Triple
T831259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grossglockner |
E17969
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
Sepp Klotz
Sepp Klotz was a mountaineer known for being among the first climbers to successfully ascend Austria’s highest peak, the Grossglockner.
|
E97948
|
NE FINISHED |
How this triple was built (4 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: Sepp Klotz | Statement: [Grossglockner, firstAscentBy, Sepp Klotz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sepp Klotz Context triple: [Grossglockner, firstAscentBy, Sepp Klotz]
-
A.
Rolf Frick
Rolf Frick is an individual notable enough to be recognized as a prominent bearer of the surname Frick.
-
B.
Heinz Emigholz
Heinz Emigholz is a German filmmaker and artist best known for his experimental films and architectural documentaries.
-
C.
Ueli Maurer
Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
-
D.
Hannes Nikel
Hannes Nikel was a German film editor known for his work on major German and international productions, including the war drama "Stalingrad" (1993).
-
E.
Heinz Schaller
Heinz Schaller was a German molecular biologist and entrepreneur best known for co-founding the biotechnology company Biogen.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sepp Klotz Triple: [Grossglockner, firstAscentBy, Sepp Klotz]
Generated description
Sepp Klotz was a mountaineer known for being among the first climbers to successfully ascend Austria’s highest peak, the Grossglockner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sepp Klotz Target entity description: Sepp Klotz was a mountaineer known for being among the first climbers to successfully ascend Austria’s highest peak, the Grossglockner.
-
A.
Rolf Frick
Rolf Frick is an individual notable enough to be recognized as a prominent bearer of the surname Frick.
-
B.
Heinz Emigholz
Heinz Emigholz is a German filmmaker and artist best known for his experimental films and architectural documentaries.
-
C.
Ueli Maurer
Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
-
D.
Hannes Nikel
Hannes Nikel was a German film editor known for his work on major German and international productions, including the war drama "Stalingrad" (1993).
-
E.
Heinz Schaller
Heinz Schaller was a German molecular biologist and entrepreneur best known for co-founding the biotechnology company Biogen.
- F. None of above. chosen
Provenance (5 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9991488190808adb29d3ad6273 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a7799f87f08190ad393ce92c938030 |
completed | March 4, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a77a2ef9d08190abc60490b4409d79 |
completed | March 4, 2026, 12:17 a.m. |
Created at: March 1, 2026, 7:38 p.m.