Triple

T8289506
Position Surface form Disambiguated ID Type / Status
Subject GraphEdit E193858 entity
Predicate supports P516 FINISHED
Object DirectShow filters E37365 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: DirectShow filters | Statement: [GraphEdit, supports, DirectShow filters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DirectShow filters
Context triple: [GraphEdit, supports, DirectShow filters]
  • A. DirectShow chosen
    DirectShow is a Microsoft multimedia framework and API used on Windows for capturing, processing, and playing audio and video streams.
  • B. 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.
  • C. Intel Media SDK
    Intel Media SDK is a software development kit from Intel that enables developers to access and utilize Intel Quick Sync Video hardware acceleration for video encoding, decoding, and processing.
  • D. DirectX
    DirectX is a collection of application programming interfaces (APIs) developed by Microsoft that enables high-performance handling of graphics, sound, and other multimedia tasks, especially for games, on Windows platforms.
  • E. FFmpeg
    FFmpeg is a widely used open-source multimedia framework for decoding, encoding, transcoding, streaming, and processing audio and video across numerous formats and 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.