Triple

T17981499
Position Surface form Disambiguated ID Type / Status
Subject Afanasy Fet E449611 entity
Predicate alternativeName P39 FINISHED
Object Afanasy Shenshin NE NERFINISHED

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: Afanasy Shenshin | Statement: [Afanasy Fet, alternativeName, Afanasy Shenshin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afanasy Shenshin
Context triple: [Afanasy Fet, alternativeName, Afanasy Shenshin]
  • A. 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.
  • B. Platon Karsavin
    Platon Karsavin was the father of the renowned Russian ballerina Tamara Karsavina.
  • C. Innokenty Smoktunovsky
    Innokenty Smoktunovsky was a renowned Soviet and Russian actor celebrated for his nuanced stage and film performances, including his iconic portrayal of Hamlet.
  • D. Afanasy Fet chosen
    Afanasy Fet was a 19th-century Russian lyric poet renowned for his musical, impressionistic verse and focus on nature and emotion.
  • E. Mikhail Semyonovich Unskovsky
    Mikhail Semyonovich Unskovsky, better known as Mischa Auer, was a Russian-born American character actor famed for his eccentric comedic roles in Hollywood films of the 1930s and 1940s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b20431588190a5fe2148a61de403 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.