Triple
T8760189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piz Bernina |
E208176
|
entity |
| Predicate | firstAscendedBy |
P1321
|
FINISHED |
| Object | Johann Coaz |
E663164
|
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: Johann Coaz | Statement: [Piz Bernina, firstAscendedBy, Johann Coaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johann Coaz Context triple: [Piz Bernina, firstAscendedBy, Johann Coaz]
-
A.
Johann Friedrich Weskott
Johann Friedrich Weskott was a 19th-century German businessman and co-founder of the pharmaceutical and chemical company Bayer.
-
B.
Johann Joseph Bennen
chosen
Johann Joseph Bennen was a pioneering 19th-century Swiss mountain guide and alpinist known for making several notable first ascents in the Alps.
-
C.
Johann von Thielmann
Johann von Thielmann was a Prussian general of the Napoleonic Wars, noted for his leadership of Prussian forces during the Waterloo campaign.
-
D.
Johann Joseph Kauffmann
Johann Joseph Kauffmann was an Austrian painter and church decorator best known today as the father and early teacher of the celebrated artist Angelica Kauffman.
-
E.
Karl Geiler
Karl Geiler was a German politician and legal scholar who served as the first post-World War II Minister-President of the state of Hesse.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5df9729481908679151988b76d2f |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf434bcac08190be07175a26804185 |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.