Triple

T5689136
Position Surface form Disambiguated ID Type / Status
Subject ARIA-H E125385 entity
Predicate associatedWith P37 FINISHED
Object aducanumab E24938 NE FINISHED

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: aducanumab | Statement: [ARIA-H, associatedWith, aducanumab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: aducanumab
Context triple: [ARIA-H, associatedWith, aducanumab]
  • A. Aduhelm chosen
    Aduhelm is an Alzheimer’s disease drug developed by Biogen that targets amyloid-beta plaques in the brain.
  • B. ocrelizumab
    Ocrelizumab is a humanized monoclonal antibody used as a disease-modifying therapy for multiple sclerosis, particularly targeting CD20-positive B cells to reduce disease activity.
  • C. ansuvimab
    Ansuvimab is a monoclonal antibody used as a therapeutic treatment for infection caused by Zaire ebolavirus (Ebola virus).
  • D. Donepezil
    Donepezil is a cholinesterase inhibitor medication primarily used to treat cognitive symptoms of Alzheimer's disease.
  • E. faricimab
    Faricimab is a bispecific monoclonal antibody used to treat neovascular eye diseases such as wet age-related macular degeneration and diabetic macular edema by targeting both VEGF-A and Ang-2 pathways.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e1c6148190aeae7620bd9ee9d4 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a47457c8190bc75f11a7f011a8a completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.