Triple
T22489203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mocha |
E555969
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Should.js |
—
|
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: Should.js | Statement: [Mocha, compatibleWith, Should.js]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Should.js Context triple: [Mocha, compatibleWith, Should.js]
-
A.
Should.js
chosen
Should.js is a behavior-driven development (BDD) assertion library for Node.js and JavaScript that provides expressive, chainable assertions for testing.
-
B.
Promises! Promises!
Promises! Promises! is a 1963 American sex comedy film best known for featuring Jayne Mansfield in one of the first mainstream Hollywood movies to include nude scenes by a major star.
-
C.
Node.js
Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
-
D.
JS
JS is the commonly used abbreviation for the Juventud Socialista de Chile, the youth wing of Chile's Socialist Party.
-
E.
JS
JS is the commonly used abbreviation for the United States military’s Joint Staff, which assists the Chairman of the Joint Chiefs of Staff in strategic planning and coordination among the armed services.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3f3b4c819092bfe6495c61db46 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.