Triple

T18957435
Position Surface form Disambiguated ID Type / Status
Subject Juliet Mills E463816 entity
Predicate notableWork P4 FINISHED
Object The Nurse in the Military Hospital NE NERFINISHED

How this triple was built (3 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: The Nurse in the Military Hospital | Statement: [Juliet Mills, notableWork, The Nurse in the Military Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Nurse in the Military Hospital
Context triple: [Juliet Mills, notableWork, The Nurse in the Military Hospital]
  • A. The District Nurse
    The District Nurse is a British television drama series created by Julia Smith that follows the professional and personal challenges of a community nurse working in a Welsh mining town during the 1920s and 1930s.
  • B. Sophie Gray
    Sophie Gray was a 19th-century Scottish woman best known as the sister-in-law and frequent muse of painter John Everett Millais, often associated with the Pre-Raphaelite circle.
  • C. The Lady with the Lamp
    The Lady with the Lamp is the famous nickname of Florence Nightingale, the pioneering 19th-century nurse known for her compassionate care of wounded soldiers and her foundational work in modern nursing.
  • D. The Nurse
    The Nurse is a comic yet deeply loyal servant in Shakespeare's "Romeo and Juliet," acting as Juliet's confidante and go-between in her secret romance with Romeo.
  • E. The Nurse
    The Nurse is a minor supporting character in Tennessee Williams' play "A Streetcar Named Desire," serving in a medical capacity during key dramatic moments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Nurse in the Military Hospital
Target entity description: The Nurse in the Military Hospital is a role portrayed by English actress Juliet Mills, known for her work in film, television, and theatre.
  • A. The District Nurse
    The District Nurse is a British television drama series created by Julia Smith that follows the professional and personal challenges of a community nurse working in a Welsh mining town during the 1920s and 1930s.
  • B. Sophie Gray
    Sophie Gray was a 19th-century Scottish woman best known as the sister-in-law and frequent muse of painter John Everett Millais, often associated with the Pre-Raphaelite circle.
  • C. The Lady with the Lamp
    The Lady with the Lamp is the famous nickname of Florence Nightingale, the pioneering 19th-century nurse known for her compassionate care of wounded soldiers and her foundational work in modern nursing.
  • D. The Nurse
    The Nurse is a comic yet deeply loyal servant in Shakespeare's "Romeo and Juliet," acting as Juliet's confidante and go-between in her secret romance with Romeo.
  • E. The Nurse
    The Nurse is a minor supporting character in Tennessee Williams' play "A Streetcar Named Desire," serving in a medical capacity during key dramatic moments.
  • F. None of above. chosen

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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cee8348190b6506b10aed6c58a completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon