Triple

T6361616
Position Surface form Disambiguated ID Type / Status
Subject Poor Folk E143121 entity
Predicate notableCharacter P1481 FINISHED
Object Bykov
Bykov is a character in Fyodor Dostoevsky’s epistolary novel "Poor Folk," representing part of the social milieu surrounding the impoverished protagonists.
 E587942 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: Bykov | Statement: [Poor Folk, notableCharacter, Bykov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bykov
Context triple: [Poor Folk, notableCharacter, Bykov]
  • A. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • B. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • C. Kostrikov
    Kostrikov is the original surname of Soviet political leader Sergei Kirov, used before he adopted his more famous revolutionary name.
  • D. Koshovyi
    Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
  • E. 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."
  • 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: Bykov
Triple: [Poor Folk, notableCharacter, Bykov]
Generated description
Bykov is a character in Fyodor Dostoevsky’s epistolary novel "Poor Folk," representing part of the social milieu surrounding the impoverished protagonists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bykov
Target entity description: Bykov is a character in Fyodor Dostoevsky’s epistolary novel "Poor Folk," representing part of the social milieu surrounding the impoverished protagonists.
  • A. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • B. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • C. Kostrikov
    Kostrikov is the original surname of Soviet political leader Sergei Kirov, used before he adopted his more famous revolutionary name.
  • D. Koshovyi
    Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
  • E. 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."
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067fa0d0c819098d01545849142fc completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d6d906481908b5883bff18ceec8 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62e2072808190a4f2dd262b631c88 completed March 27, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69c62f1bbdac8190b0cff9fbcddd68a7 completed March 27, 2026, 7:17 a.m.
Created at: March 22, 2026, 4:32 p.m.