Triple
T34954730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hàn Thế Thành |
E1008095
|
entity |
| Predicate | usesTeXEngine |
P191719
|
FINISHED |
| Object | Knuth TeX |
—
|
NE NERFINISHED |
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: Knuth TeX | Statement: [Hàn Thế Thành, usesTeXEngine, Knuth TeX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTeXEngine Context triple: [Hàn Thế Thành, usesTeXEngine, Knuth TeX]
-
A.
latexType
Indicates that one entity specifies or classifies the LaTeX formatting or representation type associated with another entity.
-
B.
hasLatex
Indicates that one entity possesses, contains, or is associated with latex in relation to another entity.
-
C.
hasLatexColor
Indicates that one entity is associated with a specific color value defined in LaTeX formatting.
-
D.
useText
Indicates that one entity employs or applies a specific text as a resource, tool, or content in performing an action or fulfilling a function.
-
E.
usesTextBy
Indicates that one entity makes use of or relies on a text authored or provided by another entity.
- F. None of above. chosen
Provenance (4 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4 p.m.