Triple
T21752513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KitKat |
E536948
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | KitKat Green Tea |
—
|
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: KitKat Green Tea | Statement: [KitKat, hasVariant, KitKat Green Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KitKat Green Tea Context triple: [KitKat, hasVariant, KitKat Green Tea]
-
A.
KitKat
chosen
KitKat is a globally popular chocolate-covered wafer bar brand known for its distinctive "Have a break, have a KitKat" slogan and crisp, layered texture.
-
B.
Sanka
Sanka is a well-known brand of decaffeinated coffee that became popular in the United States during the 20th century.
-
C.
Kit Kat Klub
The Kit Kat Klub is the decadent, Weimar-era Berlin nightclub that serves as the central setting and symbolic backdrop for the musical and film "Cabaret."
-
D.
Tokyo Iced Tea
Tokyo Iced Tea is a cocktail similar to a Long Island Iced Tea but typically made with melon liqueur and other spirits, giving it a bright green color and sweeter flavor.
-
E.
Nestea
Nestea is a popular ready-to-drink and powdered iced tea beverage brand originally developed and marketed by Nestlé.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8b8b9c8190b1f6a8bc25d69dbb |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.