Triple

T9101317
Position Surface form Disambiguated ID Type / Status
Subject Pelageya Nilovna Vlasova E218162 entity
Predicate patronymic P7966 FINISHED
Object Nilovna
Nilovna is the patronymic name of Pelageya Nilovna Vlasova, the central working-class mother figure in Maxim Gorky’s novel "Mother."
E778188 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: Nilovna | Statement: [Pelageya Nilovna Vlasova, patronymic, Nilovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilovna
Context triple: [Pelageya Nilovna Vlasova, patronymic, Nilovna]
  • A. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • B. Zhdanova
    Zhdanova is a Russian-language surname commonly borne by women and associated with several notable figures in Russian and post-Soviet public life.
  • C. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • D. Isaeva
    Isaeva is a Russian surname most notably borne by Maria Dmitrievna Isaeva, the wife of the renowned writer Fyodor Dostoevsky.
  • E. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • 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: Nilovna
Triple: [Pelageya Nilovna Vlasova, patronymic, Nilovna]
Generated description
Nilovna is the patronymic name of Pelageya Nilovna Vlasova, the central working-class mother figure in Maxim Gorky’s novel "Mother."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nilovna
Target entity description: Nilovna is the patronymic name of Pelageya Nilovna Vlasova, the central working-class mother figure in Maxim Gorky’s novel "Mother."
  • A. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • B. Zhdanova
    Zhdanova is a Russian-language surname commonly borne by women and associated with several notable figures in Russian and post-Soviet public life.
  • C. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • D. Isaeva
    Isaeva is a Russian surname most notably borne by Maria Dmitrievna Isaeva, the wife of the renowned writer Fyodor Dostoevsky.
  • E. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • 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.