Triple

T15551007
Position Surface form Disambiguated ID Type / Status
Subject Anita Radcliffe E370742 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: [Anita Radcliffe, familyName, Radcliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radcliffe
Context triple: [Anita 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:08 a.m.