Triple

T15879662
Position Surface form Disambiguated ID Type / Status
Subject Diana Matheson E385042 entity
Predicate name P16 FINISHED
Object Diana Matheson 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: Diana Matheson | Statement: [Diana Matheson, name, Diana Matheson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Matheson
Context triple: [Diana Matheson, name, Diana Matheson]
  • A. Diana Matheson chosen
    Diana Matheson is a retired Canadian midfielder best known for scoring the bronze medal–winning goal at the 2012 London Olympics and being a longtime standout for the Canada women’s national soccer team.
  • B. Diana Hamilton
    Diana Hamilton is a renowned Ghanaian gospel singer and songwriter celebrated for her powerful worship music and multiple award-winning performances.
  • C. Diana Langton
    Diana Langton was the wife of British Army officer and former Chief of the Imperial General Staff Sir Archibald Montgomery-Massingberd.
  • D. Diana Harcourt-Smith
    Diana Harcourt-Smith is a member of the Harcourt-Smith family, known in connection with writer and counterculture figure Joanna Harcourt-Smith.
  • E. Diana Wynyard
    Diana Wynyard was a distinguished English stage and film actress, acclaimed for her performances in both British cinema and on the London stage during the early to mid-20th century.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15600863c8190a2dbfd6d7ff495d7 completed April 16, 2026, 9:34 p.m.
Created at: April 10, 2026, 4:51 a.m.