Triple

T11747173
Position Surface form Disambiguated ID Type / Status
Subject John E279313 entity
Predicate givenNameOf P17 FINISHED
Object Sir John Parker E57087 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: Sir John Parker | Statement: [John, givenNameOf, Sir John Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir John Parker
Context triple: [John, givenNameOf, Sir John Parker]
  • A. Sir John Parker chosen
    Sir John Parker is a prominent British industrialist and business leader known for his extensive career chairing major engineering and shipbuilding companies and influencing UK corporate governance.
  • B. Sir James Thornton
    Sir James Thornton was an architect known for his work on the historic English country house Belvoir Castle.
  • C. 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."
  • D. Sir John Woodburn
    Sir John Woodburn was a British colonial administrator who served in high-ranking roles in India during the late 19th and early 20th centuries.
  • E. Sir John Woodcock
    Sir John Woodcock was a prominent British police officer who served as Chief Constable of several forces and later as Her Majesty’s Chief Inspector of Constabulary.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16695479c819082c6ab12657a2d5f completed April 29, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:41 p.m.