Triple

T2351405
Position Surface form Disambiguated ID Type / Status
Subject Black Widow E47455 entity
Predicate featuresCharacter P626 FINISHED
Object Yelena Belova E48961 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: Yelena Belova | Statement: [Black Widow, featuresCharacter, Yelena Belova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yelena Belova
Context triple: [Black Widow, featuresCharacter, Yelena Belova]
  • A. Yelena Belova chosen
    Yelena Belova is a Marvel Comics-trained assassin and the second Black Widow, known in the Marvel Cinematic Universe as a sharp-witted spy and fighter closely tied to Natasha Romanoff.
  • B. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • C. Dominika Egorova
    Dominika Egorova is the fictional Russian ballerina-turned-spy protagonist of the espionage thriller "Red Sparrow."
  • D. Lara Antipova
    Lara Antipova is a central female character in Boris Pasternak's novel "Doctor Zhivago," known for her passionate, tragic love affair with the protagonist, Yuri Zhivago, set against the turmoil of the Russian Revolution.
  • E. Yelena
    Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae962f769881909a7713880eaa9b84 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.