Triple

T977172
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Gray (film) E21079 entity
Predicate authorOfSourceWork P2353 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: [Charlotte Gray (film), authorOfSourceWork, Sebastian Faulks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Faulks
Context triple: [Charlotte Gray (film), authorOfSourceWork, 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. Julian Barnes
    Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
  • C. C.J. Sansom
    C.J. Sansom was a British historical crime novelist best known for his bestselling Shardlake series set in Tudor England.
  • D. Hilary Mantel
    Hilary Mantel was an acclaimed English novelist best known for her historical fiction, particularly the "Wolf Hall" trilogy about Thomas Cromwell.
  • E. Ian McEwan
    Ian McEwan is a renowned British novelist and screenwriter known for his psychologically intricate, morally complex fiction, including works such as "Atonement" and "Amsterdam."
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cdbd22c819084346de7e729c8a1 completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:40 p.m.