Triple
T7898432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handlebars |
E183388
|
entity |
| Predicate | canBeUsedWith |
P4791
|
FINISHED |
| Object | Grunt |
E97044
|
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: Grunt | Statement: [Handlebars, canBeUsedWith, Grunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grunt Context triple: [Handlebars, canBeUsedWith, Grunt]
-
A.
Grunt
chosen
Grunt is a JavaScript-based task runner commonly used in web development to automate repetitive tasks such as building, testing, and deploying code.
-
B.
Gulp
Gulp is a JavaScript-based task runner and build system commonly used to automate front-end development workflows such as compiling, bundling, and optimizing assets.
-
C.
The Grinder
The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
-
D.
Flynt
Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
-
E.
Jest
Jest is a popular JavaScript testing framework known for its simplicity, built-in mocking, and snapshot testing, commonly used in Node.js and React applications.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a2ae5048190a6824d34b582c366 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb719a08190a0545a361f559bf7 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.