Triple

T9101587
Position Surface form Disambiguated ID Type / Status
Subject «На дне» E218169 entity
Predicate ключевой персонаж P9202 FINISHED
Object Пепел
Пепел — один из центральных персонажей пьесы Максима Горького «На дне», вороватый, но внутренне противоречивый и способный к нравственному прозрению житель ночлежки.
 E778198 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: Пепел | Statement: [«На дне», ключевой персонаж, Пепел]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Пепел
Context triple: [«На дне», ключевой персонаж, Пепел]
  • A. The Peth
    The Peth is a Welsh rock band co-founded by actor and musician Rhys Ifans, known for its energetic, guitar-driven sound.
  • B. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • C. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • D. Orgelet
    Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
  • E. Pankouri
    Pankouri is a notable literary work by the acclaimed Bangladeshi poet Al Mahmud.
  • 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: Пепел
Triple: [«На дне», ключевой персонаж, Пепел]
Generated description
Пепел — один из центральных персонажей пьесы Максима Горького «На дне», вороватый, но внутренне противоречивый и способный к нравственному прозрению житель ночлежки.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Пепел
Target entity description: Пепел — один из центральных персонажей пьесы Максима Горького «На дне», вороватый, но внутренне противоречивый и способный к нравственному прозрению житель ночлежки.
  • A. The Peth
    The Peth is a Welsh rock band co-founded by actor and musician Rhys Ifans, known for its energetic, guitar-driven sound.
  • B. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • C. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • D. Orgelet
    Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
  • E. Pankouri
    Pankouri is a notable literary work by the acclaimed Bangladeshi poet Al Mahmud.
  • 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.