Triple
T19637214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werner Wüthrich |
E471429
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Werner Wüthrich |
—
|
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: Werner Wüthrich | Statement: [Werner Wüthrich, name, Werner Wüthrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werner Wüthrich Context triple: [Werner Wüthrich, name, Werner Wüthrich]
-
A.
Werner Wüthrich
chosen
Werner Wüthrich is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Wüthrich.
-
B.
Hans Wüthrich
Hans Wüthrich is a Swiss master cheesemaker renowned for his expertise in crafting and refining traditional Swiss cheeses.
-
C.
Kurt Wüthrich
Kurt Wüthrich is a Swiss chemist and Nobel laureate renowned for pioneering the use of nuclear magnetic resonance (NMR) spectroscopy to determine the three-dimensional structures of biological macromolecules.
-
D.
Urs Wüthrich
Urs Wüthrich is a Swiss politician known for his role in cantonal government and contributions to education and cultural policy.
-
E.
Richard R. Ernst
Richard R. Ernst was a Swiss physical chemist and Nobel laureate renowned for his pioneering contributions to the development of high-resolution nuclear magnetic resonance (NMR) spectroscopy.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64107f3fc8190ace6ae67287d280c |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.