Triple
T22374647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jade template engine |
E553122
|
entity |
| Predicate | renamedTo |
P3432
|
FINISHED |
| Object | Pug |
—
|
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: Pug | Statement: [Jade template engine, renamedTo, Pug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pug Context triple: [Jade template engine, renamedTo, Pug]
-
A.
Pug
chosen
Pug is a high-performance, whitespace-sensitive template engine for Node.js that compiles a concise, indentation-based syntax into HTML for server-side rendering.
-
B.
Pug
Pug is the scheming, foolish devil-turned-servant who drives much of the satirical action in Ben Jonson’s comedy "The Devil Is an Ass."
-
C.
Algy Pug
Algy Pug is a loyal, somewhat pompous but good-hearted pug character who appears as one of Rupert Bear’s close friends in the classic British children’s comic and story series.
-
D.
Pekes
Pekes are a fictional group of small dogs featured in T. S. Eliot’s “Old Possum’s Book of Practical Cats,” often portrayed in humorous rivalry with the Pollicle Dogs.
-
E.
Teckel
Teckel is another name for the dachshund, a small, long-bodied dog breed originally developed in Germany for hunting badgers and other burrowing animals.
- 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.