Triple

T16833979
Position Surface form Disambiguated ID Type / Status
Subject A Day E409222 entity
Predicate partOf P40 FINISHED
Object Hospital Sketches E83592 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: Hospital Sketches | Statement: [A Day, partOf, Hospital Sketches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hospital Sketches
Context triple: [A Day, partOf, Hospital Sketches]
  • A. Hospital Sketches chosen
    Hospital Sketches is a semi-autobiographical collection of Civil War–era sketches by Louisa May Alcott, based on her experiences as a Union Army nurse.
  • B. Notes on Hospitals
    "Notes on Hospitals" is a pioneering 19th-century work by Florence Nightingale that analyzes hospital design and management to improve sanitation, patient outcomes, and public health.
  • C. "Hospital Sketches"
    "Hospital Sketches" is an 1863 collection of semi-autobiographical Civil War nursing narratives by Louisa May Alcott, based on her experiences caring for wounded soldiers.
  • D. HospitalRun
    HospitalRun is an open-source, offline-first hospital management software project designed to improve healthcare record-keeping in low-resource settings.
  • E. Hospital Playlist
    Hospital Playlist is a popular South Korean medical drama series that follows the intertwined personal and professional lives of five longtime friends who work as doctors at the same hospital.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31981ac8190bbd9720efe842778 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc366bc819084406ee88ddffe44 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:23 a.m.