Triple
T21660399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Gegenbaur |
E534578
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gegenbaur |
E534578
|
NE FINISHED |
How this triple was built (2 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: Gegenbaur | Statement: [Carl Gegenbaur, familyName, Gegenbaur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gegenbaur Context triple: [Carl Gegenbaur, familyName, Gegenbaur]
-
A.
Carl Gegenbaur
chosen
Carl Gegenbaur was a 19th-century German anatomist and zoologist known for pioneering comparative anatomy and influencing evolutionary biology.
-
B.
Köhler
Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
-
C.
Syrio Forel
Syrio Forel is a master swordsman and former First Sword of Braavos who teaches Arya Stark the Braavosi "water dancing" style of fencing in the world of Game of Thrones.
-
D.
Leuckart
Leuckart is a German surname most notably associated with zoologist and parasitologist Rudolf Leuckart.
-
E.
Nissalke
Nissalke is the surname of Tom Nissalke, an American professional basketball coach known for his stints in the NBA and ABA.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c07bcb88190a9864672c20325ff |
completed | April 27, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a159c33788190bf71df313526b663 |
completed | May 17, 2026, 7:23 p.m. |
Created at: April 16, 2026, 6:36 p.m.