Triple

T13314041
Position Surface form Disambiguated ID Type / Status
Subject Sir James Paget E317144 entity
Predicate name P16 FINISHED
Object Sir James Paget E317144 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: Sir James Paget | Statement: [Sir James Paget, name, Sir James Paget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir James Paget
Context triple: [Sir James Paget, name, 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. 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.
  • E. Jean Paget
    Jean Paget is the resilient Englishwoman protagonist of Nevil Shute’s novel "A Town Like Alice," known for her courage and resourcefulness during and after World War II.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f8a86481909ea2942c63037b77 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ec2ec08190a6e37795b422fe71 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.