Triple

T18810905
Position Surface form Disambiguated ID Type / Status
Subject Igor Belanov E460011 entity
Predicate familyName P18 FINISHED
Object Belanov
Belanov is a Ukrainian surname most famously associated with Igor Belanov, the former Soviet footballer and Ballon d'Or winner.
 E1345188 NE FINISHED

How this triple was built (4 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: Belanov | Statement: [Igor Belanov, familyName, Belanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belanov
Context triple: [Igor Belanov, familyName, Belanov]
  • A. Mylovanov
    Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
  • B. Kivalov
    Kivalov is the surname of Serhiy Kivalov, a Ukrainian politician and legal scholar known for his influential role in the country’s judicial and electoral systems.
  • C. Baklanov
    Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • D. Boria
    Boria is a deity from ancient Illyrian pagan religion, likely associated with natural forces or local tribal worship.
  • E. Baklanova
    Baklanova is a Russian feminine surname, typically derived from the masculine form Baklanov.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Belanov
Triple: [Igor Belanov, familyName, Belanov]
Generated description
Belanov is a Ukrainian surname most famously associated with Igor Belanov, the former Soviet footballer and Ballon d'Or winner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belanov
Target entity description: Belanov is a Ukrainian surname most famously associated with Igor Belanov, the former Soviet footballer and Ballon d'Or winner.
  • A. Mylovanov
    Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
  • B. Kivalov
    Kivalov is the surname of Serhiy Kivalov, a Ukrainian politician and legal scholar known for his influential role in the country’s judicial and electoral systems.
  • C. Baklanov
    Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • D. Boria
    Boria is a deity from ancient Illyrian pagan religion, likely associated with natural forces or local tribal worship.
  • E. Baklanova
    Baklanova is a Russian feminine surname, typically derived from the masculine form Baklanov.
  • F. None of above. chosen

Provenance (5 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dc01248190ab1c8943d180ca05 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a056761bd488190a12051a89a4fc093 completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a05692c88c481909a7e321a4975e12f completed May 14, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0569c79b5c8190a63326c332674dd7 completed May 14, 2026, 6:20 a.m.
Created at: April 10, 2026, 11:53 a.m.