Triple

T15046513
Position Surface form Disambiguated ID Type / Status
Subject Sir John Moores E379240 entity
Predicate name P16 FINISHED
Object John Moores E413519 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 Moores | Statement: [Sir John Moores, name, John Moores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Moores
Context triple: [Sir John Moores, name, John Moores]
  • A. John Moores Jr. chosen
    John Moores Jr. is a British businessman and philanthropist, known primarily as the son of Littlewoods founder Sir John Moores and for his involvement in the family’s business and charitable activities.
  • B. Gerald McSorley
    Gerald McSorley is an Irish actor known for his character roles in film, television, and theatre, including a supporting part in the political thriller "The Constant Gardener."
  • C. Maurice Keen
    Maurice Keen was a prominent British medieval historian known for his influential works on chivalry, medieval society, and English history.
  • D. Gerald Tetley
    Gerald Tetley is a conflicted, morally troubled character in the Western novel "The Ox-Bow Incident," whose internal struggle highlights the themes of justice and mob mentality.
  • E. John Smedley
    John Smedley was a 19th-century English industrialist and textile manufacturer known for his influential role in the hosiery and knitwear industry and for developing hydropathic establishments.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.