Triple

T2149965
Position Surface form Disambiguated ID Type / Status
Subject Ann Dunham E47156 entity
Predicate givenName P17 FINISHED
Object Stanley E44997 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: [Ann Dunham, givenName, Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley
Context triple: [Ann Dunham, givenName, Stanley]
  • A. Stanley
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • B. Stanley chosen
    Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe45dbf481909c0da056a1a99ece completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58dc0b608190b5c6aed5b6b034fd completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.