Triple

T20452229
Position Surface form Disambiguated ID Type / Status
Subject Sir Nicholas Green E501682 entity
Predicate name P16 FINISHED
Object Sir Nicholas Green 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: Sir Nicholas Green | Statement: [Sir Nicholas Green, name, Sir Nicholas Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Nicholas Green
Context triple: [Sir Nicholas Green, name, Sir Nicholas Green]
  • A. Sir Nicholas Green chosen
    Sir Nicholas Green is a senior British judge and legal scholar who has served as a Lord Justice of Appeal.
  • B. Sir John Woodward Green
    Sir John Woodward Green was a distinguished British judge who served as a Lord Justice of Appeal.
  • C. Sir Christopher Greenwood
    Sir Christopher Greenwood is a British jurist who has served as a judge on the International Court of Justice and is noted for his expertise in international law.
  • D. Sir Frederick Halliday
    Sir Frederick Halliday was a 19th-century British colonial administrator best known as the first Lieutenant-Governor of Bengal in British India.
  • E. Sir Iain Noble
    Sir Iain Noble was a Scottish businessman and landowner best known for his efforts to promote the Gaelic language and culture, particularly on the Isle of Skye.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d0296ac819081e74c67d3cc6349 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.