Triple

T2752658
Position Surface form Disambiguated ID Type / Status
Subject TeX E61023 entity
Predicate influenced P9 FINISHED
Object METAFONT E94983 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: METAFONT | Statement: [TeX, influenced, METAFONT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: METAFONT
Context triple: [TeX, influenced, METAFONT]
  • A. METAFONT chosen
    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.
  • B. Font’s Point
    Font’s Point is a scenic overlook in California’s Anza-Borrego Desert famed for its sweeping sunrise views over the eroded badlands.
  • C. PostScript
    PostScript is a page description and programming language widely used in desktop publishing and printing to precisely define the layout and appearance of text and graphics.
  • D. 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.
  • E. OpenType font technology
    OpenType font technology is a scalable, cross-platform font format developed by Microsoft and Adobe that supports advanced typographic features such as ligatures, contextual substitutions, and complex script shaping.
  • 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.