Triple

T10402955
Position Surface form Disambiguated ID Type / Status
Subject Joseph Kobzon E245191 entity
Predicate nickname P55 FINISHED
Object Soviet Sinatra E245191 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: Soviet Sinatra | Statement: [Joseph Kobzon, nickname, Soviet Sinatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet Sinatra
Context triple: [Joseph Kobzon, nickname, Soviet Sinatra]
  • A. Joseph Kobzon chosen
    Joseph Kobzon was a renowned Soviet and Russian baritone singer and politician, often called the "Soviet Sinatra" for his iconic status in popular music.
  • B. Gus-Khrustalny
    Gus-Khrustalny is a town in western Russia known for its historic glass-making industry and status as a local industrial center.
  • C. Vladimir Vysotsky
    Vladimir Vysotsky was a Soviet singer-songwriter, poet, and actor renowned for his gritty, socially charged songs and iconic status in Russian culture.
  • D. Shchors
    Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
  • E. Boris Orlovsky
    Boris Orlovsky was a 19th-century Russian sculptor best known for creating prominent monumental works in Saint Petersburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e535d48190b8fc377df543e058 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbdb86788190bb1a8802f713fea2 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:08 p.m.