Triple

T23535888
Position Surface form Disambiguated ID Type / Status
Subject The Search (2014 film) E576697 entity
Predicate mainCharacter P1183 FINISHED
Object Kolya 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: Kolya | Statement: [The Search (2014 film), mainCharacter, Kolya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolya
Context triple: [The Search (2014 film), mainCharacter, Kolya]
  • A. Kolya
    Kolya is a charismatic, roguish young Russian soldier in David Benioff’s novel "City of Thieves," known for his wit, bravado, and unlikely friendship with the protagonist during the Siege of Leningrad.
  • B. Kolya chosen
    Kolya is a common Russian diminutive form of the male given name Nikolay (Nicholas).
  • C. Kostya
    Kostya is the fictional young actor and central figure in Konstantin Stanislavski’s seminal work "An Actor Prepares," through whom the author illustrates his influential system of acting.
  • D. Matvey
    Matvey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to the name Matthew.
  • E. Olyusha
    Olyusha is a Russian diminutive form of the female given name Olga, typically used as an affectionate nickname.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1738bc81909a7b761ddbaa1883 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.