Triple
T1550784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staten Island University Hospital |
E33084
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell
The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell is a New York–based medical school formed through a partnership between Hofstra University and Northwell Health, known for its innovative curriculum and strong integration with a large health system.
|
E175835
|
NE FINISHED |
How this triple was built (4 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: Donald and Barbara Zucker School of Medicine at Hofstra/Northwell | Statement: [Staten Island University Hospital, affiliation, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Context triple: [Staten Island University Hospital, affiliation, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell]
-
A.
Herbert Wertheim College of Medicine
Herbert Wertheim College of Medicine is the medical school of Florida International University in Miami, known for its community-focused, primary care–oriented medical education and research programs.
-
B.
Icahn School of Medicine at Mount Sinai
The Icahn School of Medicine at Mount Sinai is a prominent New York City medical school and research institution known for its strong programs in biomedical science, clinical care, and translational research.
-
C.
NYU Grossman School of Medicine
NYU Grossman School of Medicine is a leading academic medical institution in New York City known for its innovative research, clinical excellence, and tuition-free MD program.
-
D.
Weill Cornell Medical College
Weill Cornell Medical College is a prestigious medical school and biomedical research institution affiliated with Cornell University and NewYork-Presbyterian Hospital in New York City.
-
E.
Lewis Katz School of Medicine
The Lewis Katz School of Medicine is the medical school of Temple University in Philadelphia, known for its research, clinical training, and service to diverse urban communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Triple: [Staten Island University Hospital, affiliation, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell]
Generated description
The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell is a New York–based medical school formed through a partnership between Hofstra University and Northwell Health, known for its innovative curriculum and strong integration with a large health system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Target entity description: The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell is a New York–based medical school formed through a partnership between Hofstra University and Northwell Health, known for its innovative curriculum and strong integration with a large health system.
-
A.
Herbert Wertheim College of Medicine
Herbert Wertheim College of Medicine is the medical school of Florida International University in Miami, known for its community-focused, primary care–oriented medical education and research programs.
-
B.
Icahn School of Medicine at Mount Sinai
The Icahn School of Medicine at Mount Sinai is a prominent New York City medical school and research institution known for its strong programs in biomedical science, clinical care, and translational research.
-
C.
NYU Grossman School of Medicine
NYU Grossman School of Medicine is a leading academic medical institution in New York City known for its innovative research, clinical excellence, and tuition-free MD program.
-
D.
Weill Cornell Medical College
Weill Cornell Medical College is a prestigious medical school and biomedical research institution affiliated with Cornell University and NewYork-Presbyterian Hospital in New York City.
-
E.
Lewis Katz School of Medicine
The Lewis Katz School of Medicine is the medical school of Temple University in Philadelphia, known for its research, clinical training, and service to diverse urban communities.
- F. None of above. chosen
Provenance (5 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90858d91881909defc85ec7a22ab3 |
completed | March 5, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad30a29ae88190ab1b2ca97b8ed09c |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad3196e92481909bd09e6c765a9698 |
completed | March 8, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad32391ed881909826a80a90f18cb4 |
completed | March 8, 2026, 8:24 a.m. |
Created at: March 4, 2026, 7:26 p.m.