Triple

T21536617
Position Surface form Disambiguated ID Type / Status
Subject The Rotters' Club E531365 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Jonathan Coe 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: Jonathan Coe | Statement: [The Rotters' Club, authorOfSourceWork, Jonathan Coe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Coe
Context triple: [The Rotters' Club, authorOfSourceWork, Jonathan Coe]
  • A. Jonathan Coe chosen
    Jonathan Coe is a British novelist and satirist best known for works such as "What a Carve Up!" and "The Rotters' Club," which often blend political commentary with dark humor.
  • B. Martin Sixsmith
    Martin Sixsmith is a British journalist, author, and former BBC correspondent known for his investigative writing, including the book that inspired the film "Philomena."
  • C. David Lodge
    David Lodge was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • D. Julian Barnes
    Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
  • E. Graham Swift
    Graham Swift is a British novelist known for his psychologically rich, intricately structured works such as "Waterland" and "Last Orders," which explore memory, history, and personal identity.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0e5a9c8190894ec3666d3296aa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.