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.