Triple
T19783327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandro Wüthrich |
E475192
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | 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: Wüthrich | Statement: [Sandro Wüthrich, hasSurname, Wüthrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wüthrich Context triple: [Sandro Wüthrich, hasSurname, Wüthrich]
-
A.
Wüthrich
chosen
Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
-
B.
Wehrli
Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
-
C.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
-
D.
Wolffsohn
Wolffsohn is a Jewish-German surname most notably associated with David Wolffsohn, a prominent Zionist leader and successor to Theodor Herzl as head of the World Zionist Organization.
-
E.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65385ee8081908d58cc3ff05b9b23 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.