Triple

T1723985
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Bukharin E37455 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: [Nikolai Bukharin, patronymicName, Ivanovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivanovich
Context triple: [Nikolai Bukharin, 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. Ivan Igor
    Ivan Igor is the obsessive, disfigured sculptor and main antagonist in the horror film "Mystery of the Wax Museum."
  • C. 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.
  • D. Ivan Smirnov
    Ivan Smirnov was a prominent Old Bolshevik and Soviet revolutionary who became one of the key defendants in Stalin’s first major Moscow Show Trial, the Trial of the Sixteen.
  • E. Ivan
    Ivan is a common Slavic male given name widely used in Russia and other Eastern European countries, equivalent to "John" in English.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635a5c8c8190b3fbf977a93838fd completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ab3a140819081dbb7b19e33051c completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:30 p.m.