Triple

T5960345
Position Surface form Disambiguated ID Type / Status
Subject Eisai and Biogen E132619 entity
Predicate developed P73 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: [Eisai and Biogen, developed, aducanumab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: aducanumab
Context triple: [Eisai and Biogen, developed, 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039fd6dd48190a6020bef38b1be82 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3e8f234819099336503a797e55b completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.