Triple

T19957954
Position Surface form Disambiguated ID Type / Status
Subject Michelle Hailwood E479734 entity
Predicate name P16 FINISHED
Object Michelle Hailwood 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: Michelle Hailwood | Statement: [Michelle Hailwood, name, Michelle Hailwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Hailwood
Context triple: [Michelle Hailwood, name, Michelle Hailwood]
  • A. Michelle Hailwood chosen
    Michelle Hailwood is the daughter of legendary British motorcycle racer Mike Hailwood.
  • B. Eileen Sherwood
    Eileen Sherwood is a central character in the musical "Wonderful Town," portrayed as a charming, aspiring actress who moves to New York City with her sister to pursue her dreams.
  • C. Margaret Eva Watson
    Margaret Eva Watson was the wife of Herbert Hoover Jr., an engineer and businessman and the elder son of U.S. President Herbert Hoover.
  • D. Helen Dawes
    Helen Dawes is a key supporting character in the period drama film "Albert Nobbs," involved in the emotional and social complexities surrounding the title character's secret life.
  • E. Dorothy Mary Moyle
    Dorothy Mary Moyle was a British biochemist renowned for her pioneering research on muscle metabolism and carbohydrate biochemistry.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af1b32c81908ebe0e2570ec06a9 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.