Triple
T19039243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lukas Wüthrich |
E465956
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lukas 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: Lukas Wüthrich | Statement: [Lukas Wüthrich, name, Lukas Wüthrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukas Wüthrich Context triple: [Lukas Wüthrich, name, Lukas Wüthrich]
-
A.
Lukas Wüthrich
chosen
Lukas Wüthrich is a person notable enough to be recognized as a prominent bearer of the surname Wüthrich.
-
B.
Dominik Scherrer
Dominik Scherrer is a Swiss-born, London-based composer best known for his atmospheric scores for television dramas and films, including the series "Ripper Street."
-
C.
Markus Wüthrich
Markus Wüthrich is a notable individual who bears the surname Wüthrich, recognized enough to be specifically cited among its prominent holders.
-
D.
Florian Bucher
Florian Bucher is an educator and founder known for establishing the innovative educational institution 42, a tuition-free, peer-to-peer coding school.
-
E.
Lukas Ettlin
Lukas Ettlin is a Swiss-born cinematographer and director known for his work on feature films and television series, including action and genre projects.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7ff9b6c8190adc3917a8c9af7bd |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:02 p.m.