Triple

T8681935
Position Surface form Disambiguated ID Type / Status
Subject Qt E206057 entity
Predicate component P35 FINISHED
Object Qt Multimedia E206057 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: Qt Multimedia | Statement: [Qt, component, Qt Multimedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qt Multimedia
Context triple: [Qt, component, Qt Multimedia]
  • A. Qt chosen
    Qt is a cross-platform application development framework widely used for building graphical user interfaces and multi-platform software in C++.
  • B. GStreamer
    GStreamer is an open-source multimedia framework used to build complex audio and video processing pipelines across multiple platforms.
  • C. KDE Frameworks
    KDE Frameworks is a collection of modular, reusable libraries and software components that provide core functionality and services for building KDE and Qt-based applications.
  • D. DirectShow
    DirectShow is a Microsoft multimedia framework and API used on Windows for capturing, processing, and playing audio and video streams.
  • E. VLC media player
    VLC media player is a free, open-source, cross-platform multimedia player and framework known for playing a vast range of audio and video formats without needing additional codecs.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae82e508190b0243328e98fcb1d completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.