Triple
T15307491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunstgewerbeschule Dresden |
E365940
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Karl Völker
Karl Völker was a German painter and architect associated with early 20th-century modernist and avant-garde movements.
|
E1389136
|
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: Karl Völker | Statement: [Kunstgewerbeschule Dresden, notableStudent, Karl Völker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Völker Context triple: [Kunstgewerbeschule Dresden, notableStudent, Karl Völker]
-
A.
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.
-
B.
Volker Braun
Volker Braun is a German writer and poet known for his politically engaged works that critically examine life in East Germany and the legacy of socialism.
-
C.
Max Riemelt
Max Riemelt is a German actor best known internationally for his role as Wolfgang Bogdanow in the Netflix science fiction series Sense8.
-
D.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
E.
Karl Rammelt
Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
- 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: Karl Völker Triple: [Kunstgewerbeschule Dresden, notableStudent, Karl Völker]
Generated description
Karl Völker was a German painter and architect associated with early 20th-century modernist and avant-garde movements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karl Völker Target entity description: Karl Völker was a German painter and architect associated with early 20th-century modernist and avant-garde movements.
-
A.
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.
-
B.
Volker Braun
Volker Braun is a German writer and poet known for his politically engaged works that critically examine life in East Germany and the legacy of socialism.
-
C.
Max Riemelt
Max Riemelt is a German actor best known internationally for his role as Wolfgang Bogdanow in the Netflix science fiction series Sense8.
-
D.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
E.
Karl Rammelt
Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787a179d8819087a885c6864498f3 |
completed | May 15, 2026, 8:52 p.m. |
| NEDg | Description generation | batch_6a079032e8b48190b9c2ab601713f94a |
completed | May 15, 2026, 9:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07908eb4c08190b112fa48e0892fe7 |
completed | May 15, 2026, 9:30 p.m. |
Created at: April 10, 2026, 3:16 a.m.