Triple

T3686427
Position Surface form Disambiguated ID Type / Status
Subject Duke of Westminster E78235 entity
Predicate subsidiaryTitle P1916 FINISHED
Object Earl Grosvenor E356261 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: Earl Grosvenor | Statement: [Duke of Westminster, subsidiaryTitle, Earl Grosvenor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earl Grosvenor
Context triple: [Duke of Westminster, subsidiaryTitle, Earl Grosvenor]
  • A. Earl Grosvenor chosen
    Earl Grosvenor is a historic British peerage title associated with the prominent aristocratic Grosvenor family, known for their vast landholdings and influence, particularly in London.
  • B. Earl Reser
    Earl Reser is an American businessman best known as the founder of Reser’s Fine Foods, a major producer of prepared salads and deli foods.
  • C. Earle Kingston
    Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
  • D. Earl Hurd
    Earl Hurd was an American animator, director, and writer best known as a pioneer of cel animation and an influential early figure in the development of animated films.
  • E. Cecil Upshaw
    Cecil Upshaw was an American Major League Baseball relief pitcher, best known for his years with the Atlanta Braves in the late 1960s and early 1970s.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeb6c288190a52e81fcbeaeec6d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.