Triple

T1739545
Position Surface form Disambiguated ID Type / Status
Subject Yakov Sverdlov E38200 entity
Predicate givenName P17 FINISHED
Object Yakov E79564 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: Yakov | Statement: [Yakov Sverdlov, givenName, Yakov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakov
Context triple: [Yakov Sverdlov, givenName, Yakov]
  • A. Yakov chosen
    Yakov was the eldest son of Soviet leader Joseph Stalin, known for his troubled relationship with his father and his death as a prisoner of war during World War II.
  • B. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • C. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c4639c81908b91b2559f0c6a5c completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaca5f348190a8c1be9948d960e6 completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:30 p.m.