Triple
T1647899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAP |
E35622
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object |
Claus Wellenreuther
Claus Wellenreuther is a German entrepreneur best known as one of the co-founders of the enterprise software company SAP.
|
E257410
|
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: Claus Wellenreuther | Statement: [SAP, hasFounder, Claus Wellenreuther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claus Wellenreuther Context triple: [SAP, hasFounder, Claus Wellenreuther]
-
A.
Heinz Ewald
Heinz Ewald was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
B.
Heinz Emigholz
Heinz Emigholz is a German filmmaker and artist best known for his experimental films and architectural documentaries.
-
C.
Bruno Bräuer
Bruno Bräuer was a German Luftwaffe general during World War II, known for commanding airborne and occupation forces in the Mediterranean and on Crete.
-
D.
Jürgen Ovens
Jürgen Ovens was a 17th-century German-Danish Baroque painter known for his portraits and history paintings, active primarily in Schleswig and the Netherlands.
-
E.
Jochen Nickel
Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
- 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: Claus Wellenreuther Triple: [SAP, hasFounder, Claus Wellenreuther]
Generated description
Claus Wellenreuther is a German entrepreneur best known as one of the co-founders of the enterprise software company SAP.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claus Wellenreuther Target entity description: Claus Wellenreuther is a German entrepreneur best known as one of the co-founders of the enterprise software company SAP.
-
A.
Heinz Ewald
Heinz Ewald was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
B.
Heinz Emigholz
Heinz Emigholz is a German filmmaker and artist best known for his experimental films and architectural documentaries.
-
C.
Bruno Bräuer
Bruno Bräuer was a German Luftwaffe general during World War II, known for commanding airborne and occupation forces in the Mediterranean and on Crete.
-
D.
Jürgen Ovens
Jürgen Ovens was a 17th-century German-Danish Baroque painter known for his portraits and history paintings, active primarily in Schleswig and the Netherlands.
-
E.
Jochen Nickel
Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a640ea88190822906da575d5165 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95d90d2c8190b826a0b988537abf |
completed | March 9, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69ae97a599148190b8da79986a0b69f3 |
completed | March 9, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae97f65d7c8190b1405da9728e9d5e |
completed | March 9, 2026, 9:50 a.m. |
Created at: March 4, 2026, 7:29 p.m.