Triple

T22652303
Position Surface form Disambiguated ID Type / Status
Subject Dyadya Vanya E559124 entity
Predicate hasCharacter P2308 FINISHED
Object Dr. Astrov 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: Dr. Astrov | Statement: [Dyadya Vanya, hasCharacter, Dr. Astrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Astrov
Context triple: [Dyadya Vanya, hasCharacter, Dr. Astrov]
  • A. Dr. Astrov chosen
    Dr. Astrov is a disillusioned country doctor and environmental idealist in Anton Chekhov’s play "Uncle Vanya," known for his philosophical reflections and concern over the destruction of the natural world.
  • B. Doctor Pomeranus
    Doctor Pomeranus is the nickname of Johann Bugenhagen, a key Lutheran reformer and pastor who helped organize the Protestant church in northern Germany and Scandinavia.
  • C. Dr. Scarabus
    Dr. Scarabus is the powerful and sinister sorcerer antagonist in the 1963 horror-comedy film "The Raven."
  • D. Dr. Litvenko
    Dr. Litvenko is a key scientist in the Hitman: Agent 47 film, known for creating the genetically engineered assassin program that produced Agent 47.
  • E. Dr. Skreta
    Dr. Skreta is a fictional doctor in Milan Kundera’s novel "Farewell Waltz," known for his morally ambiguous medical practices and satirical portrayal of authority.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703d7d648190aafe275cd04c47cf completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:06 p.m.