Triple
T9462227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Unrat |
E228175
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Rosa Froehlich |
E810981
|
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: Rosa Froehlich | Statement: [Professor Unrat, hasCharacter, Rosa Froehlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa Froehlich Context triple: [Professor Unrat, hasCharacter, Rosa Froehlich]
-
A.
Rosa Fröhlich
chosen
Rosa Fröhlich is a central fictional character in Heinrich Mann’s novel "Professor Unrat," known as the cabaret singer whose relationship with the strict schoolteacher leads to his social and moral downfall.
-
B.
Elisabeth Vietz
Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
-
C.
Ruth Fuchs
Ruth Fuchs was a German javelin thrower and two-time Olympic champion who competed for East Germany in the 1970s.
-
D.
Amalie Rohe
Amalie Rohe was the mother of renowned modernist architect Ludwig Mies van der Rohe.
-
E.
Lisabeth Fischer
Lisabeth Fischer, better known as Cousin Bette, is the vengeful, embittered spinster at the center of Honoré de Balzac’s novel "La Cousine Bette," whose schemes drive the story’s drama and intrigue.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1820ba67881909955c4198c7289b1 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:53 p.m.