Triple
T21041658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kit Kat Klub |
E518339
|
entity |
| Predicate | notableSongContext |
P116848
|
FINISHED |
| Object | Willkommen |
—
|
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: Willkommen | Statement: [Kit Kat Klub, notableSongContext, Willkommen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willkommen Context triple: [Kit Kat Klub, notableSongContext, Willkommen]
-
A.
Willkommen
chosen
"Willkommen" is the iconic opening number from the musical *Cabaret*, introducing the seedy, seductive world of the Kit Kat Klub and its enigmatic Emcee.
-
B.
Benvenuto
Benvenuto is an Italian masculine given name most famously borne by the Renaissance sculptor and goldsmith Benvenuto Cellini.
-
C.
Bienvenues
Bienvenues is a renowned component of the name of the prestigious Burgundy Grand Cru white wine Bienvenues-Bâtard-Montrachet.
-
D.
Welkom
Welkom is a South African city in the Free State province known historically for its gold mining industry and planned urban layout.
-
E.
Bienvenüe
Bienvenüe is a French surname most notably associated with Fulgence Bienvenüe, the engineer often called the "father" of the Paris Métro.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcefe4688190ad1bed1ef2d7a3e5 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.