Triple

T6034952
Position Surface form Disambiguated ID Type / Status
Subject Woodes Rogers E134393 entity
Predicate spouse P13 FINISHED
Object Sarah Whetstone E134393 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 Whetstone | Statement: [Woodes Rogers, spouse, Sarah Whetstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Whetstone
Context triple: [Woodes Rogers, spouse, Sarah Whetstone]
  • A. Sarah Whetstone chosen
    Sarah Whetstone was the wife of English privateer and colonial governor Woodes Rogers, known primarily through her marriage into his prominent seafaring and political life.
  • B. Elizabeth Tyree
    Elizabeth Tyree was an American stage actress and philanthropist known for her leadership in organizing theatrical community support efforts during World War I.
  • C. Elisabeth Risdon
    Elisabeth Risdon was a British-born character actress of stage and screen, active in early 20th-century theatre and Hollywood films.
  • D. Sarah Rolfe
    Sarah Rolfe was the wife of scientist and inventor Benjamin Thompson, later known as Count Rumford, and a member of a prominent New England family in the late 18th century.
  • E. Willa Weston
    Willa Weston is a driven and ambitious executive character in the comedy film "Fierce Creatures," known for her sharp wit and corporate savvy.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b33a7c8190ad6282286199b192 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ea1595c8190926a5ed8d230ab4a completed March 23, 2026, 4:47 p.m.
Created at: March 22, 2026, 4:08 p.m.