Triple

T11835873
Position Surface form Disambiguated ID Type / Status
Subject Littlewoods E281514 entity
Predicate foundedBy P104 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: [Littlewoods, foundedBy, John Moores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Moores
Context triple: [Littlewoods, foundedBy, 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. 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.
  • E. Colin Dollery
    Colin Dollery was a prominent British clinical pharmacologist known for his influential work in drug evaluation and regulation.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16765aac481908b4cb474b141d842 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.