Triple
T12899322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pTeX |
E308574
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | plain TeX |
E621159
|
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: plain TeX | Statement: [pTeX, compatibleWith, plain TeX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: plain TeX Context triple: [pTeX, compatibleWith, plain TeX]
-
A.
plain TeX
chosen
plain TeX is Donald Knuth’s original, low-level typesetting system that provides a minimal, macro-based foundation for creating structured documents and is often used as a base for higher-level formats like LaTeX.
-
B.
BasicTeX
BasicTeX is a lightweight, minimal TeX distribution for macOS that provides the core LaTeX tools without the large package set of full MacTeX.
-
C.
The TeXbook
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.
-
D.
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.
-
E.
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.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8cec96c819089d253162bc4705a |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:40 p.m.