Triple

T18261729
Position Surface form Disambiguated ID Type / Status
Subject Center Stage E437372 entity
Predicate character P662 FINISHED
Object Sergei NE NERFINISHED

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: Sergei | Statement: [Center Stage, character, Sergei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergei
Context triple: [Center Stage, character, Sergei]
  • A. Sergei chosen
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. 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.
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff76a1208190abbe6ab8720ed154 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.