Triple

T2968523
Position Surface form Disambiguated ID Type / Status
Subject Alexander Herzen E80224 entity
Predicate patronymicName P7966 FINISHED
Object Ivanovich 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: Ivanovich | Statement: [Alexander Herzen, patronymicName, Ivanovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivanovich
Context triple: [Alexander Herzen, patronymicName, Ivanovich]
  • A. Ivanovich chosen
    Ivanovich is a common Russian patronymic meaning “son of Ivan,” frequently used as a middle name in Russian full names.
  • B. Ivanova
    Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
  • C. Ivan Igor
    Ivan Igor is the obsessive, disfigured sculptor and main antagonist in the horror film "Mystery of the Wax Museum."
  • D. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • E. Ivan Petrov
    Ivan Petrov was a Soviet military commander and general who played a significant role in Red Army operations during World War II.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9970e2c08190affa5efedb9aad75 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fca2e5048190a3659de827ee7da9 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:58 p.m.