Triple

T21901809
Position Surface form Disambiguated ID Type / Status
Subject Orlova E540827 entity
Predicate derivedFrom P909 FINISHED
Object Orlov NE NERFINISHED

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: Orlov | Statement: [Orlova, derivedFrom, Orlov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlov
Context triple: [Orlova, derivedFrom, Orlov]
  • A. Orlov chosen
    Orlov is a ruthless and manipulative Russian intelligence officer who serves as the primary antagonist in the action thriller film "Salt."
  • B. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • C. Surovikin
    Surovikin is a Russian army general known for his prominent command roles in the Syrian civil war and the 2022 invasion of Ukraine.
  • D. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • E. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d2d63c819090e115708aa4dbf8 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:21 p.m.