Triple

T22339775
Position Surface form Disambiguated ID Type / Status
Subject Jameel Clinic for Machine Learning in Health E552242 entity
Predicate alsoKnownAs P39 FINISHED
Object Abdul Latif Jameel Clinic for Machine Learning in Health — NE NERFINISHED

How this triple was built (2 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: Abdul Latif Jameel Clinic for Machine Learning in Health | Statement: [Jameel Clinic for Machine Learning in Health, alsoKnownAs, Abdul Latif Jameel Clinic for Machine Learning in Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abdul Latif Jameel Clinic for Machine Learning in Health
Context triple: [Jameel Clinic for Machine Learning in Health, alsoKnownAs, Abdul Latif Jameel Clinic for Machine Learning in Health]
  • A. Jameel Clinic for Machine Learning in Health chosen
    The Jameel Clinic for Machine Learning in Health is an MIT research center focused on applying artificial intelligence and machine learning to transform disease prevention, diagnosis, and treatment.
  • B. MIT Jameel Clinic
    MIT Jameel Clinic is a research center at the Massachusetts Institute of Technology focused on advancing healthcare through machine learning and artificial intelligence.
  • C. Centre for Collaboration with Learning Health Systems Networks
    The Centre for Collaboration with Learning Health Systems Networks is a unit within the Norwegian Institute of Public Health that focuses on partnering with health system networks to continuously generate, share, and apply evidence for improving healthcare quality and outcomes.
  • D. Centre for Digital Health
    The Centre for Digital Health is a specialized unit within Norway’s public health system that focuses on developing, implementing, and evaluating digital tools and technologies to improve population health and healthcare services.
  • E. Australian Institute for Machine Learning
    The Australian Institute for Machine Learning is a leading research institution based in Adelaide that focuses on advancing artificial intelligence and machine learning technologies through academic and industry collaboration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157824f588190882bea9e61dd5a83 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.