Triple
T20038669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr Pepper Snapple Group |
E497349
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Diet Dr Pepper |
—
|
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: Diet Dr Pepper | Statement: [Dr Pepper Snapple Group, notableProduct, Diet Dr Pepper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diet Dr Pepper Context triple: [Dr Pepper Snapple Group, notableProduct, Diet Dr Pepper]
-
A.
Diet Dr Pepper
chosen
Diet Dr Pepper is a sugar-free, low-calorie version of the Dr Pepper soft drink that maintains a similar distinctive flavor using artificial sweeteners.
-
B.
Chero-Cola
Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
-
C.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
D.
Coke
Coke is an English aristocratic family name historically associated with prominent peers, politicians, and landowners in Britain.
-
E.
Sunkist soda
Sunkist soda is a popular orange-flavored soft drink brand known for its bright citrus taste and wide distribution in the United States.
- 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.