Triple

T20645712
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mike Cruz E507349 entity
Predicate takesOver P8877 FINISHED
Object All Saints Hospital — NE NERFINISHED

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 | Statement: [Dr. Mike Cruz, takesOver, All Saints Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All Saints Hospital
Context triple: [Dr. Mike Cruz, takesOver, All Saints Hospital]
  • A. All Saints Hospital chosen
    All Saints Hospital is a fictional New York City medical center featured in the television series "Nurse Jackie."
  • B. All Souls’ Hospital
    All Souls’ Hospital was a former healthcare facility in Morristown, New Jersey, that later became part of what is now Morristown Medical Center.
  • C. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • D. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • E. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1dd79481909de985d03ab861c2 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.