Triple

T16907632
Position Surface form Disambiguated ID Type / Status
Subject WEB E424602 entity
Predicate relatedWork P37 FINISHED
Object The TeXbook E295377 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: The TeXbook | Statement: [WEB, relatedWork, The TeXbook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The TeXbook
Context triple: [WEB, relatedWork, The TeXbook]
  • A. The TeXbook chosen
    The TeXbook is Donald Knuth’s authoritative manual and tutorial on the TeX typesetting system, widely regarded as the definitive reference for learning and using TeX.
  • B. Computers & Typesetting
    Computers & Typesetting is Donald Knuth’s multi-volume series that comprehensively documents the TeX typesetting system and its related tools.
  • C. TeX: The Program
    TeX: The Program is Donald Knuth’s companion volume to The TeXbook, presenting the complete, literate-programming source code and detailed commentary for the TeX typesetting system.
  • D. The METAFONTbook
    The METAFONTbook is Donald Knuth’s comprehensive manual and reference guide to the METAFONT system for designing and programming digital typefaces.
  • E. LaTeX User’s Guide and Reference Manual
    The LaTeX User’s Guide and Reference Manual is a comprehensive book that explains how to use the LaTeX typesetting system, covering both introductory tutorials and detailed reference material for commands and packages.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca39f9b08190b15106c6caf895ec completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b98d5c8190b61de47b246549e3 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.