Triple
T16543361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mönch |
E401877
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | J. Siegen |
E401877
|
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: J. Siegen | Statement: [Mönch, firstAscentBy, J. Siegen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. Siegen Context triple: [Mönch, firstAscentBy, J. Siegen]
-
A.
J. Siegen
chosen
J. Siegen is a mountaineer known for making the first recorded ascent of the Swiss peak Mönch in the Bernese Alps.
-
B.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
C.
Aschwin zur Lippe-Biesterfeld
Aschwin zur Lippe-Biesterfeld was a German nobleman of the House of Lippe and the father of Prince Bernhard of Lippe-Biesterfeld, consort to Queen Juliana of the Netherlands.
-
D.
Albert Paris Gütersloh
Albert Paris Gütersloh was an Austrian painter, writer, and influential art teacher associated with the Vienna School of Fantastic Realism.
-
E.
Olaf Kölzig
Olaf Kölzig is a former German-Canadian NHL goaltender best known for his long, standout career with the Washington Capitals, including winning the Vezina Trophy in 2000.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455fab34819086c77ff45b85f5db |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b3248c8190b63793bfc072aa4f |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.