Triple
T22374527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TJ Holowaychuk |
E553120
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Mocha test framework |
—
|
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: Mocha test framework | Statement: [TJ Holowaychuk, knownFor, Mocha test framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mocha test framework Context triple: [TJ Holowaychuk, knownFor, Mocha test framework]
-
A.
mocha
chosen
Mocha is a popular JavaScript test framework for Node.js and the browser, providing a flexible, feature-rich environment for writing and running asynchronous tests.
-
B.
mocha CLI
mocha CLI is the command-line interface for the Mocha JavaScript test framework, used to configure, run, and report automated tests from the terminal.
-
C.
MUnit
MUnit is a testing framework designed for Mule applications that enables developers to create, automate, and run unit and integration tests within the MuleSoft ecosystem.
-
D.
Minitest
Minitest is a lightweight, built-in Ruby testing library that provides unit, spec, and mocking capabilities for Ruby applications.
-
E.
QUnit
QUnit is a JavaScript unit testing framework commonly used for testing web applications and libraries, especially in the jQuery ecosystem.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15806b534819083716c2b090ede42 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.