Triple
T22443739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESLint |
E554816
|
entity |
| Predicate | supportsIntegration |
P203
|
FINISHED |
| Object | Sublime Text |
—
|
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: Sublime Text | Statement: [ESLint, supportsIntegration, Sublime Text]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sublime Text Context triple: [ESLint, supportsIntegration, Sublime Text]
-
A.
Sublime Text
chosen
Sublime Text is a fast, cross-platform, extensible text editor popular among developers for its powerful features and plugin ecosystem.
-
B.
Visual Studio Code
Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
-
C.
WebStorm
WebStorm is a commercial integrated development environment (IDE) by JetBrains focused on modern JavaScript, TypeScript, and web development.
-
D.
Vim
Vim is a highly configurable, keyboard-driven text editor renowned for its efficiency, modal editing, and extensive plugin ecosystem, widely used by programmers and power users.
-
E.
VIM
VIM is a company that employs Diane Nguyen, likely operating in a professional or corporate services field.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae40f9081908674015beb33f74e |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.