Triple

T13338673
Position Surface form Disambiguated ID Type / Status
Subject The House on Telegraph Hill E317763 entity
Predicate notableCharacter P1481 FINISHED
Object Karin Dernakova E891467 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: Karin Dernakova | Statement: [The House on Telegraph Hill, notableCharacter, Karin Dernakova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karin Dernakova
Context triple: [The House on Telegraph Hill, notableCharacter, Karin Dernakova]
  • A. Vera Kresadlová
    Vera Kresadlová is a Czech actress known for her roles in 1960s Czechoslovak cinema and for her marriage to acclaimed film director Miloš Forman.
  • B. Olga Baclanova chosen
    Olga Baclanova was a Russian-born actress known for her vamp and villainess roles in late silent and early sound films, including the cult classic "Freaks."
  • C. Tania Kosevich
    Tania Kosevich is best known as the wife of British comedian, actor, and Monty Python member Eric Idle.
  • D. Renata Kallosh
    Renata Kallosh is a theoretical physicist known for her influential work in supergravity, string theory, and cosmology.
  • E. Hanna Turchynova
    Hanna Turchynova is a Ukrainian academic and public figure, best known as the wife of former acting President of Ukraine Oleksandr Turchynov.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7267132488190a62930e98be70640 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.