Triple

T7518484
Position Surface form Disambiguated ID Type / Status
Subject Oren Patashnik E177704 entity
Predicate associatedWith P37 FINISHED
Object TeX E61023 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: TeX | Statement: [Oren Patashnik, associatedWith, TeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TeX
Context triple: [Oren Patashnik, associatedWith, TeX]
  • 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. TeXworks
    TeXworks is a free, cross-platform LaTeX editing environment that provides an integrated PDF viewer and a simple, TeXShop-inspired interface for creating and typesetting documents.
  • C. pdfTeX
    pdfTeX is an extended version of Knuth’s TeX engine that can directly generate PDF output and offers advanced typographic and microtypographic features.
  • D. TeX typesetting system chosen
    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. LaTeX Companion
    The LaTeX Companion is a comprehensive reference book that explains advanced LaTeX features, packages, and best practices for typesetting professional-quality documents.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ef834608190bf425f99222a4bc5 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:46 p.m.