Triple
T22918330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain Dew |
E568790
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Diet Mountain Dew |
—
|
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 Mountain Dew | Statement: [Mountain Dew, hasVariant, Diet Mountain Dew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diet Mountain Dew Context triple: [Mountain Dew, hasVariant, Diet Mountain Dew]
-
A.
Diet Mountain Dew
chosen
"Diet Mountain Dew" is a sultry, retro-tinged pop track by Lana Del Rey from her album *Born to Die*, blending dreamy vocals with themes of reckless romance and Americana glamour.
-
B.
Polar Diet Cola
Polar Diet Cola is a zero-calorie cola-flavored soft drink produced by the American beverage company Polar Beverages.
-
C.
Diet Coke
Diet Coke is a popular sugar-free, low-calorie soft drink that serves as the primary diet cola offering from The Coca-Cola Company.
-
D.
Mountain Dew
Mountain Dew is a popular citrus-flavored soft drink brand known for its high caffeine content and association with youth and extreme sports.
-
E.
Diet Dr Pepper
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.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.