Triple

T9101585
Position Surface form Disambiguated ID Type / Status
Subject «На дне» E218169 entity
Predicate ключевой персонаж P9202 FINISHED
Object Василиса
Василиса — одна из центральных героинь пьесы Максима Горького «На дне», олицетворяющая трагизм и жестокость нищего дна общества.
 E779205 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: Василиса | Statement: [«На дне», ключевой персонаж, Василиса]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Василиса
Context triple: [«На дне», ключевой персонаж, Василиса]
  • A. Grushenka
    Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
  • B. Pelageya
    Pelageya is a Russian singer renowned for her powerful folk-inspired vocals and performances that blend traditional music with contemporary styles.
  • C. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • D. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • E. Tsarevna of Russia
    Tsarevna of Russia was the traditional title given to the daughters or daughters-in-law of a Russian tsar, denoting their status as imperial princesses within the Romanov dynasty.
  • 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: Василиса
Triple: [«На дне», ключевой персонаж, Василиса]
Generated description
Василиса — одна из центральных героинь пьесы Максима Горького «На дне», олицетворяющая трагизм и жестокость нищего дна общества.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Василиса
Target entity description: Василиса — одна из центральных героинь пьесы Максима Горького «На дне», олицетворяющая трагизм и жестокость нищего дна общества.
  • A. Grushenka
    Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
  • B. Pelageya
    Pelageya is a Russian singer renowned for her powerful folk-inspired vocals and performances that blend traditional music with contemporary styles.
  • C. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • D. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • E. Tsarevna of Russia
    Tsarevna of Russia was the traditional title given to the daughters or daughters-in-law of a Russian tsar, denoting their status as imperial princesses within the Romanov dynasty.
  • 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.