Triple

T10109656
Position Surface form Disambiguated ID Type / Status
Subject Александр Невский E218207 entity
Predicate givenName P17 FINISHED
Object Александр E214186 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: Александр | Statement: [Александр Невский, givenName, Александр]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Александр
Context triple: [Александр Невский, givenName, Александр]
  • A. Aleksandr chosen
    Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
  • B. Alexander Alexandrov
    Alexander Alexandrov was a Soviet composer and choir director best known for creating the melody that became the State Anthem of the Soviet Union and later the national anthem of Russia.
  • C. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • D. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Alexei Ivanovich
    Alexei Ivanovich is the impulsive, obsessive young tutor whose descent into gambling addiction drives the plot of Fyodor Dostoevsky’s novella "The Gambler."
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cdb3c88190a74f75bf865664f3 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc1805d08190bc39aadf1e84a569 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.