Triple
T22993199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Fedoruk |
E572110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fedoruk |
—
|
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: Fedoruk | Statement: [Peter Fedoruk, familyName, Fedoruk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fedoruk Context triple: [Peter Fedoruk, familyName, Fedoruk]
-
A.
Fedoruk
chosen
Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
-
B.
Fedorovych
Fedorovych is a Ukrainian patronymic middle name indicating descent from a father named Fedor.
-
C.
Kovpak
Kovpak is a Ukrainian surname most notably associated with Sydir Kovpak, a famed Soviet partisan leader during World War II.
-
D.
Derevko
Derevko is the surname of Irina Derevko, a key character in the television series "Alias."
-
E.
Turchynov
Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f017a88190b02d0649a3af5d99 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.