Triple
T4770524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wüthrich |
E105915
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Josef Wüthrich |
E471429
|
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: Josef Wüthrich | Statement: [Wüthrich, hasNotableBearer, Josef Wüthrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josef Wüthrich Context triple: [Wüthrich, hasNotableBearer, Josef Wüthrich]
-
A.
Wolfgang Ehrlich
Wolfgang Ehrlich is a notable individual who shares the Ehrlich surname, recognized enough to be specifically cited as a bearer of the name.
-
B.
Hans Wüthrich
Hans Wüthrich is a Swiss master cheesemaker renowned for his expertise in crafting and refining traditional Swiss cheeses.
-
C.
Werner Wüthrich
chosen
Werner Wüthrich is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Wüthrich.
-
D.
Gerhard H. Brandt
Gerhard H. Brandt is a film producer best known for his work on the movie "Fedora."
-
E.
Peter Joachim Fröhlich
Peter Joachim Fröhlich, better known as Peter Gay, was a German-born American historian and educator renowned for his influential works on the Enlightenment, the bourgeois experience, and the history of psychoanalysis.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655c9a2c8190adce3e2a8a1fa0a7 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c971a688190b0023727acdbd9f7 |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:21 p.m.