Triple
T16907617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WEB |
E424602
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | noweb |
E437491
|
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: noweb | Statement: [WEB, influenced, noweb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: noweb Context triple: [WEB, influenced, noweb]
-
A.
noweb
chosen
noweb is a simple, language-independent literate programming tool that lets programmers interleave documentation and source code in a single, well-structured file.
-
B.
WEBN
WEBN is a Cincinnati-based FM radio station best known for its long-running rock format and influential role in the city's music scene.
-
C.
cweave
cweave is a CWEB tool that converts literate C/C++ source files into well-formatted documentation, typically in TeX.
-
D.
CWEB literate programming system
The CWEB literate programming system is a software tool created by Donald E. Knuth (with Silvio Levy) that integrates C or C++ source code with richly formatted documentation to produce both compilable programs and high-quality typeset descriptions.
-
E.
Nunjucks
Nunjucks is a powerful JavaScript templating engine, inspired by Jinja2, commonly used to generate dynamic HTML in web applications and design systems.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b98d5c8190b61de47b246549e3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.