Triple
T21752514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KitKat |
E536948
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | KitKat Ruby |
—
|
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 Ruby | Statement: [KitKat, hasVariant, KitKat Ruby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KitKat Ruby Context triple: [KitKat, hasVariant, KitKat Ruby]
-
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.
Matz
Matz is the nickname of Yukihiro Matsumoto, the Japanese software engineer best known as the creator of the Ruby programming language.
-
C.
Matz
Matz is a surname most notably associated with individuals such as Peter Matz, an American musician, composer, and arranger.
-
D.
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."
-
E.
Kit Kat Jam
"Kit Kat Jam" is a song by the Dave Matthews Band, known for its intricate rhythms and improvisational live performances.
- 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.