Triple

T11354018
Position Surface form Disambiguated ID Type / Status
Subject Mount Sinai Hospital E268905 entity
Predicate hasResearchInstitute P186 FINISHED
Object Lunenfeld‑Tanenbaum Research Institute
The Lunenfeld‑Tanenbaum Research Institute is a leading biomedical research center in Toronto renowned for its work in areas such as genetics, cancer, and developmental biology.
E920811 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: Lunenfeld‑Tanenbaum Research Institute | Statement: [Mount Sinai Hospital, hasResearchInstitute, Lunenfeld‑Tanenbaum Research Institute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunenfeld‑Tanenbaum Research Institute
Context triple: [Mount Sinai Hospital, hasResearchInstitute, Lunenfeld‑Tanenbaum Research Institute]
  • A. Lady Davis Institute for Medical Research
    The Lady Davis Institute for Medical Research is a leading biomedical research center in Montreal known for its work in cancer, epidemiology, genetics, and aging, and its affiliation with McGill University.
  • B. Klausman Institute for Medical Research
    The Klausman Institute for Medical Research is a fictional, prestigious medical research facility featured in the television series "Grey's Anatomy," where advanced surgical and scientific work is conducted.
  • C. Feinstein Institutes for Medical Research
    The Feinstein Institutes for Medical Research is a leading biomedical research organization in New York focused on advancing medical science and improving patient care through translational and clinical research.
  • D. A. Alfred Taubman Medical Research Institute
    The A. Alfred Taubman Medical Research Institute is a biomedical research center at the University of Michigan dedicated to advancing translational medicine and accelerating the development of new therapies.
  • E. Wistar Institute
    The Wistar Institute is a renowned biomedical research center in Philadelphia known for its pioneering work in cancer, immunology, and vaccine development.
  • 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: Lunenfeld‑Tanenbaum Research Institute
Triple: [Mount Sinai Hospital, hasResearchInstitute, Lunenfeld‑Tanenbaum Research Institute]
Generated description
The Lunenfeld‑Tanenbaum Research Institute is a leading biomedical research center in Toronto renowned for its work in areas such as genetics, cancer, and developmental biology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lunenfeld‑Tanenbaum Research Institute
Target entity description: The Lunenfeld‑Tanenbaum Research Institute is a leading biomedical research center in Toronto renowned for its work in areas such as genetics, cancer, and developmental biology.
  • A. Lady Davis Institute for Medical Research
    The Lady Davis Institute for Medical Research is a leading biomedical research center in Montreal known for its work in cancer, epidemiology, genetics, and aging, and its affiliation with McGill University.
  • B. Klausman Institute for Medical Research
    The Klausman Institute for Medical Research is a fictional, prestigious medical research facility featured in the television series "Grey's Anatomy," where advanced surgical and scientific work is conducted.
  • C. Feinstein Institutes for Medical Research
    The Feinstein Institutes for Medical Research is a leading biomedical research organization in New York focused on advancing medical science and improving patient care through translational and clinical research.
  • D. A. Alfred Taubman Medical Research Institute
    The A. Alfred Taubman Medical Research Institute is a biomedical research center at the University of Michigan dedicated to advancing translational medicine and accelerating the development of new therapies.
  • E. Wistar Institute
    The Wistar Institute is a renowned biomedical research center in Philadelphia known for its pioneering work in cancer, immunology, and vaccine development.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea404e0c8190befe349b45918b38 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.