Triple

T21212542
Position Surface form Disambiguated ID Type / Status
Subject Ivan Bunin E522755 entity
Predicate familyName P18 FINISHED
Object Bunin 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: Bunin | Statement: [Ivan Bunin, familyName, Bunin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunin
Context triple: [Ivan Bunin, familyName, Bunin]
  • A. Chantun Turgovia
    Chantun Turgovia is the Romansh name for the Swiss canton of Thurgau, located in northeastern Switzerland along the southern shore of Lake Constance.
  • B. Osip Bove
    Osip Bove was a prominent 19th-century Russian architect best known for helping redesign and rebuild central Moscow after the Fire of 1812, including significant work on the Kremlin and surrounding areas.
  • C. Blexen
    Blexen is a locality in northern Germany, historically notable as the place where the missionary bishop Saint Willehad died.
  • D. Ivan Bunin chosen
    Ivan Bunin was a Russian writer and poet, renowned for his masterful prose and as the first Russian recipient of the Nobel Prize in Literature.
  • E. Junichiro Tanizaki
    Junichiro Tanizaki was a major 20th-century Japanese novelist known for exploring themes of eroticism, obsession, and the clash between traditional Japanese and modern Western values in works such as "Naomi" and "The Makioka Sisters."
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7346f762c8190a9f57d9e00d94d28 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:38 p.m.