Triple
T4688387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwab |
E103974
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Werner Schwab
Werner Schwab was an Austrian playwright known for his darkly grotesque, experimental dramas that gained prominence in the late 20th-century German-language theater.
|
E877068
|
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: Werner Schwab | Statement: [Schwab, hasNotableBearer, Werner Schwab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werner Schwab Context triple: [Schwab, hasNotableBearer, Werner Schwab]
-
A.
Wilhelm Schäfer
Wilhelm Schäfer is a prominent computer scientist known for his influential contributions to software engineering research.
-
B.
Werner Sauer
Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
-
C.
Gerhard Schöpfel
Gerhard Schöpfel was a German Luftwaffe fighter ace of World War II who became a high-scoring pilot and commander on the Western Front.
-
D.
Aribert Wäscher
Aribert Wäscher was a German film and stage actor active in the early to mid-20th century, known for his roles in numerous German productions.
-
E.
Hans Wiegel
Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
- 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: Werner Schwab Triple: [Schwab, hasNotableBearer, Werner Schwab]
Generated description
Werner Schwab was an Austrian playwright known for his darkly grotesque, experimental dramas that gained prominence in the late 20th-century German-language theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Werner Schwab Target entity description: Werner Schwab was an Austrian playwright known for his darkly grotesque, experimental dramas that gained prominence in the late 20th-century German-language theater.
-
A.
Wilhelm Schäfer
Wilhelm Schäfer is a prominent computer scientist known for his influential contributions to software engineering research.
-
B.
Werner Sauer
Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
-
C.
Gerhard Schöpfel
Gerhard Schöpfel was a German Luftwaffe fighter ace of World War II who became a high-scoring pilot and commander on the Western Front.
-
D.
Aribert Wäscher
Aribert Wäscher was a German film and stage actor active in the early to mid-20th century, known for his roles in numerous German productions.
-
E.
Hans Wiegel
Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d979c21f5481908bea7fd2c70d2c0b |
completed | April 10, 2026, 10:29 p.m. |
| NEDg | Description generation | batch_69d97c7bc87481908d50eb6f294170eb |
completed | April 10, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: March 20, 2026, 1:16 p.m.