Triple

T9524745
Position Surface form Disambiguated ID Type / Status
Subject levodopa E229731 entity
Predicate alsoKnownAs P39 FINISHED
Object L-dopa E229731 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: L-dopa | Statement: [levodopa, alsoKnownAs, L-dopa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L-dopa
Context triple: [levodopa, alsoKnownAs, L-dopa]
  • A. levodopa chosen
    Levodopa is a cornerstone medication for managing Parkinson’s disease symptoms by replenishing the brain’s depleted dopamine levels.
  • B. rivastigmine
    Rivastigmine is a cholinesterase inhibitor medication used to manage symptoms of mild to moderate dementia, particularly in Alzheimer's and Parkinson'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. Rinvoq
    Rinvoq is a prescription JAK inhibitor medication used to treat various inflammatory and autoimmune conditions such as rheumatoid arthritis and atopic dermatitis.
  • E. thioridazine
    Thioridazine is an older antipsychotic medication from the phenothiazine class, primarily used in the past to treat schizophrenia but now rarely prescribed due to its risk of serious heart rhythm disturbances.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9899f99481908d374528716027f8 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a63fb98819095ef44ba26b6be03 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.