Triple

T7694011
Position Surface form Disambiguated ID Type / Status
Subject Dr. Igor E174323 entity
Predicate deceivesCharacter P7322 FINISHED
Object Veronika E174317 NE FINISHED

How this triple was built (3 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: Veronika | Statement: [Dr. Igor, deceivesCharacter, Veronika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veronika
Context triple: [Dr. Igor, deceivesCharacter, Veronika]
  • A. Veronika chosen
    Veronika is the troubled young protagonist of Paulo Coelho's novel "Veronika Decides to Die," whose suicide attempt leads her to a transformative stay in a mental institution.
  • B. Vera
    Vera is a memorable supporting character from the 1989 Eddie Murphy film "Harlem Nights," known for her tough, comedic persona.
  • C. Vera
    Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • D. Vera
    Vera is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures, meaning "faith."
  • E. Milena
    Milena is the birth name of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show" and "Black Swan."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deceivesCharacter
Context triple: [Dr. Igor, deceivesCharacter, Veronika]
  • A. tricked chosen
    Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
  • B. disguisedAs
    Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
  • C. questionedCharacter
    Indicates that one entity directed questions or an interrogation toward another entity.
  • D. allegedImpostor
    Indicates that one entity is claimed or suspected to be fraudulently posing as another entity.
  • E. hasEnigmaticCharacter
    Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
  • F. None of above.

Provenance (4 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c706d1f0208190bc5b695aa5736244 completed March 27, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6a339a48190936b962579d2d5a5 completed March 29, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69c70163dea88190ae729df50e63dfd7 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:02 p.m.