Triple

T18812254
Position Surface form Disambiguated ID Type / Status
Subject Irina Malandina E460044 entity
Predicate hasChild P369 FINISHED
Object Sofia Abramovich 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: Sofia Abramovich | Statement: [Irina Malandina, hasChild, Sofia Abramovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Abramovich
Context triple: [Irina Malandina, hasChild, Sofia Abramovich]
  • A. Sofia Abramovich chosen
    Sofia Abramovich is a British-based equestrian and socialite best known as one of the daughters of Russian billionaire and former Chelsea FC owner Roman Abramovich.
  • B. Arina Abramovich
    Arina Abramovich is one of the daughters of Russian billionaire and former Chelsea F.C. owner Roman Abramovich.
  • C. Leah Abramovich
    Leah Abramovich is one of the daughters of Russian-Israeli billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
  • D. Tatiana Groshkova
    Tatiana Groshkova is a former Soviet artistic gymnast known for her powerful tumbling and contributions to the dominant Soviet women’s gymnastics program in the late 1980s.
  • E. Tatiana Kuzminskaya
    Tatiana Kuzminskaya was a Russian noblewoman best known as the sister-in-law of writer Leo Tolstoy and a member of the extended Tolstoy family circle.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dcc7d88190801d9c9202e0e411 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.