Triple

T4991354
Position Surface form Disambiguated ID Type / Status
Subject Arsen Avakov E112136 entity
Predicate name P16 FINISHED
Object Arsen Avakov E112136 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: Arsen Avakov | Statement: [Arsen Avakov, name, Arsen Avakov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsen Avakov
Context triple: [Arsen Avakov, name, Arsen Avakov]
  • A. Arsen Avakov chosen
    Arsen Avakov is a Ukrainian politician who served for many years as the country’s powerful Minister of Internal Affairs, overseeing police and internal security across multiple governments.
  • B. Kyrylo Turchynov
    Kyrylo Turchynov is the son of prominent Ukrainian politician and former acting president Oleksandr Turchynov.
  • C. Pavlo Chubynsky
    Pavlo Chubynsky was a Ukrainian ethnographer, poet, and civic activist best known as the author of the lyrics to Ukraine’s national anthem.
  • D. Denys Shmyhal
    Denys Shmyhal is a Ukrainian politician and Prime Minister of Ukraine, known for his role in the government led by the Servant of the People party.
  • E. Petro Poroshenko
    Petro Poroshenko is a Ukrainian businessman and politician who served as the fifth President of Ukraine from 2014 to 2019, playing a key role during the country’s post-Maidan transition and conflict with Russia.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd728141d48190a0713e6d33c50fb6 completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be92521bcc8190a1c485216f885778 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:34 p.m.