Triple

T799181
Position Surface form Disambiguated ID Type / Status
Subject Donald E. Knuth E17089 entity
Predicate knownFor P22 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: [Donald E. Knuth, knownFor, TeX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TeX
Context triple: [Donald E. Knuth, knownFor, 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. 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.
  • 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. C-text
    C-text is one of the principal textual versions of the Middle English allegorical poem *Piers Plowman*, representing a distinct editorial and manuscript tradition within its complex transmission history.
  • E. TextEdit
    TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b4d9548190aad5fdf1211cf8cd completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67f01cca881908c1d230048be1225 completed March 3, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:38 p.m.