Triple

T10812484
Position Surface form Disambiguated ID Type / Status
Subject Kings Row E255136 entity
Predicate stars P1956 FINISHED
Object Maria Ouspenskaya E333711 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: Maria Ouspenskaya | Statement: [Kings Row, stars, Maria Ouspenskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Ouspenskaya
Context triple: [Kings Row, stars, Maria Ouspenskaya]
  • A. Maria Ouspenskaya chosen
    Maria Ouspenskaya was a Russian-born American character actress and acting teacher, renowned for her intense performances in Hollywood films of the 1930s and 1940s and for her distinctive accent and commanding presence.
  • B. Larisa Tarkovskaya
    Larisa Tarkovskaya was the wife of renowned Russian filmmaker Andrei Tarkovsky and a significant presence in his personal and creative life.
  • C. Nina Maksimovna Vysotskaya
    Nina Maksimovna Vysotskaya was the mother of the renowned Soviet singer, songwriter, and actor Vladimir Vysotsky.
  • D. Alla Nazimova
    Alla Nazimova was a pioneering Russian-American actress, producer, and screenwriter of the silent film era, renowned for her intense performances and avant-garde artistic collaborations in early Hollywood.
  • E. Gita Vygodskaya
    Gita Vygodskaya is the daughter of influential Soviet psychologist Lev Vygotsky and a scholar who helped preserve and promote his intellectual legacy.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eadda48190b2b1183ee60102cb completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0ea2b6481909dfd94fe0c3c4499 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.