Triple

T26156732
Position Surface form Disambiguated ID Type / Status
Subject Ivan Dmitrievich Kasatkin E659984 entity
Predicate alsoKnownAs P39 FINISHED
Object Nikolai Kasatkin
Nikolai Kasatkin was a Russian painter of the late 19th and early 20th centuries, known for his realist depictions of workers and everyday life and regarded as one of the founders of Soviet social realism in art.
E1803822 NE FINISHED

How this triple was built (2 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: Nikolai Kasatkin | Statement: [Ivan Dmitrievich Kasatkin, alsoKnownAs, Nikolai Kasatkin]
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: Nikolai Kasatkin
Triple: [Ivan Dmitrievich Kasatkin, alsoKnownAs, Nikolai Kasatkin]
Generated description
Nikolai Kasatkin was a Russian painter of the late 19th and early 20th centuries, known for his realist depictions of workers and everyday life and regarded as one of the founders of Soviet social realism in art.

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_69ee5bc5a9908190899d39ce95c6d215 completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60c10f82c8190a102d95ec1941efc completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8d0158881909c14d103987e178b completed May 26, 2026, 4:22 p.m.
NEDg Description generation batch_6a15ca0309908190b067af60dc77238a completed May 26, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_6a15caa74e9c8190ad43be1d8ed6ad15 completed May 26, 2026, 4:30 p.m.
Created at: April 26, 2026, 8:28 p.m.