Triple

T7888169
Position Surface form Disambiguated ID Type / Status
Subject Rosa Taikon E183155 entity
Predicate hasRelative P367 FINISHED
Object Katarina Taikon E701279 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: Katarina Taikon | Statement: [Rosa Taikon, hasRelative, Katarina Taikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katarina Taikon
Context triple: [Rosa Taikon, hasRelative, Katarina Taikon]
  • A. Katarina Taikon chosen
    Katarina Taikon was a prominent Swedish Romani activist and author, best known for her influential autobiographical "Katitzi" book series that highlighted Roma rights and experiences.
  • B. Katarina
    Katarina is a feminine given name, commonly used in various European cultures, that is a variant of the name Catherine.
  • C. Maria Lilina
    Maria Lilina was a prominent Russian stage actress of the Moscow Art Theatre and the wife and close artistic collaborator of theatre director Konstantin Stanislavski.
  • D. Leona
    Leona is a feminine given name used in various cultures, often derived from the Latin word for "lion."
  • E. Tristana
    Tristana is a 1970 Spanish drama film directed by Luis Buñuel, known for its exploration of power, morality, and desire through the story of a young woman and her older guardian.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ea8d1c81908ef99569e0cf00b7 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfb5d7e08190a04dc9d3dc35a0e6 completed March 31, 2026, 2:52 p.m.
Created at: March 30, 2026, 4:59 p.m.