Triple

T7283595
Position Surface form Disambiguated ID Type / Status
Subject Alexander Griboyedov E163810 entity
Predicate familyName P18 FINISHED
Object Griboyedov E163810 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: Griboyedov | Statement: [Alexander Griboyedov, familyName, Griboyedov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griboyedov
Context triple: [Alexander Griboyedov, familyName, Griboyedov]
  • A. Alexander Griboyedov chosen
    Alexander Griboyedov was a Russian diplomat, playwright, and composer best known for his satirical play "Woe from Wit."
  • B. Afanasy Fet
    Afanasy Fet was a 19th-century Russian lyric poet renowned for his musical, impressionistic verse and focus on nature and emotion.
  • C. Zhukovsky
    Zhukovsky is a town near Moscow, Russia, known as a major center of aviation research and industry.
  • D. Pyotr Chaadayev
    Pyotr Chaadayev was a 19th-century Russian philosopher and essayist whose critical reflections on Russia’s historical and cultural development sparked major intellectual and political debates in his time.
  • E. Gavriil Derzhavin
    Gavriil Derzhavin was a prominent 18th-century Russian poet and statesman, renowned for his innovative odes and for bridging classical and early Romantic trends in Russian literature.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb4ec2088190a6713eaa221d49a6 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e5368794819084e50bc87d8264de completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 2:59 p.m.