Triple

T12899631
Position Surface form Disambiguated ID Type / Status
Subject LyX E308580 entity
Predicate developer P73 FINISHED
Object LyX Team E308580 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: LyX Team | Statement: [LyX, developer, LyX Team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LyX Team
Context triple: [LyX, developer, LyX Team]
  • A. LyX chosen
    LyX is an open-source, document processor and graphical front-end for LaTeX that lets users create structured, professional-quality documents without directly writing LaTeX code.
  • B. GNU TeXmacs
    GNU TeXmacs is a free scientific editing platform that combines structured WYSIWYG typesetting with support for mathematical formulas, technical documents, and interaction with computer algebra systems.
  • C. LaTeXiT
    LaTeXiT is a macOS application that lets users quickly typeset LaTeX equations and export them as images or PDFs for use in other documents and presentations.
  • D. LaTeX
    LaTeX is a widely used, high-quality typesetting system particularly popular in academia for producing technical and scientific documents with precise control over layout and mathematical notation.
  • E. TeXstudio
    TeXstudio is a cross-platform, feature-rich integrated writing environment designed to make creating and editing LaTeX documents easier and more efficient.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.