Triple
T6431232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Fischer |
E129781
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Anna Herdegen
Anna Herdegen was the mother of German organic chemist and Nobel laureate Hans Fischer.
|
E595820
|
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: Anna Herdegen | Statement: [Hans Fischer, mother, Anna Herdegen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Herdegen Context triple: [Hans Fischer, mother, Anna Herdegen]
-
A.
Therese Giehse
Therese Giehse was a prominent German stage and film actress, renowned for her powerful performances in works by Bertolt Brecht and for her opposition to the Nazi regime.
-
B.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
C.
Johanna Herting
Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
-
D.
Beverley Schäfer
Beverley Schäfer is a South African politician who serves as the Deputy Speaker of the Western Cape Provincial Parliament.
-
E.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
- 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: Anna Herdegen Triple: [Hans Fischer, mother, Anna Herdegen]
Generated description
Anna Herdegen was the mother of German organic chemist and Nobel laureate Hans Fischer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Herdegen Target entity description: Anna Herdegen was the mother of German organic chemist and Nobel laureate Hans Fischer.
-
A.
Therese Giehse
Therese Giehse was a prominent German stage and film actress, renowned for her powerful performances in works by Bertolt Brecht and for her opposition to the Nazi regime.
-
B.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
C.
Johanna Herting
Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
-
D.
Beverley Schäfer
Beverley Schäfer is a South African politician who serves as the Deputy Speaker of the Western Cape Provincial Parliament.
-
E.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693b872c819082a7d0e257018831 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6538ca31c8190b4a24662c4eeffe9 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6542f23548190a0905c0e2c7341f6 |
completed | March 27, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c654918d9881909f3886ec52a7b00b |
completed | March 27, 2026, 9:57 a.m. |
Created at: March 22, 2026, 4:44 p.m.