Triple

T14779039
Position Surface form Disambiguated ID Type / Status
Subject Roger Radcliffe E347341 entity
Predicate familyName P18 FINISHED
Object Radcliffe E1057783 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: Radcliffe | Statement: [Roger Radcliffe, familyName, Radcliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radcliffe
Context triple: [Roger Radcliffe, familyName, Radcliffe]
  • A. Radcliffe
    Radcliffe is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage along the River Irwell.
  • B. Radcliffe chosen
    Radcliffe is a surname most prominently associated with Paula Radcliffe, the British long-distance runner and former women’s marathon world record holder.
  • C. Heythrop
    Heythrop is a small rural village in West Oxfordshire, England, known for its historic country estate and tranquil countryside setting.
  • D. Magdalen
    Magdalen is a feminine given name of biblical origin, most commonly associated with Mary Magdalene.
  • E. Clare Hall
    Clare Hall is a constituent college of the University of Cambridge, known for its strong focus on advanced study and research, particularly at the graduate and postdoctoral levels.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9c7cac8190ba900df95e42e318 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d00d46c8190b6289a9b8511a8fb completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.