Triple

T20508020
Position Surface form Disambiguated ID Type / Status
Subject Giggleswick School E503483 entity
Predicate hasAlumni P51 FINISHED
Object Will Greenwood 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: Will Greenwood | Statement: [Giggleswick School, hasAlumni, Will Greenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Greenwood
Context triple: [Giggleswick School, hasAlumni, Will Greenwood]
  • A. Will Greenwood chosen
    Will Greenwood is a former England international rugby union centre who was a key member of the 2003 Rugby World Cup–winning team and later became a prominent television pundit.
  • B. John Greenwood
    John Greenwood was a British film composer known for scoring mid-20th-century films, including the 1941 anti-Nazi drama "Pimpernel Smith."
  • C. John Greenwood
    John Greenwood was a prominent 16th-century English Separatist leader and clergyman who advocated for congregational independence from the Church of England and was executed for his nonconformist religious views.
  • D. Christopher Greenbury
    Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
  • E. Arthur Greenwood
    Arthur Greenwood was a prominent British Labour politician who held several key government posts and played a significant role in shaping social policy in the early 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc8f3c881908ed2e0257a057e73 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.