Triple
T6121824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumba |
E136502
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Werner Stengel |
E224115
|
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: Werner Stengel | Statement: [Kumba, designer, Werner Stengel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werner Stengel Context triple: [Kumba, designer, Werner Stengel]
-
A.
Werner Stengel
chosen
Werner Stengel is a renowned German roller coaster designer and engineer known for pioneering many modern coaster innovations and collaborating on numerous iconic thrill rides worldwide.
-
B.
Heinz Ewald
Heinz Ewald was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
C.
Erich Schmidt
Erich Schmidt is a German literary scholar best known for his influential work in German philology and literary history during the late 19th and early 20th centuries.
-
D.
Herbert Hainer
Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
-
E.
Heinrich Wörner
Heinrich Wörner is a German architect best known for designing the main building of the Topography of Terror documentation center in Berlin.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bf16ad48190958cc46510e02bd3 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125739cd8819081f2c860566f62bf |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.