Triple

T2752657
Position Surface form Disambiguated ID Type / Status
Subject TeX E61023 entity
Predicate influenced P9 FINISHED
Object LuaTeX E95187 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: LuaTeX | Statement: [TeX, influenced, LuaTeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LuaTeX
Context triple: [TeX, influenced, LuaTeX]
  • A. 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.
  • B. TeX typesetting system
    TeX is a widely influential digital typesetting system created by Donald Knuth, renowned for its precision in mathematical and technical document preparation and its foundational role in modern computer typesetting.
  • C. METAFONT
    METAFONT is a font description and rasterization system created by Donald Knuth for designing and generating bitmap fonts, particularly for use with the TeX typesetting system.
  • D. Lua chosen
    Lua is a lightweight, embeddable scripting language widely used for game development, configuration, and extending applications.
  • E. CWEB literate programming system
    The CWEB literate programming system is a software tool created by Donald E. Knuth (with Silvio Levy) that integrates C or C++ source code with richly formatted documentation to produce both compilable programs and high-quality typeset descriptions.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6d08088190b489de15a120ba3f completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdb43d481909bf4e61840979c0a completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.