Triple
T6112601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yevhen Koshovyi |
E136280
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Koshovyi
Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
|
E569285
|
NE FINISHED |
How this triple was built (4 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: Koshovyi | Statement: [Yevhen Koshovyi, familyName, Koshovyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koshovyi Context triple: [Yevhen Koshovyi, familyName, Koshovyi]
-
A.
Kudryavy
Kudryavy is an active stratovolcano located on Iturup Island in Russia’s Kuril Island chain, known for its persistent fumarolic activity and gas emissions.
-
B.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
C.
Kologriv
Kologriv is a small historic town in Kostroma Oblast, Russia, known for its traditional wooden architecture and location within a forested, sparsely populated region.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Kamenskiy
Kamenskiy is a Slavic surname, commonly transliterated from Russian or related languages, borne by various individuals across Eastern Europe and the former Soviet Union.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Koshovyi Triple: [Yevhen Koshovyi, familyName, Koshovyi]
Generated description
Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koshovyi Target entity description: Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
-
A.
Kudryavy
Kudryavy is an active stratovolcano located on Iturup Island in Russia’s Kuril Island chain, known for its persistent fumarolic activity and gas emissions.
-
B.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
C.
Kologriv
Kologriv is a small historic town in Kostroma Oblast, Russia, known for its traditional wooden architecture and location within a forested, sparsely populated region.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Kamenskiy
Kamenskiy is a Slavic surname, commonly transliterated from Russian or related languages, borne by various individuals across Eastern Europe and the former Soviet Union.
- F. None of above. chosen
Provenance (5 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125631e008190921206b9e355202b |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c1281a40a0819083e1ed6fe5433016 |
completed | March 23, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c12891264c81908eec332350863b4a |
completed | March 23, 2026, 11:48 a.m. |
Created at: March 22, 2026, 4:13 p.m.