Triple

T8580460
Position Surface form Disambiguated ID Type / Status
Subject Fred F. Fielding E203160 entity
Predicate familyName P18 FINISHED
Object Fielding E244248 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: Fielding | Statement: [Fred F. Fielding, familyName, Fielding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fielding
Context triple: [Fred F. Fielding, familyName, Fielding]
  • A. Fielding chosen
    Fielding is an English surname most famously associated with novelist Helen Fielding, creator of the Bridget Jones series.
  • B. Henry Fielding Field
    Henry Fielding Field was a British colonial administrator who served as Chief Justice of Fiji and Chief Judicial Commissioner for the Western Pacific in the early 20th century.
  • C. Thackeray
    Thackeray is a notable English surname most famously associated with the Victorian novelist William Makepeace Thackeray and his family.
  • D. Henry Fielding
    Henry Fielding was an 18th-century English novelist and dramatist best known for his satirical works such as "Tom Jones," which helped shape the development of the modern novel.
  • E. Saki
    Saki is the pen name of British writer H. H. Munro, best known for his witty, darkly humorous short stories satirizing Edwardian society.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1a026c819089183f542eeb7837 completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89ae87f08190b83bc539e1d4eeaa completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.