Triple

T5873717
Position Surface form Disambiguated ID Type / Status
Subject Counter-Armada E130577 entity
Predicate commander P1061 FINISHED
Object John Norreys E571655 NE FINISHED

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 Norreys | Statement: [Counter-Armada, commander, John Norreys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Norreys
Context triple: [Counter-Armada, commander, John Norreys]
  • A. John Norreys chosen
    John Norreys was an English soldier and commander of the late 16th century, noted for his prominent role in Elizabethan military campaigns in Europe.
  • B. William Orlamond
    William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
  • C. George Nares
    George Nares was a 19th-century British naval officer and explorer best known for leading the pioneering oceanographic expedition of HMS Challenger.
  • D. Robert Cornthwaite
    Robert Cornthwaite was an American character actor best known for his roles in 1950s science fiction films and numerous television appearances.
  • E. Roy Foltrigg
    Roy Foltrigg is a hard-driving, politically ambitious U.S. Attorney who serves as the chief legal antagonist in the legal thriller film "The Client."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035fafb54819085378e7c8d137402 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603c7dac48190b742e9e5430b8bde completed March 27, 2026, 4:12 a.m.
Created at: March 22, 2026, 3:57 p.m.