Triple

T19992938
Position Surface form Disambiguated ID Type / Status
Subject Ebixa E494106 entity
Predicate drugInteractionCaution P68633 FINISHED
Object amantadine 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: amantadine | Statement: [Ebixa, drugInteractionCaution, amantadine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: amantadine
Context triple: [Ebixa, drugInteractionCaution, amantadine]
  • A. amantadine chosen
    Amantadine is an antiviral and antiparkinsonian medication used to help manage motor symptoms such as tremor and rigidity in people with Parkinson’s disease.
  • B. Symmetrel
    Symmetrel is a brand-name antiviral and antiparkinsonian medication whose active ingredient is amantadine.
  • C. Acurenam
    Acurenam is a town located in the Centro Sur province of Equatorial Guinea.
  • D. Namenda
    Namenda is a prescription medication used to treat moderate to severe Alzheimer's disease by regulating the activity of glutamate in the brain.
  • E. zanamivir
    Zanamivir is an inhaled neuraminidase inhibitor antiviral drug used to treat and prevent influenza A and B infections, including strains such as the 2009 H1N1 virus.
  • 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.