Triple

T15647921
Position Surface form Disambiguated ID Type / Status
Subject Oleksandr Turchynov E376228 entity
Predicate familyName P18 FINISHED
Object Turchynov E376228 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: Turchynov | Statement: [Oleksandr Turchynov, familyName, Turchynov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turchynov
Context triple: [Oleksandr Turchynov, familyName, Turchynov]
  • A. Turchynov chosen
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • B. Grechko
    Grechko is a Russian surname most notably associated with Soviet military leader Andrei Grechko, a Marshal of the Soviet Union and former Minister of Defense.
  • C. Fedoruk
    Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
  • D. Khoyski
    Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
  • E. Tupolski
    Tupolski is a hard-edged, morally ambiguous police detective in Martin McDonagh’s dark play "The Pillowman," known for his interrogations and psychological manipulation.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.