Triple
T8411268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petro Doroshenko |
E198628
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Petro Dorošenko |
E198628
|
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: Petro Dorošenko | Statement: [Petro Doroshenko, alsoKnownAs, Petro Dorošenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petro Dorošenko Context triple: [Petro Doroshenko, alsoKnownAs, Petro Dorošenko]
-
A.
Petro Doroshenko
chosen
Petro Doroshenko was a 17th-century Ukrainian Cossack hetman known for his efforts to unify Ukrainian lands and navigate between Ottoman, Polish, and Russian influence.
-
B.
Yevhen Petrushevych
Yevhen Petrushevych was a Ukrainian lawyer, politician, and statesman who led the West Ukrainian People’s Republic during its brief existence after World War I.
-
C.
Petro Kosach
Petro Kosach was a Ukrainian public figure and civil servant best known as the father of the prominent writer and poet Lesya Ukrainka.
-
D.
Roman Danylovych
Roman Danylovych was a 13th-century Ruthenian prince from the ruling dynasty of the Kingdom of Galicia–Volhynia in Eastern Europe.
-
E.
Yevhen Koshovyi
Yevhen Koshovyi is a Ukrainian comedian and actor best known for his long-time work with the popular comedy troupe and TV show "Kvartal 95."
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e0341c819080506e696131671e |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6e745864819086bab0864719ed7f |
completed | April 3, 2026, 7:38 a.m. |
Created at: March 30, 2026, 6:05 p.m.