Triple

T5129689
Position Surface form Disambiguated ID Type / Status
Subject Oleksandr Kornienko E115665 entity
Predicate familyName P18 FINISHED
Object Kornienko E115665 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: Kornienko | Statement: [Oleksandr Kornienko, familyName, Kornienko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kornienko
Context triple: [Oleksandr Kornienko, familyName, Kornienko]
  • A. Kornienko chosen
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • B. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • C. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • D. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • E. Kozhedub
    Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7827c764819086da3b79f2020224 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4c23d5c8190883a297254d9c80d completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:42 p.m.