Triple

T23437968
Position Surface form Disambiguated ID Type / Status
Subject Sasha Zhivago E563515 entity
Predicate childOf P120 FINISHED
Object Tonya Gromeko 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: Tonya Gromeko | Statement: [Sasha Zhivago, childOf, Tonya Gromeko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonya Gromeko
Context triple: [Sasha Zhivago, childOf, Tonya Gromeko]
  • A. Tonya Gromeko chosen
    Tonya Gromeko is a central character in Boris Pasternak's novel "Doctor Zhivago," known as Yuri Zhivago's loyal and loving wife from a well-to-do Moscow family.
  • B. Tonya Antonucci
    Tonya Antonucci is a sports executive best known for serving as the founding commissioner of Women's Professional Soccer in the United States.
  • C. Toni Gogin
    Toni Gogin is a musician best known for her early involvement with the American indie rock band Sleater-Kinney.
  • D. Greta Scarano
    Greta Scarano is an Italian actress known for her prominent roles in contemporary Italian cinema and television, including crime and drama series.
  • E. Gina Wendkos
    Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dda7448190b6c686e0db4f4f2f completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.