Triple

T23348761
Position Surface form Disambiguated ID Type / Status
Subject Ivanov E591944 entity
Predicate partOf P40 FINISHED
Object Anton Chekhov plays 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: Anton Chekhov plays | Statement: [Ivanov, partOf, Anton Chekhov plays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Chekhov plays
Context triple: [Ivanov, partOf, Anton Chekhov plays]
  • A. Anton Chekhov chosen
    Anton Chekhov was a Russian playwright and short-story writer renowned for his innovative, psychologically nuanced works that helped shape modern drama and prose.
  • B. Chekhov
    Chekhov is a town in Moscow Oblast, Russia, named after the writer Anton Chekhov and known for its historical and cultural significance.
  • C. Михаил Александрович Чехов
    Михаил Александрович Чехов был выдающимся русским актёром, режиссёром, театральным педагогом и теоретиком, создавшим влиятельную актёрскую технику, широко применяемую в мировом театре и кино.
  • D. Michael Chekhov
    Michael Chekhov was a Russian-American actor, director, and influential acting teacher whose innovative performance techniques have shaped modern acting theory and practice.
  • E. Rafail Ostrovsky
    Rafail Ostrovsky is a prominent computer scientist known for his influential contributions to cryptography, secure computation, and theoretical computer science.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.