Triple

T21384884
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Grigorenko E527466 entity
Predicate familyName P18 FINISHED
Object Grigorenko
Grigorenko is a Russian surname borne by various notable individuals, including athletes, politicians, and public figures.
 E1481409 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: Grigorenko | Statement: [Mikhail Grigorenko, familyName, Grigorenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grigorenko
Context triple: [Mikhail Grigorenko, familyName, Grigorenko]
  • A. Koganov
    Koganov is a surname, likely of Slavic or Eastern European origin, used as a variant form of the name Kogan.
  • 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. Gryzlov
    Gryzlov is a Russian surname most prominently associated with Boris Gryzlov, a notable Russian politician and former chairman of the State Duma.
  • D. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • E. Grusinsky
    Grusinsky is a surname of likely Eastern European or Russian origin.
  • 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: Grigorenko
Triple: [Mikhail Grigorenko, familyName, Grigorenko]
Generated description
Grigorenko is a Russian surname borne by various notable individuals, including athletes, politicians, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grigorenko
Target entity description: Grigorenko is a Russian surname borne by various notable individuals, including athletes, politicians, and public figures.
  • A. Koganov
    Koganov is a surname, likely of Slavic or Eastern European origin, used as a variant form of the name Kogan.
  • 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. Gryzlov
    Gryzlov is a Russian surname most prominently associated with Boris Gryzlov, a notable Russian politician and former chairman of the State Duma.
  • D. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • E. Grusinsky
    Grusinsky is a surname of likely Eastern European or Russian origin.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f211c08190b3a129eaa725422e completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b42852288190b2d92faee197aba6 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b5e6d1ac8190aeec88859d17d257 completed May 17, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a09b699fef081909797a5fc50814cb9 completed May 17, 2026, 12:37 p.m.
Created at: April 16, 2026, 5:12 p.m.