Triple

T9392178
Position Surface form Disambiguated ID Type / Status
Subject William Boyd E226050 entity
Predicate name P16 FINISHED
Object William Boyd E226050 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: William Boyd | Statement: [William Boyd, name, William Boyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Boyd
Context triple: [William Boyd, name, William Boyd]
  • A. William Boyd chosen
    William Boyd was an American actor best known for portraying the cowboy hero Hopalong Cassidy in numerous films and early television.
  • 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. David Urquhart
    David Urquhart was a 19th-century Scottish diplomat, writer, and politician known for his advocacy of Turkish interests and his strong opposition to Russian expansion.
  • D. Sebastian Faulks
    Sebastian Faulks is a British novelist best known for his historical and war-themed fiction, including the acclaimed novel "Birdsong."
  • E. Ian Byatt
    Ian Byatt is a British economist and former water industry regulator, best known for serving as the first Director General of Ofwat, the economic regulator of the water industry in England and Wales.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510eae0c8190b7c4ab487a366bb3 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1010169d88190a7267615a9196d4b completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.