Triple

T23101607
Position Surface form Disambiguated ID Type / Status
Subject Richard Patrick Russ E576043 entity
Predicate pseudonym P39 FINISHED
Object Patrick O'Brian 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: Patrick O'Brian | Statement: [Richard Patrick Russ, pseudonym, Patrick O'Brian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick O'Brian
Context triple: [Richard Patrick Russ, pseudonym, Patrick O'Brian]
  • A. Patrick O'Brian chosen
    Patrick O'Brian was a British novelist best known for his Aubrey–Maturin series of historical naval novels set during the Napoleonic Wars.
  • B. Patrick O’Brien
    Patrick O’Brien is a film producer best known for his work on the 2014 action movie adaptation of the "Need for Speed" video game series.
  • C. C. S. Forester
    C. S. Forester was a British novelist best known for his historical naval adventures, particularly the Horatio Hornblower series.
  • D. James Clavell
    James Clavell was an Australian-born British author, screenwriter, and director best known for his epic Asian Saga novels such as "Shōgun" and "Tai-Pan."
  • E. Louis de Bernières
    Louis de Bernières is a British novelist best known for works such as "Captain Corelli’s Mandolin" and the novella "Red Dog," which inspired the film of the same name.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de9fa8c81909fd26ff37173b85b completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.