Triple

T7532758
Position Surface form Disambiguated ID Type / Status
Subject Pyotr Kapitsa E178066 entity
Predicate spouse P13 FINISHED
Object Anna Krylova E178066 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: Anna Krylova | Statement: [Pyotr Kapitsa, spouse, Anna Krylova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Krylova
Context triple: [Pyotr Kapitsa, spouse, Anna Krylova]
  • A. Anna Krylova chosen
    Anna Krylova was the wife of Nobel Prize–winning Soviet physicist Peter Kapitza.
  • B. Nina Kryuchkova
    Nina Kryuchkova was the wife of Vladimir Kryuchkov, the longtime KGB chief and key figure in late Soviet politics.
  • C. Anna Koltovskaya
    Anna Koltovskaya was a Russian noblewoman best known as one of the later wives of Tsar Ivan IV (Ivan the Terrible) of Russia.
  • D. Katerina Tikhonova
    Katerina Tikhonova is a Russian academic and business executive widely reported to be one of Vladimir Putin’s daughters, known for her roles in scientific institutions and high-tech investment projects.
  • E. Tatiana Nikolayeva
    Tatiana Nikolayeva was a renowned Soviet-Russian pianist and composer, celebrated especially for her interpretations of J.S. Bach’s keyboard works.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84753fc81908bee2013004ef5fb completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b369c88190b8a9a196e2166f9f completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:47 p.m.