Triple

T18367380
Position Surface form Disambiguated ID Type / Status
Subject Paget E440082 entity
Predicate notableMember P10 FINISHED
Object Sir James Paget NE NERFINISHED

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 James Paget | Statement: [Paget, notableMember, Sir James Paget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir James Paget
Context triple: [Paget, notableMember, Sir James Paget]
  • A. Sir James Paget chosen
    Sir James Paget was a prominent 19th-century English surgeon and pathologist, renowned as one of the founders of modern pathology and for describing several medical conditions that bear his name.
  • B. Walter Paget
    Walter Paget was a British illustrator of the late 19th and early 20th centuries, known for his work on adventure and historical novels.
  • C. Francis Paget
    Francis Paget was an English theologian and Anglican bishop who served as Bishop of Oxford in the late 19th and early 20th centuries.
  • D. George Edward Paget
    George Edward Paget was a 19th-century English physician and academic known for his contributions to clinical medicine and medical education at the University of Cambridge.
  • E. Alfred Paget
    Alfred Paget was a British silent film actor known for his numerous roles in early 20th-century cinema, often appearing in D.W. Griffith productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174f5f448190a1fc67d3039aadd9 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.