Triple

T11796129
Position Surface form Disambiguated ID Type / Status
Subject Christine Hartmann E280510 entity
Predicate creator P184 FINISHED
Object Sebastian Faulks E7160 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: Sebastian Faulks | Statement: [Christine Hartmann, creator, Sebastian Faulks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Faulks
Context triple: [Christine Hartmann, creator, Sebastian Faulks]
  • A. Sebastian Faulks chosen
    Sebastian Faulks is a British novelist best known for his historical and war-themed fiction, including the acclaimed novel "Birdsong."
  • B. 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.
  • C. William Boyd
    William Boyd was an American actor best known for portraying the cowboy hero Hopalong Cassidy in numerous films and early television.
  • D. William Boyd
    William Boyd is a Scottish novelist and screenwriter acclaimed for his richly crafted literary fiction, including works such as "Any Human Heart" and "A Good Man in Africa."
  • E. Julian Barnes
    Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6717a5ca081908bdba9b944b76258 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:42 p.m.