Triple
T19157222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keytruda |
E468955
|
entity |
| Predicate | isPrescriptionDrug |
P68630
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Keytruda, isPrescriptionDrug, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrescriptionDrug Context triple: [Keytruda, isPrescriptionDrug, true]
-
A.
isPrescriptionOnly
chosen
Indicates that the item can only be obtained or used when authorized by a licensed prescriber, such as through a formal prescription.
-
B.
prescribedIn
Indicates that something (typically a medication, treatment, or procedure) has been formally ordered or recommended within a specific context, such as a prescription, order, or medical record.
-
C.
isAvailableWithoutPrescriptionIn
Indicates that a medication or product can be legally obtained in a given place without requiring a prescription.
-
D.
hasPrescriptionStrength
Indicates that a prescribed medication is associated with a specific dosage strength or concentration.
-
E.
prescribedBy
Indicates that something (typically a treatment, medication, or procedure) has been formally ordered or authorized by a specific agent, usually a medical professional.
- F. None of above.
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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.