Triple

T4592595
Position Surface form Disambiguated ID Type / Status
Subject Ivanovich E103529 entity
Predicate writtenForm P2203 FINISHED
Object Иванович E103529 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: Иванович | Statement: [Ivanovich, writtenForm, Иванович]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Иванович
Context triple: [Ivanovich, writtenForm, Иванович]
  • A. Ivanovich chosen
    Ivanovich is a common Russian patronymic meaning “son of Ivan,” frequently used as a middle name in Russian full names.
  • 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. Ivan Ivanovich
    Ivan Ivanovich was the eldest son and heir apparent of Tsar Ivan IV (Ivan the Terrible) of Russia, whose death—traditionally believed to have been caused by his father—had major consequences for the Russian succession.
  • D. Ivan Igor
    Ivan Igor is the obsessive, disfigured sculptor and main antagonist in the horror film "Mystery of the Wax Museum."
  • E. Peter Ivanovich
    Peter Ivanovich is a colleague and superficial friend of Ivan Ilyich in Leo Tolstoy’s novella "The Death of Ivan Ilyich," representing the shallow, self-interested attitudes of society toward death and suffering.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd592520ec8190b1bd4cb4d9b94c94 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa3f792881908f7d0bc1f09d517e completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.