Triple
T7391876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Körner |
E170519
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Stephan Körner
Stephan Körner was a Czech-born British philosopher known for his work in the philosophy of mathematics, Kantian philosophy, and the analysis of theoretical reasoning.
|
E678108
|
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: Stephan Körner | Statement: [Körner, hasNotableBearer, Stephan Körner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephan Körner Context triple: [Körner, hasNotableBearer, Stephan Körner]
-
A.
Christoph Körner
Christoph Körner was a Lutheran theologian known for compiling the "Epitome of the Formula of Concord," a key summary of 16th-century Lutheran confessional doctrine.
-
B.
Hans Körner
Hans Körner is a person notable enough to be recognized as a significant bearer of the surname Körner.
-
C.
Kurt Körner
Kurt Körner was a German athlete known for competing in track and field events during the early 20th century.
-
D.
Helmut Körner
Helmut Körner was a German footballer known for playing as a forward in the mid-20th century.
-
E.
Reinhard Körner
Reinhard Körner is a German Catholic theologian and Carmelite priest known for his work in spirituality and religious education.
- 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: Stephan Körner Triple: [Körner, hasNotableBearer, Stephan Körner]
Generated description
Stephan Körner was a Czech-born British philosopher known for his work in the philosophy of mathematics, Kantian philosophy, and the analysis of theoretical reasoning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephan Körner Target entity description: Stephan Körner was a Czech-born British philosopher known for his work in the philosophy of mathematics, Kantian philosophy, and the analysis of theoretical reasoning.
-
A.
Christoph Körner
Christoph Körner was a Lutheran theologian known for compiling the "Epitome of the Formula of Concord," a key summary of 16th-century Lutheran confessional doctrine.
-
B.
Hans Körner
Hans Körner is a person notable enough to be recognized as a significant bearer of the surname Körner.
-
C.
Kurt Körner
Kurt Körner was a German athlete known for competing in track and field events during the early 20th century.
-
D.
Helmut Körner
Helmut Körner was a German footballer known for playing as a forward in the mid-20th century.
-
E.
Reinhard Körner
Reinhard Körner is a German Catholic theologian and Carmelite priest known for his work in spirituality and religious education.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f22318108190a4dde257fe9e947f |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c87067b98081908439af85623a97ea |
completed | March 29, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69c87472b5b881908c4b3856697f0f8c |
completed | March 29, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c874d2ce6c8190a035e117dc881efd |
completed | March 29, 2026, 12:39 a.m. |
Created at: March 27, 2026, 3:09 p.m.