Triple

T16642805
Position Surface form Disambiguated ID Type / Status
Subject Kyrylo Turchynov E404384 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: [Kyrylo Turchynov, familyName, Turchynov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turchynov
Context triple: [Kyrylo 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad27b5481908316b4f23fb8bc32 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2ce64c8190970c86b729a6ff83 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.