Triple
T22058420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Käsemann |
E545083
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Käsemann
Käsemann is a German surname most notably associated with Ernst Käsemann, an influential 20th-century Lutheran theologian and New Testament scholar.
|
E1516338
|
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: Käsemann | Statement: [Ernst Käsemann, familyName, Käsemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Käsemann Context triple: [Ernst Käsemann, familyName, Käsemann]
-
A.
Tönisvorst
Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
-
B.
Vurste
Vurste is a village in the municipality of Gavere in East Flanders, Belgium.
-
C.
Krostitz
Krostitz is a small municipality in the German state of Saxony, situated north of Leipzig and known for its regional brewery.
-
D.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
E.
Muskateller
Muskateller is a highly aromatic white wine grape variety, closely related to the Muscat family, known for its intense floral and grapey flavors.
- 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: Käsemann Triple: [Ernst Käsemann, familyName, Käsemann]
Generated description
Käsemann is a German surname most notably associated with Ernst Käsemann, an influential 20th-century Lutheran theologian and New Testament scholar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Käsemann Target entity description: Käsemann is a German surname most notably associated with Ernst Käsemann, an influential 20th-century Lutheran theologian and New Testament scholar.
-
A.
Tönisvorst
Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
-
B.
Vurste
Vurste is a village in the municipality of Gavere in East Flanders, Belgium.
-
C.
Krostitz
Krostitz is a small municipality in the German state of Saxony, situated north of Leipzig and known for its regional brewery.
-
D.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
E.
Muskateller
Muskateller is a highly aromatic white wine grape variety, closely related to the Muscat family, known for its intense floral and grapey flavors.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285959f48190b89527b3f9e7ab11 |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80a7327481908cb334464a04cd31 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a81b570388190bc13c4cd23aa14b4 |
completed | May 18, 2026, 3:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a82933f388190a8b587b8cf956a7d |
completed | May 18, 2026, 3:08 a.m. |
Created at: April 16, 2026, 8:27 p.m.