Triple

T14730648
Position Surface form Disambiguated ID Type / Status
Subject Dr. Fitch Cooper E346063 entity
Predicate worksAt P7 FINISHED
Object All Saints' Hospital emergency department E423759 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: All Saints' Hospital emergency department | Statement: [Dr. Fitch Cooper, worksAt, All Saints' Hospital emergency department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All Saints' Hospital emergency department
Context triple: [Dr. Fitch Cooper, worksAt, All Saints' Hospital emergency department]
  • A. All Saints Hospital chosen
    All Saints Hospital is a fictional New York City medical center featured in the television series "Nurse Jackie."
  • B. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • C. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • D. St. Mary’s Hospital Center
    St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
  • E. St. Mary’s General Hospital
    St. Mary’s General Hospital is a regional acute-care hospital in Kitchener, Ontario, known for providing comprehensive medical and surgical services to the surrounding community.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb89ea388190b356df74e36023f7 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.