Triple
T9672953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurbriggen |
E234073
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Matthias Zurbriggen |
E43875
|
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: Matthias Zurbriggen | Statement: [Zurbriggen, hasNotableBearer, Matthias Zurbriggen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthias Zurbriggen Context triple: [Zurbriggen, hasNotableBearer, Matthias Zurbriggen]
-
A.
Matthias Zurbriggen
chosen
Matthias Zurbriggen was a Swiss mountaineer and guide renowned for making the first recorded ascent of Aconcagua and several other significant climbs in the Andes and Himalayas.
-
B.
Andreas Küttel
Andreas Küttel is a retired Swiss ski jumper who competed at the highest international level, including World Cup events and multiple Winter Olympics.
-
C.
Beat Wüthrich
Beat Wüthrich is a notable individual who shares the Swiss surname Wüthrich, recognized as one of its distinguished bearers.
-
D.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
E.
Ueli Suter
Ueli Suter is a Swiss computer scientist known for his contributions to computer architecture and his leadership roles in academia.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a2d030c8190ada52e855bc9afc8 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.