Triple
T20183635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Bhaer |
E492795
|
entity |
| Predicate | isYoungerSonOf |
P80223
|
FINISHED |
| Object | Friedrich Bhaer |
—
|
NE NERFINISHED |
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: Friedrich Bhaer | Statement: [Rob Bhaer, isYoungerSonOf, Friedrich Bhaer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedrich Bhaer Context triple: [Rob Bhaer, isYoungerSonOf, Friedrich Bhaer]
-
A.
Friedrich Bhaer
chosen
Friedrich Bhaer is a kind, scholarly German professor and later Jo March’s husband in Louisa May Alcott’s novel "Little Women" and its sequels.
-
B.
Peter Pfaff
Peter Pfaff is the son of Indian economist and politician Anita Bose Pfaff and the grandson of Indian nationalist leader Subhas Chandra Bose.
-
C.
Conrad Pfaff
Conrad Pfaff is an individual notable enough to be recognized as a distinguished bearer of the surname Pfaff.
-
D.
Andreas Achenbach
Andreas Achenbach was a prominent 19th-century German landscape painter associated with the Düsseldorf school, renowned for his dramatic seascapes and atmospheric natural scenes.
-
E.
Rob Bhaer
Rob Bhaer is the younger son of Jo March and Professor Friedrich Bhaer in Louisa May Alcott’s "Little Women" series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.