Triple

T9212045
Position Surface form Disambiguated ID Type / Status
Subject Arkady Rosengolts E221145 entity
Predicate givenName P17 FINISHED
Object Arkady E739705 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: Arkady | Statement: [Arkady Rosengolts, givenName, Arkady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arkady
Context triple: [Arkady Rosengolts, givenName, Arkady]
  • A. Konstantin Vershinin
    Konstantin Vershinin was a prominent Soviet military leader who served as a senior commander of the Soviet Air Forces during and after World War II.
  • B. Arkadi chosen
    Arkadi is a masculine given name of Armenian and Slavic origin, commonly used in Eastern Europe and the Caucasus.
  • C. Alyosha Skvortsov
    Alyosha Skvortsov is the young, idealistic Soviet soldier who serves as the central protagonist in the classic 1959 war film "Ballad of a Soldier."
  • D. Rodion
    Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
  • E. Arkadyevich
    Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b69838819088f33ca995fce222 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1820133348190a25ba1ab3fc7359d completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:27 p.m.