Triple

T9101586
Position Surface form Disambiguated ID Type / Status
Subject «На дне» E218169 entity
Predicate ключевой персонаж P9202 FINISHED
Object Наташа
Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
 E779206 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: Наташа | Statement: [«На дне», ключевой персонаж, Наташа]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Наташа
Context triple: [«На дне», ключевой персонаж, Наташа]
  • A. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • B. Natasha
    Natasha is a central character in Anton Chekhov's play "Three Sisters," known for her social ascent and disruptive influence on the Prozorov family.
  • C. Natasha
    Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
  • D. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • E. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • 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: Наташа
Triple: [«На дне», ключевой персонаж, Наташа]
Generated description
Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Наташа
Target entity description: Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
  • A. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • B. Natasha
    Natasha is a central character in Anton Chekhov's play "Three Sisters," known for her social ascent and disruptive influence on the Prozorov family.
  • C. Natasha
    Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
  • D. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • E. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • 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_69d030201a048190a3a1166d23c5ae67 completed April 3, 2026, 9:24 p.m.
NEDg Description generation batch_69d032d59aa88190a13580d7950edef6 completed April 3, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69d0332bf8f08190a55240995bc4530e completed April 3, 2026, 9:37 p.m.
Created at: March 30, 2026, 7:15 p.m.