Triple
T18560951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovsei-Gershon Aronovich Radomyslsky |
E453636
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Radomyslsky |
—
|
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: Radomyslsky | Statement: [Ovsei-Gershon Aronovich Radomyslsky, familyName, Radomyslsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radomyslsky Context triple: [Ovsei-Gershon Aronovich Radomyslsky, familyName, Radomyslsky]
-
A.
Radomyshl
chosen
Radomyshl is a historic town in northern Ukraine, known for its Jewish heritage and role within the Zhytomyr Oblast region.
-
B.
Radomsko
Radomsko is a town in central Poland known as the birthplace of renowned poet and playwright Tadeusz Różewicz.
-
C.
Kolodiazhne
Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
-
D.
Krasnobród
Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
-
E.
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5380a46f08190afe7ca2ddfe209d5 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:42 a.m.