e completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.