Triple

T335661
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Bakunin E6720 entity
Predicate givenName P17 FINISHED
Object Mikhail E36451 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: Mikhail | Statement: [Mikhail Bakunin, givenName, Mikhail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikhail
Context triple: [Mikhail Bakunin, givenName, Mikhail]
  • A. Mikhail chosen
    Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
  • B. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • D. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • E. Rodion Malinovsky
    Rodion Malinovsky was a prominent Soviet military commander and Marshal of the Soviet Union who played a key role in major Eastern Front operations during World War II and later served as the USSR’s Minister of Defense.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac81c0c8190b3cb0d53b1cf62b5 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52383450081908b945646a3e231c2 completed March 2, 2026, 5:43 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.