Triple

T15549607
Position Surface form Disambiguated ID Type / Status
Subject Lauren Baker E370706 entity
Predicate memberOf P10 FINISHED
Object Massachusetts General Hospital for Children Family Advisory Council
The Massachusetts General Hospital for Children Family Advisory Council is a parent- and family-partner group that collaborates with hospital leadership and staff to improve pediatric patient care, experience, and policies at Mass General for Children.
E1163216 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: Massachusetts General Hospital for Children Family Advisory Council | Statement: [Lauren Baker, memberOf, Massachusetts General Hospital for Children Family Advisory Council]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massachusetts General Hospital for Children Family Advisory Council
Context triple: [Lauren Baker, memberOf, Massachusetts General Hospital for Children Family Advisory Council]
  • A. Board of Trustees of Massachusetts General Hospital
    The Board of Trustees of Massachusetts General Hospital is the governing body responsible for overseeing the hospital’s strategic direction, policies, and affiliated institutions.
  • B. Boston Children’s Hospital
    Boston Children’s Hospital is a leading pediatric medical center and research institution in Boston, renowned for specialized care for infants, children, and adolescents.
  • C. Massachusetts Council of Assistants
    The Massachusetts Council of Assistants was the upper governing body of the early Massachusetts Bay Colony, functioning as a council of magistrates who shared executive, legislative, and judicial authority with the colonial governor.
  • D. Mass General Brigham
    Mass General Brigham is a large, Boston-based nonprofit healthcare system and academic medical network that includes Massachusetts General Hospital and Brigham and Women’s Hospital among its flagship institutions.
  • E. Hasbro Children’s Hospital
    Hasbro Children’s Hospital is a leading pediatric hospital in Providence, Rhode Island, known for providing comprehensive medical care to children and serving as a major teaching site for Brown University’s Warren Alpert Medical School.
  • 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: Massachusetts General Hospital for Children Family Advisory Council
Triple: [Lauren Baker, memberOf, Massachusetts General Hospital for Children Family Advisory Council]
Generated description
The Massachusetts General Hospital for Children Family Advisory Council is a parent- and family-partner group that collaborates with hospital leadership and staff to improve pediatric patient care, experience, and policies at Mass General for Children.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Massachusetts General Hospital for Children Family Advisory Council
Target entity description: The Massachusetts General Hospital for Children Family Advisory Council is a parent- and family-partner group that collaborates with hospital leadership and staff to improve pediatric patient care, experience, and policies at Mass General for Children.
  • A. Board of Trustees of Massachusetts General Hospital
    The Board of Trustees of Massachusetts General Hospital is the governing body responsible for overseeing the hospital’s strategic direction, policies, and affiliated institutions.
  • B. Boston Children’s Hospital
    Boston Children’s Hospital is a leading pediatric medical center and research institution in Boston, renowned for specialized care for infants, children, and adolescents.
  • C. Massachusetts Council of Assistants
    The Massachusetts Council of Assistants was the upper governing body of the early Massachusetts Bay Colony, functioning as a council of magistrates who shared executive, legislative, and judicial authority with the colonial governor.
  • D. Mass General Brigham
    Mass General Brigham is a large, Boston-based nonprofit healthcare system and academic medical network that includes Massachusetts General Hospital and Brigham and Women’s Hospital among its flagship institutions.
  • E. Hasbro Children’s Hospital
    Hasbro Children’s Hospital is a leading pediatric hospital in Providence, Rhode Island, known for providing comprehensive medical care to children and serving as a major teaching site for Brown University’s Warren Alpert Medical School.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455dfbcc8190a93e90c59b2d3045 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff467e5d6c8190ba3bf6557e683233 completed May 9, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff470912bc8190a42ee312aca55872 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:08 a.m.