Triple

T19992840
Position Surface form Disambiguated ID Type / Status
Subject NMDA receptor E494104 entity
Predicate pharmacologicallyBlockedBy P58407 FINISHED
Object memantine 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: memantine | Statement: [NMDA receptor, pharmacologicallyBlockedBy, memantine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: memantine
Context triple: [NMDA receptor, pharmacologicallyBlockedBy, memantine]
  • A. memantine chosen
    Memantine is a medication that helps manage symptoms of moderate to severe Alzheimer's disease by modulating glutamate activity in the brain.
  • B. Donepezil
    Donepezil is a cholinesterase inhibitor medication primarily used to treat cognitive symptoms of Alzheimer's disease.
  • C. Namenda
    Namenda is a prescription medication used to treat moderate to severe Alzheimer's disease by regulating the activity of glutamate in the brain.
  • D. Aptidon
    Aptidon is the surname of Hassan Gouled Aptidon, the first president of the Republic of Djibouti.
  • E. rivastigmine
    Rivastigmine is a cholinesterase inhibitor medication used to manage symptoms of mild to moderate dementia, particularly in Alzheimer's and Parkinson's disease.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe2036c8190b9f313215ad44e87 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.