Triple

T12475164
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Gromov E298156 entity
Predicate nationality P2 FINISHED
Object Soviet E363 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 | Statement: [Mikhail Gromov, nationality, Soviet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet
Context triple: [Mikhail Gromov, nationality, Soviet]
  • A. Soviets
    Soviets were grassroots councils of workers, soldiers, and peasants that emerged as powerful political organs during the Russian Revolution and became a foundational element of the Soviet state.
  • B. Sovetsk
    Sovetsk is a town in Russia’s Kaliningrad Oblast, historically known as Tilsit and noted as the site where the 1807 Treaties of Tilsit were signed.
  • C. MO USSR
    MO USSR was the central government body responsible for directing and coordinating the armed forces of the Soviet Union.
  • D. Marshal Sovetskogo Soyuza
    Marshal Sovetskogo Soyuza was the highest military rank in the Soviet Union, equivalent to a five-star marshal and typically held by top commanders and defense ministers.
  • E. Soviet Union chosen
    The Soviet Union was a socialist superpower that dominated Eastern Europe and led the communist bloc during the Cold War.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcb194c81908b5e0320ddfd463c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f25462881908dccb831b474875d completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.