Triple

T15897056
Position Surface form Disambiguated ID Type / Status
Subject Fielden E385483 entity
Predicate hasVariant P455 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: [Fielden, hasVariant, Fielding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fielding
Context triple: [Fielden, hasVariant, Fielding]
  • A. Fielding chosen
    Fielding is an English surname most famously associated with novelist Helen Fielding, creator of the Bridget Jones series.
  • B. David Fielding
    David Fielding is an American actor and writer best known for portraying the character Zordon in the television series "Mighty Morphin Power Rangers."
  • C. 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.
  • D. Bünyan
    Bünyan is a town and district in central Turkey known for its traditional weaving and historical architecture within Kayseri Province.
  • E. Thackeray
    Thackeray is a notable English surname most famously associated with the Victorian novelist William Makepeace Thackeray and his family.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15639c9748190b1115f74cbd61330 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.