Triple
T10609914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epidiolex |
E275978
|
entity |
| Predicate | drugInteractionWith |
P68633
|
FINISHED |
| Object |
valproate
Valproate is an anticonvulsant and mood-stabilizing medication widely used to treat epilepsy, bipolar disorder, and to prevent migraine headaches.
|
E874304
|
NE FINISHED |
How this triple was built (4 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: valproate | Statement: [Epidiolex, drugInteractionWith, valproate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: valproate Context triple: [Epidiolex, drugInteractionWith, valproate]
-
A.
carbamazepine
Carbamazepine is an anticonvulsant and mood-stabilizing drug commonly used to treat epilepsy, trigeminal neuralgia, and bipolar disorder.
-
B.
phenytoin
Phenytoin is an antiepileptic medication commonly used to prevent and control seizures by stabilizing neuronal activity in the brain.
-
C.
Lyrica
Lyrica is a prescription medication (pregabalin) commonly used to treat nerve pain, fibromyalgia, and certain types of seizures.
-
D.
Acurenam
Acurenam is a town located in the Centro Sur province of Equatorial Guinea.
-
E.
Andexxa
Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: valproate Triple: [Epidiolex, drugInteractionWith, valproate]
Generated description
Valproate is an anticonvulsant and mood-stabilizing medication widely used to treat epilepsy, bipolar disorder, and to prevent migraine headaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: valproate Target entity description: Valproate is an anticonvulsant and mood-stabilizing medication widely used to treat epilepsy, bipolar disorder, and to prevent migraine headaches.
-
A.
carbamazepine
Carbamazepine is an anticonvulsant and mood-stabilizing drug commonly used to treat epilepsy, trigeminal neuralgia, and bipolar disorder.
-
B.
phenytoin
Phenytoin is an antiepileptic medication commonly used to prevent and control seizures by stabilizing neuronal activity in the brain.
-
C.
Lyrica
Lyrica is a prescription medication (pregabalin) commonly used to treat nerve pain, fibromyalgia, and certain types of seizures.
-
D.
Acurenam
Acurenam is a town located in the Centro Sur province of Equatorial Guinea.
-
E.
Andexxa
Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
- F. None of above. chosen
Provenance (5 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6f31b72d081908ec8029cd9f6d814 |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ebe539881908aeff1cd65cf925f |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d95f81955c8190b629d57a034a4b76 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d961047a78819088094e02c0b99f60 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:32 p.m.