Triple

T702587
Position Surface form Disambiguated ID Type / Status
Subject RKKA E14029 entity
Predicate notableCommander P1197 FINISHED
Object Semyon Timoshenko E31854 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: Semyon Timoshenko | Statement: [RKKA, notableCommander, Semyon Timoshenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semyon Timoshenko
Context triple: [RKKA, notableCommander, Semyon Timoshenko]
  • A. Semyon Timoshenko chosen
    Semyon Timoshenko was a prominent Soviet military commander and Marshal of the Soviet Union who played key roles in early World War II operations and in reforming the Red Army.
  • B. Vladimir Kurdyumov
    Vladimir Kurdyumov was a Soviet military commander best known for leading Red Army forces during the Winter War’s Battle of Kollaa against Finland.
  • C. Aleksandr Khinchin
    Aleksandr Khinchin was a prominent Russian mathematician known for his foundational contributions to probability theory, number theory, and information theory.
  • D. Sergei Kapitsa
    Sergei Kapitsa was a Russian physicist and demographer best known for popularizing science on Soviet television and for his work on population dynamics.
  • E. Igor Vladimirovich Girsanov
    Igor Vladimirovich Girsanov was a Soviet mathematician best known for his fundamental contributions to probability theory and stochastic processes.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a532dd708190ab91e515a07b441e completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927e57d48190a9e1f34c39501680 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:36 p.m.