Triple
T14421739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android 4.4 KitKat |
E357600
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object | KitKat |
E536948
|
NE FINISHED |
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 | Statement: [Android 4.4 KitKat, codename, KitKat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KitKat Context triple: [Android 4.4 KitKat, codename, KitKat]
-
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.
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."
-
C.
Oreo
Oreo is a popular chocolate sandwich cookie with a sweet cream filling, widely recognized as one of the best-selling and most iconic cookie brands in the world.
-
D.
Snickers
Snickers is a character in the Australian animated children's series "Bluey," known as a dachshund pup who is one of Bluey's friends.
-
E.
Kexchoklad
Kexchoklad is a popular Swedish chocolate-covered wafer bar produced by the confectionery company Cloetta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91102c3c81908f571a1fff3bdd47 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bcb131c8190935d9bacb1afc995 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.