Triple
T16950372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleh Tyahnybok |
E411165
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oleh |
E245704
|
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: Oleh | Statement: [Oleh Tyahnybok, givenName, Oleh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleh Context triple: [Oleh Tyahnybok, givenName, Oleh]
-
A.
Oleh
Oleh is a prominent town in Delta State, Nigeria, recognized as one of the key centers of the Urhobo people.
-
B.
Oleh
chosen
Oleh is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
-
C.
John By
John By was a British military engineer and lieutenant-colonel best known for supervising the construction of the Rideau Canal and founding the settlement that became Ottawa, Canada.
-
D.
Ole
Ole is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark.
-
E.
Olah
Olah is a Hungarian surname most notably associated with Nobel Prize–winning chemist George A. Olah.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cff033ec8190b927c0f3da0b321b |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:31 a.m.