Triple
T17617635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrier-Jouët |
E429125
|
entity |
| Predicate | productType |
P87
|
FINISHED |
| Object | Champagne |
—
|
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: Champagne | Statement: [Perrier-Jouët, productType, Champagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champagne Context triple: [Perrier-Jouët, productType, Champagne]
-
A.
Champagne
chosen
Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
-
B.
Champagne
"Champagne" is a track by the musical group Duotones, likely featuring their characteristic style and sound.
-
C.
Champagne Papi
Champagne Papi is the widely recognized social media handle and nickname of Canadian rapper, singer, and songwriter Drake.
-
D.
Champagne Brice
Champagne Brice is a grower-producer Champagne house based in the Grand Cru village of Bouzy, known for its Pinot Noir–driven wines.
-
E.
Demi-Sec Champagne
Demi-Sec Champagne is a relatively sweet style of sparkling wine from France’s Champagne region, typically enjoyed as a dessert wine or with rich, flavorful dishes.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d33a2b081908deecee773c333af |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.