Triple

T17116671
Position Surface form Disambiguated ID Type / Status
Subject Alexey Grigoryevich Dolgorukov E415356 entity
Predicate givenName P17 FINISHED
Object Alexey E60595 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: Alexey | Statement: [Alexey Grigoryevich Dolgorukov, givenName, Alexey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexey
Context triple: [Alexey Grigoryevich Dolgorukov, givenName, Alexey]
  • A. Alexey chosen
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • B. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Alexei Aigui
    Alexei Aigui is a Russian composer and violinist known for his innovative film scores and contemporary classical music.
  • D. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Mikhail
    Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80660048190832d8f91415dd7d7 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c3be308190ab9972e79287218b completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:35 a.m.