Triple
T12161032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Brendel |
E289705
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Wiesenberg
Wiesenberg is a town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of pianist Alfred Brendel.
|
E988029
|
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: Wiesenberg | Statement: [Alfred Brendel, placeOfBirth, Wiesenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiesenberg Context triple: [Alfred Brendel, placeOfBirth, Wiesenberg]
-
A.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
D.
Johannisberg
Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
-
E.
Triesenberg
Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
- 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: Wiesenberg Triple: [Alfred Brendel, placeOfBirth, Wiesenberg]
Generated description
Wiesenberg is a town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of pianist Alfred Brendel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wiesenberg Target entity description: Wiesenberg is a town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of pianist Alfred Brendel.
-
A.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
D.
Johannisberg
Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
-
E.
Triesenberg
Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c395e48190a16e97fd29787a51 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b85782481908cca14d8e8345411 |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:50 p.m.