Triple
T12954026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Texas Health Science Center at San Antonio |
E309963
|
entity |
| Predicate | hasResearchCenter |
P40
|
FINISHED |
| Object |
Greehey Children’s Cancer Research Institute
Greehey Children’s Cancer Research Institute is a leading pediatric cancer research center focused on understanding the biology of childhood cancers and developing innovative therapies to improve outcomes for young patients.
|
E1011945
|
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: Greehey Children’s Cancer Research Institute | Statement: [University of Texas Health Science Center at San Antonio, hasResearchCenter, Greehey Children’s Cancer Research Institute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greehey Children’s Cancer Research Institute Context triple: [University of Texas Health Science Center at San Antonio, hasResearchCenter, Greehey Children’s Cancer Research Institute]
-
A.
Robert H. Lurie Comprehensive Cancer Center
The Robert H. Lurie Comprehensive Cancer Center is a leading National Cancer Institute–designated cancer research and treatment center based at Northwestern University in Chicago.
-
B.
St. Jude Children’s Research Hospital
St. Jude Children’s Research Hospital is a leading pediatric treatment and research center in the United States, renowned for its groundbreaking work on childhood cancers and other life-threatening diseases while providing care regardless of a family’s ability to pay.
-
C.
City of Hope National Medical Center
City of Hope National Medical Center is a leading comprehensive cancer treatment and research institution renowned for its pioneering work in oncology, hematology, and stem cell transplantation.
-
D.
C.S. Mott Children’s Hospital
C.S. Mott Children’s Hospital is a major pediatric hospital in Ann Arbor, Michigan, renowned for its comprehensive specialty care and affiliation with the University of Michigan’s academic medical center.
-
E.
Children’s Hospital of Philadelphia
The Children’s Hospital of Philadelphia is a leading U.S. pediatric medical center renowned for its specialized clinical care, research, and education in child health.
- 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: Greehey Children’s Cancer Research Institute Triple: [University of Texas Health Science Center at San Antonio, hasResearchCenter, Greehey Children’s Cancer Research Institute]
Generated description
Greehey Children’s Cancer Research Institute is a leading pediatric cancer research center focused on understanding the biology of childhood cancers and developing innovative therapies to improve outcomes for young patients.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greehey Children’s Cancer Research Institute Target entity description: Greehey Children’s Cancer Research Institute is a leading pediatric cancer research center focused on understanding the biology of childhood cancers and developing innovative therapies to improve outcomes for young patients.
-
A.
Robert H. Lurie Comprehensive Cancer Center
The Robert H. Lurie Comprehensive Cancer Center is a leading National Cancer Institute–designated cancer research and treatment center based at Northwestern University in Chicago.
-
B.
St. Jude Children’s Research Hospital
St. Jude Children’s Research Hospital is a leading pediatric treatment and research center in the United States, renowned for its groundbreaking work on childhood cancers and other life-threatening diseases while providing care regardless of a family’s ability to pay.
-
C.
City of Hope National Medical Center
City of Hope National Medical Center is a leading comprehensive cancer treatment and research institution renowned for its pioneering work in oncology, hematology, and stem cell transplantation.
-
D.
C.S. Mott Children’s Hospital
C.S. Mott Children’s Hospital is a major pediatric hospital in Ann Arbor, Michigan, renowned for its comprehensive specialty care and affiliation with the University of Michigan’s academic medical center.
-
E.
Children’s Hospital of Philadelphia
The Children’s Hospital of Philadelphia is a leading U.S. pediatric medical center renowned for its specialized clinical care, research, and education in child health.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2b0108819098a681f93e90dbda |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7ba4d88190952622e7a07ab39e |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b066f3888190b925e5a43be57965 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:44 p.m.