Triple

T5374328
Position Surface form Disambiguated ID Type / Status
Subject Stanleys of Bickerstaffe E108923 entity
Predicate hasSurname P18 FINISHED
Object Stanley E41872 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: Stanley | Statement: [Stanleys of Bickerstaffe, hasSurname, Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley
Context triple: [Stanleys of Bickerstaffe, hasSurname, Stanley]
  • A. Stanley
    Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • B. Stanley chosen
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • C. Stanley
    Stanley is the small, windswept port town that serves as the political and economic center of the Falkland Islands in the South Atlantic Ocean.
  • D. Stanley
    Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
  • E. Stanley
    Stanley is a masculine given name of Old English origin that has been borne by numerous notable figures, including British statesman Stanley Baldwin.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86ad820081908763765dcbc99cbf completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334fb498819089a33be56fa47a01 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:03 p.m.