Triple

T12533645
Position Surface form Disambiguated ID Type / Status
Subject Greer E299630 entity
Predicate hasNotableBearer P458 FINISHED
Object Sarah Greer E654620 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: Sarah Greer | Statement: [Greer, hasNotableBearer, Sarah Greer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Greer
Context triple: [Greer, hasNotableBearer, Sarah Greer]
  • A. Sarah Greer chosen
    Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
  • B. Emily Graham
    Emily Graham is the central protagonist of the novel "On the Street Where You Live," around whom the story’s suspenseful events and character developments revolve.
  • C. Sarah Eaves
    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.
  • D. Kate Healey
    Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
  • E. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af43f2188190b0e78f22dc6ba3f8 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:57 p.m.