Triple

T20665474
Position Surface form Disambiguated ID Type / Status
Subject Lucy Boynton E507872 entity
Predicate sibling P363 FINISHED
Object Emma Louise Boynton 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: Emma Louise Boynton | Statement: [Lucy Boynton, sibling, Emma Louise Boynton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Louise Boynton
Context triple: [Lucy Boynton, sibling, Emma Louise Boynton]
  • A. Emma Louise Boynton chosen
    Emma Louise Boynton is the sister of actress Lucy Boynton and a member of the Boynton family connected to the entertainment industry.
  • B. Mary Fawcett
    Mary Fawcett was the mother of British academic and politician Henry Fawcett, a noted 19th-century economist and Postmaster General.
  • C. Louise Boyd
    Louise Boyd was an American Arctic explorer, photographer, and philanthropist known for leading several expeditions to Greenland in the early 20th century.
  • D. Joan Tompkins
    Joan Tompkins was an American character actress known for her work in mid-20th-century film and television.
  • E. Mary Murray
    Mary Murray is an Irish actress best known for her role in the film "The Magdalene Sisters" and for her work in Irish film, television, and theatre.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c2c6d48190bbfe505cf7d973f9 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.