Triple

T9101318
Position Surface form Disambiguated ID Type / Status
Subject Pelageya Nilovna Vlasova E218162 entity
Predicate familyName P18 FINISHED
Object Vlasova
Vlasova is a Russian surname most notably associated with the fictional character Pelageya Nilovna Vlasova from Maxim Gorky’s novel "Mother."
 E778189 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: Vlasova | Statement: [Pelageya Nilovna Vlasova, familyName, Vlasova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vlasova
Context triple: [Pelageya Nilovna Vlasova, familyName, Vlasova]
  • A. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • B. Peshkov
    Peshkov is a Russian surname most famously borne by Alexei Maximovich Peshkov, better known by his pen name Maxim Gorky, a prominent writer and political activist.
  • C. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • D. Mylovanov
    Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
  • E. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • 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: Vlasova
Triple: [Pelageya Nilovna Vlasova, familyName, Vlasova]
Generated description
Vlasova is a Russian surname most notably associated with the fictional character Pelageya Nilovna Vlasova from Maxim Gorky’s novel "Mother."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vlasova
Target entity description: Vlasova is a Russian surname most notably associated with the fictional character Pelageya Nilovna Vlasova from Maxim Gorky’s novel "Mother."
  • A. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • B. Peshkov
    Peshkov is a Russian surname most famously borne by Alexei Maximovich Peshkov, better known by his pen name Maxim Gorky, a prominent writer and political activist.
  • C. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • D. Mylovanov
    Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
  • E. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc971435d08190b5007ed44ac0a364 completed April 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0182d8ea08190b4337a77b47019a5 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019666cb08190b66298ff86a7e1af completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a700ce48190868d445bde2462dc completed April 3, 2026, 7:52 p.m.
Created at: March 30, 2026, 7:15 p.m.