Triple

T27454170
Position Surface form Disambiguated ID Type / Status
Subject Georgy Sviridov E692538 entity
Predicate fullName P16 FINISHED
Object Georgy Vasilyevich Sviridov
Georgy Vasilyevich Sviridov was a prominent 20th-century Russian composer known for his choral, orchestral, and vocal music that often drew on Russian literature and folk traditions.
 E2294617 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: Georgy Vasilyevich Sviridov | Statement: [Georgy Sviridov, fullName, Georgy Vasilyevich Sviridov]
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: Georgy Vasilyevich Sviridov
Triple: [Georgy Sviridov, fullName, Georgy Vasilyevich Sviridov]
Generated description
Georgy Vasilyevich Sviridov was a prominent 20th-century Russian composer known for his choral, orchestral, and vocal music that often drew on Russian literature and folk traditions.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dc89bfc81909987840a660f709f completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c057508d88190bcc24cf15ae74501 completed Aug. 12, 2026, 5:32 a.m.
NEDg Description generation batch_6a7c064370308190b7e933e2baa825b6 completed Aug. 12, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a7c0691261081908ae67f8b018c2d7f completed Aug. 12, 2026, 5:37 a.m.
Created at: April 27, 2026, 12:48 p.m.