Triple

T9549463
Position Surface form Disambiguated ID Type / Status
Subject Dziga Vertov E230380 entity
Predicate spouse P13 FINISHED
Object Elizaveta Svilova E822585 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: Elizaveta Svilova | Statement: [Dziga Vertov, spouse, Elizaveta Svilova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizaveta Svilova
Context triple: [Dziga Vertov, spouse, Elizaveta Svilova]
  • A. Elizaveta Svilova chosen
    Elizaveta Svilova was a pioneering Soviet film editor and documentarian best known for her innovative montage work in early avant-garde cinema.
  • B. Svetlana Vasilyeva
    Svetlana Vasilyeva is known primarily as the daughter of Vasily Stalin, making her a granddaughter of Soviet leader Joseph Stalin.
  • C. Sofia Vassilieva
    Sofia Vassilieva is an American actress best known for her roles in the TV series "Medium" and the film "My Sister's Keeper."
  • D. Elena Milashina
    Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
  • E. Svetlana Druzhinina
    Svetlana Druzhinina is a Soviet and Russian actress and film director known for her early acting roles in classic Soviet cinema and later for directing popular historical television series.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9906bc90819086f105c453e63c83 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
Created at: March 30, 2026, 8:02 p.m.