Triple

T13716658
Position Surface form Disambiguated ID Type / Status
Subject Two Women E328918 entity
Predicate basedOnAuthor P2806 FINISHED
Object Ivan Turgenev E316807 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: Ivan Turgenev | Statement: [Two Women, basedOnAuthor, Ivan Turgenev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivan Turgenev
Context triple: [Two Women, basedOnAuthor, Ivan Turgenev]
  • A. Ivan Turgenev chosen
    Ivan Turgenev was a 19th-century Russian novelist, short-story writer, and playwright renowned for works such as "Fathers and Sons" that explored social change and intellectual life in Russia.
  • B. Nikolai Goncharov
    Nikolai Goncharov is a lesser-known relative of the Russian avant-garde artist Natalia Goncharova, noted primarily in biographical references to her family.
  • C. Vsevolod Garshin
    Vsevolod Garshin was a 19th-century Russian writer known for his psychologically intense short stories and his influence on later Russian literature.
  • D. Ivan Yefimovich Petrov
    Ivan Yefimovich Petrov was a Soviet military commander and general noted for his leadership of Red Army forces on the Eastern Front during World War II.
  • E. Nikolai Ostrovsky
    Nikolai Ostrovsky was a Soviet writer best known for his socialist realist novel "How the Steel Was Tempered," which became a classic of communist 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.