Triple

T18673530
Position Surface form Disambiguated ID Type / Status
Subject Anna Abramovich E456540 entity
Predicate name P16 FINISHED
Object Anna 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: Anna Abramovich | Statement: [Anna Abramovich, name, Anna Abramovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Abramovich
Context triple: [Anna Abramovich, name, Anna Abramovich]
  • A. Anna Abramovich chosen
    Anna Abramovich is the daughter of Russian billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
  • B. Sofia Abramovich
    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.
  • C. Leah Abramovich
    Leah Abramovich is one of the daughters of Russian-Israeli billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
  • D. Lyudmila Putina
    Lyudmila Putina is the former First Lady of Russia and ex-wife of President Vladimir Putin, known for her low public profile and background as a linguist and translator.
  • E. Maria Vladimirovna Putina
    Maria Vladimirovna Putina is the eldest daughter of Russian president Vladimir Putin, known primarily for her low public profile and reported work in the medical and scientific fields.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b41cd881908f37bf7c85e96559 completed April 19, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:48 a.m.