Triple

T10920540
Position Surface form Disambiguated ID Type / Status
Subject Jack Duquesne E257933 entity
Predicate appearsAlongside P25756 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: [Jack Duquesne, appearsAlongside, Yelena Belova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yelena Belova
Context triple: [Jack Duquesne, appearsAlongside, 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. Elena Kurakina
    Elena Kurakina was a Russian noblewoman of the influential Kurakin family, connected by birth to the prominent Dolgorukov princely line.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77081a0c48190b7aa4a482032d1ea completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7e869748190991e06d9df50faa9 completed April 18, 2026, 6:05 p.m.
Created at: April 8, 2026, 9:22 p.m.