Triple

T16816167
Position Surface form Disambiguated ID Type / Status
Subject Matvei Bronstein E408754 entity
Predicate givenName P17 FINISHED
Object Matvei E787763 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: Matvei | Statement: [Matvei Bronstein, givenName, Matvei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matvei
Context triple: [Matvei Bronstein, givenName, Matvei]
  • A. Matvey chosen
    Matvey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to the name Matthew.
  • B. Yakov
    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.
  • C. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • D. Yefim
    Yefim is a masculine given name of Hebrew origin, commonly used in Russian-speaking countries.
  • E. Yefimovich
    Yefimovich is the Russian patronymic derived from the male given name Yefim, famously borne by Grigori Rasputin as part of his full name.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e1de908190aa3508770fb865cf completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0f863081908e74dc4a7c91e91d completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.