Triple

T22102397
Position Surface form Disambiguated ID Type / Status
Subject Nine Men E546201 entity
Predicate musicBy P1952 FINISHED
Object John 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: John Greenwood | Statement: [Nine Men, musicBy, John Greenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Greenwood
Context triple: [Nine Men, musicBy, John Greenwood]
  • A. 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.
  • B. John Greenwood chosen
    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 notable historical figure significant enough in local or regional history to have Greenwood County named in his honor.
  • D. Christopher Greenup
    Christopher Greenup was an early American politician who served as the third governor of Kentucky in the early 19th century.
  • E. Will Greenwood
    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.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.