Triple

T13651486
Position Surface form Disambiguated ID Type / Status
Subject Serge E326747 entity
Predicate hasCognate P2525 FINISHED
Object Sergueï E64229 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: Sergueï | Statement: [Serge, hasCognate, Sergueï]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergueï
Context triple: [Serge, hasCognate, Sergueï]
  • A. Sergei chosen
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • C. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Grigory Semyonov
    Grigory Semyonov was a Russian Cossack military leader and prominent anti-Bolshevik figure who commanded White forces in Siberia and the Russian Far East during the Russian Civil War.
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc609676c8190b5b1cabe6b315142 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb05bb481909a0ad528e998fdf1 completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 9:52 p.m.