Triple
T19568305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar Beverages |
E489642
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Polar Mixers |
—
|
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: Polar Mixers | Statement: [Polar Beverages, hasBrand, Polar Mixers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polar Mixers Context triple: [Polar Beverages, hasBrand, Polar Mixers]
-
A.
Polar Beverages
chosen
Polar Beverages is a long-established, family-owned American beverage company best known for its sparkling seltzers, soft drinks, and mixers, particularly in the New England region.
-
B.
Fancy Ices
Fancy Ices is a late-19th-century cookbook by Agnes Marshall that focuses on elaborate ice creams, sorbets, and frozen desserts, showcasing Victorian-era confectionery innovation.
-
C.
Ice Machines
"Ice Machines" is a musical track whose title evokes the cold, mechanical atmosphere suggested by its association with the piece "First Two Pages of Frankenstein."
-
D.
Bluder
Bluder is a surname most notably associated with Lisa Bluder, the longtime head coach of the University of Iowa women's basketball team.
-
E.
Blenders Pride
Blenders Pride is a popular Indian premium whisky brand known for its smooth taste and strong presence in the mid-range spirits market.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f79adf08190b1c0b008f30b0acd |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.