Triple
T875216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleksandr Kornienko |
E18901
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oleksandr |
E50936
|
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: Oleksandr | Statement: [Oleksandr Kornienko, givenName, Oleksandr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleksandr Context triple: [Oleksandr Kornienko, givenName, Oleksandr]
-
A.
Oleksandr
chosen
Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
-
B.
Andriy
Andriy is a Slavic given name, equivalent to the English name Andrew.
-
C.
Oleksandr Pikalov
Oleksandr Pikalov is a Ukrainian actor, comedian, and producer best known as one of the co-founders and key members of the comedy production company Kvartal 95 Studio.
-
D.
Vladyslav Kryklii
Vladyslav Kryklii is a Ukrainian politician who served as the country’s Minister of Infrastructure in the late 2010s.
-
E.
Oleksiy Orzhel
Oleksiy Orzhel is a Ukrainian politician and energy expert who served as Minister of Energy and Environmental Protection in the government of Oleksiy Honcharuk.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acae12948190923d31966c26a130 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac257f3b2c819082a16c7242d89404 |
completed | March 7, 2026, 1:17 p.m. |
Created at: March 1, 2026, 7:39 p.m.