Triple
T19168778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruderhofspitze |
E469257
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | S. Pfurtscheller |
—
|
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: S. Pfurtscheller | Statement: [Ruderhofspitze, firstAscentBy, S. Pfurtscheller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. Pfurtscheller Context triple: [Ruderhofspitze, firstAscentBy, S. Pfurtscheller]
-
A.
J. Pfurtscheller
chosen
J. Pfurtscheller was an alpinist known for making the first recorded ascent of the Ruderhofspitze in the Stubai Alps.
-
B.
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.
-
C.
Jens Blauert
Jens Blauert is a German acoustician renowned for his pioneering work in spatial hearing and psychoacoustics.
-
D.
Manfred R. Schroeder
Manfred R. Schroeder was a pioneering German physicist and acoustician known for his influential work in speech processing, room acoustics, and the development of modern audio and signal compression techniques.
-
E.
Dieter W. Heermann
Dieter W. Heermann is a physicist known for his work in computational physics and biophysics, particularly in the modeling of complex systems such as polymers and chromatin.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16132e081908c6b8d576163316e |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.