Triple

T8289474
Position Surface form Disambiguated ID Type / Status
Subject Video for Windows E193857 entity
Predicate category P87 FINISHED
Object Windows multimedia API E618937 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: Windows multimedia API | Statement: [Video for Windows, category, Windows multimedia API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows multimedia API
Context triple: [Video for Windows, category, Windows multimedia API]
  • A. Video for Windows
    Video for Windows is an early Microsoft multimedia framework and API for Windows that enabled digital video playback and editing on PCs in the 1990s.
  • B. Win32 API
    Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
  • C. DirectShow
    DirectShow is a Microsoft multimedia framework and API used on Windows for capturing, processing, and playing audio and video streams.
  • D. Windows Media Player
    Windows Media Player is Microsoft’s built-in multimedia application for playing audio, video, and streaming media on Windows operating systems.
  • E. Windows Media chosen
    Windows Media is a collection of Microsoft multimedia technologies and formats used for playing, streaming, and encoding audio and video on Windows platforms.
  • 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_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.
Created at: March 30, 2026, 5:52 p.m.