Triple

T9867621
Position Surface form Disambiguated ID Type / Status
Subject Vostok 4 E239873 entity
Predicate commander P1061 FINISHED
Object Pavel Popovich E759506 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: Pavel Popovich | Statement: [Vostok 4, commander, Pavel Popovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavel Popovich
Context triple: [Vostok 4, commander, Pavel Popovich]
  • A. Pavel Popovich chosen
    Pavel Popovich was a Soviet cosmonaut and one of the first group of spacefarers, known for piloting early crewed missions during the pioneering era of human spaceflight.
  • B. Markian Popov
    Markian Popov was a Soviet Army general and World War II front commander who played a significant role in major Eastern Front operations against Nazi Germany.
  • C. Vladimir Kolpakchi
    Vladimir Kolpakchi was a Soviet military commander and general best known for leading Red Army formations during World War II, including in the Battle of Stalingrad.
  • D. Pavel Kadochnikov
    Pavel Kadochnikov was a prominent Soviet film and theater actor known for his leading roles in classic Russian cinema of the mid-20th century.
  • E. Alexander Dvornikov
    Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eadd95ac81909a265db37b648df0 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:36 p.m.