Triple

T1708822
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Suslov E36931 entity
Predicate patronymicName P7966 FINISHED
Object Andreyevich E2779 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: Andreyevich | Statement: [Mikhail Suslov, patronymicName, Andreyevich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreyevich
Context triple: [Mikhail Suslov, patronymicName, Andreyevich]
  • A. Anatolyevich
    Anatolyevich is a Russian patronymic given name indicating that a person is the son of someone named Anatoly.
  • B. Alexandrovich
    Alexandrovich is the Russian patronymic indicating "son of Alexander," famously used in the full name of Tsar Nicholas II of Russia.
  • C. Andrei chosen
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • D. Vasily Vasiliev
    Vasily Vasiliev is a descendant of Soviet leader Joseph Stalin’s family line, being the son of Stalin’s son Vasily Stalin.
  • E. Konstantin Vershinin
    Konstantin Vershinin was a prominent Soviet military leader who served as a senior commander of the Soviet Air Forces during and after World War II.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ad849648190b2bb0e2a50cd6c75 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.