Triple

T22923938
Position Surface form Disambiguated ID Type / Status
Subject Constantine E569243 entity
Predicate hasShortForm P43 FINISHED
Object Kostya 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: Kostya | Statement: [Constantine, hasShortForm, Kostya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kostya
Context triple: [Constantine, hasShortForm, Kostya]
  • A. Kostya chosen
    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.
  • B. 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.
  • C. Kolya
    Kolya is a common Russian diminutive form of the male given name Nikolay (Nicholas).
  • D. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Demyan
    Demyan is a masculine given name, commonly used in Slavic countries and derived from the Greek name Damian.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d7973c8190b09a5690fd1d3f28 completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.