Triple

T23494162
Position Surface form Disambiguated ID Type / Status
Subject John Norreys E571655 entity
Predicate knownAs P39 FINISHED
Object Sir John Norreys 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 John Norreys | Statement: [John Norreys, knownAs, Sir John Norreys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir John Norreys
Context triple: [John Norreys, knownAs, Sir John Norreys]
  • A. Sir John Norris chosen
    Sir John Norris was a prominent 16th-century English soldier and general known for his campaigns in the Netherlands and Ireland during the Elizabethan era.
  • B. Sir John Chester
    Sir John Chester is a suave, manipulative aristocrat and one of the principal antagonists in Charles Dickens’s historical novel "Barnaby Rudge."
  • C. Sir John Hurry
    Sir John Hurry was a 17th-century Scottish soldier and professional officer who fought on both sides during the Wars of the Three Kingdoms, notably serving as a senior commander in several key battles.
  • D. Sir Willoughby Norrie
    Sir Willoughby Norrie was a British Army officer and colonial administrator who served as Governor-General of New Zealand in the mid-20th century.
  • E. Sir John Tyrrell
    Sir John Tyrrell was an English statesman and landowner whose prominence and influence led to places such as Tyrrell County being named in his honor.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7de1ab88190b6c2441c63a99713 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.