Triple

T22678126
Position Surface form Disambiguated ID Type / Status
Subject Mrs Eaves E560402 entity
Predicate namedAfter P63 FINISHED
Object Sarah Eaves NE NERFINISHED

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: Sarah Eaves | Statement: [Mrs Eaves, namedAfter, Sarah Eaves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Eaves
Context triple: [Mrs Eaves, namedAfter, Sarah Eaves]
  • A. Sarah Eaves chosen
    Sarah Eaves was the partner and later wife of the renowned English printer and typographer John Baskerville, closely involved in his household and business affairs.
  • B. Sarah Hildreth
    Sarah Hildreth was a 19th-century American stage actress who became known as the wife and political partner of U.S. senator and Civil War general Benjamin F. Butler.
  • C. Sarah Greer
    Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
  • D. Darien Sills-Evans
    Darien Sills-Evans is an American actor, writer, and director known for his work in television comedies and independent films.
  • E. Sarah Climenhaga
    Sarah Climenhaga is a Toronto-based activist and community advocate who ran as a candidate in the city’s 2018 mayoral election, focusing on issues like civic engagement, sustainability, and safer streets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785d93e48190b37d11642b0cb123 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.