Triple

T11089680
Position Surface form Disambiguated ID Type / Status
Subject Holy Name Medical Center E262217 entity
Predicate name P16 FINISHED
Object Holy Name Medical Center E262217 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: Holy Name Medical Center | Statement: [Holy Name Medical Center, name, Holy Name Medical Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holy Name Medical Center
Context triple: [Holy Name Medical Center, name, Holy Name Medical Center]
  • A. Holy Name Medical Center chosen
    Holy Name Medical Center is a nonprofit community hospital and healthcare facility located in Teaneck, New Jersey.
  • B. Holy Family Hospital
    Holy Family Hospital is a major public teaching and referral hospital located in Rawalpindi, Pakistan.
  • C. Sacred Heart Hospital
    Sacred Heart Hospital is the fictional teaching hospital where most of the events and character interactions in the medical comedy series "Scrubs" take place.
  • D. Catholic Medical Center
    Catholic Medical Center is a major acute-care hospital and healthcare provider serving the Manchester, New Hampshire region.
  • E. Our Lady of Lourdes Medical Center
    Our Lady of Lourdes Medical Center is a Catholic-affiliated hospital in Camden, New Jersey, known for providing comprehensive acute care and specialized medical 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e96ca08190838c8a04d1eb2a16 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7b68ca88190a26ee54eb873c9cf completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.