Triple

T182711
Position Surface form Disambiguated ID Type / Status
Subject Richard Nurse E3911 entity
Predicate hasSurname P18 FINISHED
Object Nurse E3911 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: Nurse | Statement: [Richard Nurse, hasSurname, Nurse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nurse
Context triple: [Richard Nurse, hasSurname, Nurse]
  • A. Nurse chosen
    Nurse is a common English occupational surname originally referring to someone who worked as a caregiver or medical attendant.
  • B. School of Nursing
    The School of Nursing at the University of Pennsylvania is a leading institution for nursing education, research, and clinical practice, known for its rigorous programs and contributions to healthcare innovation.
  • C. Connell School of Nursing
    Connell School of Nursing is the nursing school of Boston College, known for its Jesuit, research-focused education in nursing and healthcare leadership.
  • D. Faculty of Nursing
    The Faculty of Nursing at Cairo University is an academic institution dedicated to educating and training professional nurses and advancing nursing research and healthcare practice in Egypt.
  • E. Florence Nightingale Graham
    Florence Nightingale Graham, better known as Elizabeth Arden, was a pioneering Canadian-American businesswoman who built a global cosmetics empire and helped shape the modern beauty industry.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2592516748190a85ae58eec191f14 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa7e41c88190bf15f5223d215ab8 completed Feb. 28, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.