Triple

T7143142
Position Surface form Disambiguated ID Type / Status
Subject Pyotr Beketov E166497 entity
Predicate hasFamilyName P18 FINISHED
Object Beketov
Beketov is a Russian surname most notably associated with figures such as explorer and Cossack leader Pyotr Beketov.
 E644813 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: Beketov | Statement: [Pyotr Beketov, hasFamilyName, Beketov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beketov
Context triple: [Pyotr Beketov, hasFamilyName, Beketov]
  • A. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • B. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • C. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • D. Baklanov
    Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • E. Baraniev
    Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
  • 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: Beketov
Triple: [Pyotr Beketov, hasFamilyName, Beketov]
Generated description
Beketov is a Russian surname most notably associated with figures such as explorer and Cossack leader Pyotr Beketov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beketov
Target entity description: Beketov is a Russian surname most notably associated with figures such as explorer and Cossack leader Pyotr Beketov.
  • A. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • B. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • C. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • D. Baklanov
    Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • E. Baraniev
    Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e779ace48190be9c33750e60a79e completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad98576481908b8b82f675079fca completed March 28, 2026, 10:29 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:46 p.m.