Triple

T10853248
Position Surface form Disambiguated ID Type / Status
Subject Челкаш E256203 entity
Predicate mainCharacter P1183 FINISHED
Object Челкаш
«Челкаш» — это главный герой одноимённого рассказа Максима Горького, бесшабашный портовый вор с бунтарским характером и трагическими чертами.
 E889793 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: Челкаш | Statement: [Челкаш, mainCharacter, Челкаш]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Челкаш
Context triple: [Челкаш, mainCharacter, Челкаш]
  • A. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • B. Čapljina
    Čapljina is a town in southern Bosnia and Herzegovina known for its location in the Neretva River valley near the Croatian border.
  • C. Chardzhev
    Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
  • D. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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: Челкаш
Triple: [Челкаш, mainCharacter, Челкаш]
Generated description
«Челкаш» — это главный герой одноимённого рассказа Максима Горького, бесшабашный портовый вор с бунтарским характером и трагическими чертами.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Челкаш
Target entity description: «Челкаш» — это главный герой одноимённого рассказа Максима Горького, бесшабашный портовый вор с бунтарским характером и трагическими чертами.
  • A. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • B. Čapljina
    Čapljina is a town in southern Bosnia and Herzegovina known for its location in the Neretva River valley near the Croatian border.
  • C. Chardzhev
    Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
  • D. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb18a48248190999f95abc979fa74 completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69ded06ea3c08190a9a9fc5fde2fd62d completed April 14, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69ded43b8ca48190b49f6edf2f46870f completed April 14, 2026, 11:56 p.m.
Created at: April 8, 2026, 9:20 p.m.