Triple

T14746150
Position Surface form Disambiguated ID Type / Status
Subject Irina Godunova E346472 entity
Predicate house P1505 FINISHED
Object Godunov E260922 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: Godunov | Statement: [Irina Godunova, house, Godunov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godunov
Context triple: [Irina Godunova, house, Godunov]
  • A. Godunov chosen
    Godunov is a Russian surname most famously associated with Boris Godunov, the tsar who ruled Russia at the turn of the 17th century.
  • B. Matakevich
    Matakevich is a surname most notably borne by American football linebacker and special teams standout Tyler Matakevich.
  • C. Rykov
    Rykov is a Russian surname most notably associated with Alexei Rykov, a prominent early Soviet politician and premier.
  • D. Gus-Khrustalny
    Gus-Khrustalny is a town in western Russia known for its historic glass-making industry and status as a local industrial center.
  • E. Alexander Godunov
    Alexander Godunov was a Russian-American ballet dancer and actor best known in film for his memorable villainous role in the action classic "Die Hard."
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb982b5c8190a0340be2186f8b81 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.