Triple
T6752786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang Köhler |
E154379
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Köhler
Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
|
E615415
|
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: Köhler | Statement: [Wolfgang Köhler, familyName, Köhler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köhler Context triple: [Wolfgang Köhler, familyName, Köhler]
-
A.
Nissalke
Nissalke is the surname of Tom Nissalke, an American professional basketball coach known for his stints in the NBA and ABA.
-
B.
Stahlecker
Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
-
C.
Schuffenecker
Schuffenecker is the surname of Émile Schuffenecker, a French Post-Impressionist painter and close associate of Paul Gauguin.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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: Köhler Triple: [Wolfgang Köhler, familyName, Köhler]
Generated description
Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Köhler Target entity description: Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
-
A.
Nissalke
Nissalke is the surname of Tom Nissalke, an American professional basketball coach known for his stints in the NBA and ABA.
-
B.
Stahlecker
Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
-
C.
Schuffenecker
Schuffenecker is the surname of Émile Schuffenecker, a French Post-Impressionist painter and close associate of Paul Gauguin.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1dd98388190aafeea580a181df1 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1c4594819084716e21b16191e3 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70c4111848190906b0e43cf4ae325 |
completed | March 27, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70cbb8644819091a8a9c061dfd605 |
completed | March 27, 2026, 11:03 p.m. |
Created at: March 27, 2026, 2:11 p.m.