Triple

T12819442
Position Surface form Disambiguated ID Type / Status
Subject Ivanova E306489 entity
Predicate genderFormOf P17779 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: [Ivanova, genderFormOf, Ivanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivanov
Context triple: [Ivanova, genderFormOf, 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9e5a2481908921d097df541db8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b97ffd481909c540f52c781f63f completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.