Triple

T18266006
Position Surface form Disambiguated ID Type / Status
Subject Computer Modern E437484 entity
Predicate usedBy P260 FINISHED
Object METAFONT NE NERFINISHED

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: [Computer Modern, usedBy, METAFONT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: METAFONT
Context triple: [Computer Modern, usedBy, 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. The METAFONTbook
    The METAFONTbook is Donald Knuth’s comprehensive manual and reference guide to the METAFONT system for designing and programming digital typefaces.
  • C. METAPOST
    METAPOST is a programming language and system for creating vector graphics, especially technical illustrations, by producing PostScript output using a syntax similar to METAFONT.
  • D. Font Bureau
    Font Bureau is an independent type foundry known for designing and distributing a wide range of professional digital typefaces used in publishing, branding, and user interfaces.
  • E. XeTeX
    XeTeX is an extension of the TeX typesetting system that natively supports Unicode and modern font technologies like OpenType, enabling high-quality multilingual and typographically advanced document production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7af85c81909859e7247738a535 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.