Triple

T19896255
Position Surface form Disambiguated ID Type / Status
Subject Evgeny Lebedev E478159 entity
Predicate title P38 FINISHED
Object Baron Lebedev NE NERFINISHED

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: Baron Lebedev | Statement: [Evgeny Lebedev, title, Baron Lebedev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baron Lebedev
Context triple: [Evgeny Lebedev, title, Baron Lebedev]
  • A. Baron Lebedev chosen
    Baron Lebedev is the British life peerage held by Evgeny Lebedev, a Russian-British media proprietor and member of the House of Lords.
  • B. Pavel Fyodorovich Batitsky
    Pavel Fyodorovich Batitsky was a Soviet military commander who rose to the rank of Marshal of the Soviet Union and served as Commander-in-Chief of the Soviet Air Defense Forces.
  • C. Vladimir Romanovsky-Krasinsky
    Vladimir Romanovsky-Krasinsky was a lesser-known member of the extended Russian imperial family, descended from Grand Duke Andrei Vladimirovich of Russia.
  • D. Alexei Lopukhin
    Alexei Lopukhin was a Russian official best known for directing the Tsarist secret police (Okhrana) in the early 20th century and later opposing some of its more repressive methods.
  • E. Alexander Knyazhinsky
    Alexander Knyazhinsky was a Soviet cinematographer best known for his visually striking work on Andrei Tarkovsky’s film "Stalker."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593dba78819082c8b80e65246171 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.