Triple
T3233183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maike Kohl-Richter |
E67789
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kohl-Richter
Kohl-Richter is the hyphenated surname of Maike Kohl-Richter, the second wife of former German Chancellor Helmut Kohl.
|
E64832
|
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: Kohl-Richter | Statement: [Maike Kohl-Richter, familyName, Kohl-Richter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohl-Richter Context triple: [Maike Kohl-Richter, familyName, Kohl-Richter]
-
A.
Ruländer
Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
-
B.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
C.
Gütermann
Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
-
D.
Kohl
Kohl is a German surname most prominently associated with Helmut Kohl, the long-serving Chancellor of Germany who oversaw the country’s reunification.
-
E.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
- 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: Kohl-Richter Triple: [Maike Kohl-Richter, familyName, Kohl-Richter]
Generated description
Kohl-Richter is the hyphenated surname of Maike Kohl-Richter, the second wife of former German Chancellor Helmut Kohl.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kohl-Richter Target entity description: Kohl-Richter is the hyphenated surname of Maike Kohl-Richter, the second wife of former German Chancellor Helmut Kohl.
-
A.
Ruländer
Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
-
B.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
C.
Gütermann
Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
-
D.
Kohl
chosen
Kohl is a German surname most prominently associated with Helmut Kohl, the long-serving Chancellor of Germany who oversaw the country’s reunification.
-
E.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
- F. None of above.
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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedb718c8190aae12f763033713a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2773b494c8190a2c0c5042e8eaa55 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27844c6708190ac61f00a74a2ef27 |
completed | March 12, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27911ff1481908a36f279a871c510 |
completed | March 12, 2026, 8:28 a.m. |
Created at: March 8, 2026, 3:08 p.m.