Triple

T7941741
Position Surface form Disambiguated ID Type / Status
Subject Windows Media Player E184407 entity
Predicate supportsFormat P203 FINISHED
Object WMV E193862 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: WMV | Statement: [Windows Media Player, supportsFormat, WMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WMV
Context triple: [Windows Media Player, supportsFormat, WMV]
  • A. WMV chosen
    WMV (Windows Media Video) is a series of Microsoft-developed video compression formats commonly used for streaming and storing digital video on Windows platforms.
  • B. WMP
    WMP is an abbreviation for Western Malayo-Polynesian, a traditional subgrouping of the Austronesian language family encompassing many languages of western Island Southeast Asia and nearby regions.
  • C. AVI
    AVI (Audio Video Interleave) is a multimedia container format developed by Microsoft for storing synchronized audio and video data.
  • D. WAV
    WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
  • E. 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.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0c16b8819093c5d1719cd65ee3 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c1265008190a97ccedf92f9234e completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:09 p.m.