Triple
T4128897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urs Bühler |
E84991
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bühler |
E84991
|
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: Bühler | Statement: [Urs Bühler, familyName, Bühler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bühler Context triple: [Urs Bühler, familyName, Bühler]
-
A.
Bühler
chosen
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
-
B.
Voith
Voith is a German multinational engineering company known for its technologies and services in sectors such as energy, paper, raw materials, and transportation.
-
C.
Erla Maschinenwerk
Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
-
D.
Deutz AG
Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
-
E.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af021c5ca48190a829bab07dda55d0 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a83f4a548190a1ba9720b1f35ec9 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 9, 2026, 3:42 p.m.