Triple
T19281669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andriy Zahorodniuk |
E482202
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zahorodniuk |
—
|
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: Zahorodniuk | Statement: [Andriy Zahorodniuk, familyName, Zahorodniuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zahorodniuk Context triple: [Andriy Zahorodniuk, familyName, Zahorodniuk]
-
A.
Zahorodniuk
chosen
Zahorodniuk is a Ukrainian surname most notably borne by Andriy Zahorodniuk, a former Minister of Defence of Ukraine.
-
B.
Czeremcha
Czeremcha is a village in northeastern Poland that serves as a local railway junction and border-area transport hub near Belarus.
-
C.
Sudylkiv
Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
-
D.
Klimczok
Klimczok is a prominent mountain peak in southern Poland, located in the Silesian Beskids range and popular for hiking and winter sports.
-
E.
Burtka
Burtka is a surname most prominently associated with American actor and chef David Burtka and his family.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.