Triple
T11371083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Medicine neurosurgery department |
E269341
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Penn Medicine radiation oncology department
The Penn Medicine radiation oncology department is a clinical and research division of Penn Medicine specializing in advanced radiation therapies for cancer treatment, often working in multidisciplinary teams with other specialties.
|
E921865
|
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: Penn Medicine radiation oncology department | Statement: [Penn Medicine neurosurgery department, collaboratesWith, Penn Medicine radiation oncology department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penn Medicine radiation oncology department Context triple: [Penn Medicine neurosurgery department, collaboratesWith, Penn Medicine radiation oncology department]
-
A.
Penn Medicine neurosurgery department
The Penn Medicine neurosurgery department is a leading academic neurosurgical center known for advanced brain and spine surgery, research, and multidisciplinary care within the University of Pennsylvania Health System.
-
B.
Penn Medicine Princeton Health
Penn Medicine Princeton Health is a regional healthcare system in New Jersey affiliated with the University of Pennsylvania Health System, providing comprehensive medical services through its hospital and network of outpatient facilities.
-
C.
Laura and Isaac Perlmutter Cancer Center
Laura and Isaac Perlmutter Cancer Center is a comprehensive cancer treatment and research facility affiliated with NYU Langone, known for providing advanced oncology care and conducting cutting-edge cancer research.
-
D.
Penn Medicine
Penn Medicine is the University of Pennsylvania’s integrated academic health system, encompassing hospitals, clinics, and research and teaching programs in Philadelphia and the surrounding region.
-
E.
Sidney Kimmel Comprehensive Cancer Center
The Sidney Kimmel Comprehensive Cancer Center is a leading National Cancer Institute–designated comprehensive cancer center at Johns Hopkins, renowned for its cutting-edge cancer research, treatment, and education.
- 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: Penn Medicine radiation oncology department Triple: [Penn Medicine neurosurgery department, collaboratesWith, Penn Medicine radiation oncology department]
Generated description
The Penn Medicine radiation oncology department is a clinical and research division of Penn Medicine specializing in advanced radiation therapies for cancer treatment, often working in multidisciplinary teams with other specialties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Penn Medicine radiation oncology department Target entity description: The Penn Medicine radiation oncology department is a clinical and research division of Penn Medicine specializing in advanced radiation therapies for cancer treatment, often working in multidisciplinary teams with other specialties.
-
A.
Penn Medicine neurosurgery department
The Penn Medicine neurosurgery department is a leading academic neurosurgical center known for advanced brain and spine surgery, research, and multidisciplinary care within the University of Pennsylvania Health System.
-
B.
Penn Medicine Princeton Health
Penn Medicine Princeton Health is a regional healthcare system in New Jersey affiliated with the University of Pennsylvania Health System, providing comprehensive medical services through its hospital and network of outpatient facilities.
-
C.
Laura and Isaac Perlmutter Cancer Center
Laura and Isaac Perlmutter Cancer Center is a comprehensive cancer treatment and research facility affiliated with NYU Langone, known for providing advanced oncology care and conducting cutting-edge cancer research.
-
D.
Penn Medicine
Penn Medicine is the University of Pennsylvania’s integrated academic health system, encompassing hospitals, clinics, and research and teaching programs in Philadelphia and the surrounding region.
-
E.
Sidney Kimmel Comprehensive Cancer Center
The Sidney Kimmel Comprehensive Cancer Center is a leading National Cancer Institute–designated comprehensive cancer center at Johns Hopkins, renowned for its cutting-edge cancer research, treatment, and education.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8b196881909af9b138661e816d |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568516a481909ea66cbe53968e84 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c7de3c8190befb6d7131129a2c |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a776390819082d47ad00cf1862b |
completed | April 19, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:33 p.m.