Triple
T2752695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TeX |
E61023
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | METAFONT |
E94983
|
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: METAFONT | Statement: [TeX, relatedTo, METAFONT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: METAFONT Context triple: [TeX, relatedTo, 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.
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.
-
C.
Font’s Point
Font’s Point is a scenic overlook in California’s Anza-Borrego Desert famed for its sweeping sunrise views over the eroded badlands.
-
D.
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.
-
E.
TeX typesetting system
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.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb6ed9c08190824d1866e198ef80 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc03e69508190b55a4ad83fca3a45 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:56 p.m.