Triple

T21212558
Position Surface form Disambiguated ID Type / Status
Subject Ivan Bunin E522755 entity
Predicate notableWork P4 FINISHED
Object Sukhodol
Sukhodol is a novella by Russian writer Ivan Bunin that portrays the decline of a provincial noble family and the decay of the Russian gentry.
E1472548 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: Sukhodol | Statement: [Ivan Bunin, notableWork, Sukhodol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukhodol
Context triple: [Ivan Bunin, notableWork, Sukhodol]
  • A. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • B. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • C. Horodyshche
    Horodyshche is a town in central Ukraine known as a local administrative and cultural center within the Cherkasy region.
  • D. Snihurivka
    Snihurivka is a small town in southern Ukraine known for its agricultural surroundings and strategic location in Mykolaiv Oblast.
  • E. Yaremche
    Yaremche is a picturesque resort town in western Ukraine’s Carpathian Mountains, known for its scenic landscapes, waterfalls, and hiking opportunities.
  • 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: Sukhodol
Triple: [Ivan Bunin, notableWork, Sukhodol]
Generated description
Sukhodol is a novella by Russian writer Ivan Bunin that portrays the decline of a provincial noble family and the decay of the Russian gentry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sukhodol
Target entity description: Sukhodol is a novella by Russian writer Ivan Bunin that portrays the decline of a provincial noble family and the decay of the Russian gentry.
  • A. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • B. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • C. Horodyshche
    Horodyshche is a town in central Ukraine known as a local administrative and cultural center within the Cherkasy region.
  • D. Snihurivka
    Snihurivka is a small town in southern Ukraine known for its agricultural surroundings and strategic location in Mykolaiv Oblast.
  • E. Yaremche
    Yaremche is a picturesque resort town in western Ukraine’s Carpathian Mountains, known for its scenic landscapes, waterfalls, and hiking opportunities.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7346f762c8190a9f57d9e00d94d28 completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed6e6288190a6c0a10338458117 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097ff28ed0819081cea66e9ea5eaa2 completed May 17, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0981477234819093bc90f3578ddccf completed May 17, 2026, 8:50 a.m.
Created at: April 16, 2026, 3:38 p.m.