Triple

T8692252
Position Surface form Disambiguated ID Type / Status
Subject Gina McKee E206318 entity
Predicate notableWork P4 FINISHED
Object Ivanov E591944 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: Ivanov | Statement: [Gina McKee, notableWork, Ivanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivanov
Context triple: [Gina McKee, notableWork, Ivanov]
  • A. Ivanov chosen
    Ivanov is an early play by Russian dramatist Anton Chekhov that portrays the moral and emotional decline of a disillusioned landowner in provincial society.
  • B. Ivan Petrov
    Ivan Petrov was a Soviet military commander and general who played a significant role in Red Army operations during World War II.
  • C. Andrey Ivanovich Ivanov
    Andrey Ivanovich Ivanov was a Russian painter of the early 19th century, known for his historical and religious compositions and as the father and teacher of the renowned artist Alexander Andreyevich Ivanov.
  • D. Ivanovich
    Ivanovich is a common Russian patronymic meaning “son of Ivan,” frequently used as a middle name in Russian full names.
  • E. Iván Petrovich
    Iván Petrovich was a Serbian-born film actor prominent in European and early Hollywood cinema during the silent and early sound eras.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5825385081908dee42cba8e98392 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3ea2ba08190b8046e703ba7d2d8 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.