Triple

T13605937
Position Surface form Disambiguated ID Type / Status
Subject Sergiy E325060 entity
Predicate isOftenRomanizedFrom P2508 FINISHED
Object Сергей E64229 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: Сергей | Statement: [Sergiy, isOftenRomanizedFrom, Сергей]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Сергей
Context triple: [Sergiy, isOftenRomanizedFrom, Сергей]
  • A. Sergei chosen
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. Юрий
    Юрий is a common Russian male given name, often rendered in English as Yuri and borne by numerous notable figures in Russian and Soviet history and culture.
  • C. Ivan Sergei
    Ivan Sergei is an American actor known for his work in film and television, including prominent roles in late-1990s and early-2000s romantic comedies and dramas.
  • D. Sergeevich
    Sergeevich is a Russian patronymic given name indicating descent from a father named Sergei.
  • E. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfae6bc8190ac6851a3fa2dfb12 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 9:50 p.m.