Triple

T6189739
Position Surface form Disambiguated ID Type / Status
Subject Paul Bettany as Dr. Stephen Maturin E138154 entity
Predicate basedOnAuthor P2806 FINISHED
Object Patrick O’Brian E138174 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: Patrick O’Brian | Statement: [Paul Bettany as Dr. Stephen Maturin, basedOnAuthor, Patrick O’Brian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick O’Brian
Context triple: [Paul Bettany as Dr. Stephen Maturin, basedOnAuthor, 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 Bayard
    Louis Bayard is an American novelist known for his historical mysteries and literary thrillers, including the novel that inspired "The Pale Blue Eye."
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621abad48190acb9ec019c065ed4 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243d333e48190b1cb9ffd769f5473 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:19 p.m.