Triple

T5696646
Position Surface form Disambiguated ID Type / Status
Subject Mary Ure E125555 entity
Predicate name P16 FINISHED
Object Mary Ure E125555 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: Mary Ure | Statement: [Mary Ure, name, Mary Ure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Ure
Context triple: [Mary Ure, name, Mary Ure]
  • A. Mary Ure chosen
    Mary Ure was a Scottish stage and film actress best known for her acclaimed performances in works like "Look Back in Anger" and "Sons and Lovers."
  • B. Anne Browne
    Anne Browne was the mother of John Winthrop, the first governor of the Massachusetts Bay Colony and a key figure in early New England history.
  • C. Harriet Smithson
    Harriet Smithson was a 19th-century Irish actress best known as the muse and later wife of composer Hector Berlioz, who was inspired by her to write his Symphonie fantastique.
  • D. Mary Wilkes
    Mary Wilkes is the daughter of the 18th-century English radical politician and journalist John Wilkes.
  • E. Emily Davies
    Emily Davies was a pioneering British feminist and educational reformer who played a key role in opening university education to women in the 19th century.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5635448190ada625283405752f completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.