Triple
T20038634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr Pepper Snapple Group |
E497349
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Canada Dry |
—
|
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: Canada Dry | Statement: [Dr Pepper Snapple Group, brand, Canada Dry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canada Dry Context triple: [Dr Pepper Snapple Group, brand, Canada Dry]
-
A.
Canada Dry
chosen
Canada Dry is a popular soft drink brand best known for its ginger ale and other flavored carbonated beverages.
-
B.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
C.
Carling
Carling is a commune in northeastern France, known historically for its coal mining and industrial activity in the Moselle department.
-
D.
Molson
Molson is one of Canada's oldest and most prominent breweries, known for its flagship Molson Canadian beer and its foundational role in the country's brewing industry.
-
E.
Smirnoff
Smirnoff is a globally popular vodka brand known for its wide range of flavored spirits and ready-to-drink beverages.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e9e99c81909b7d50eac893c414 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.