Triple
T32279841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nivolumab |
E824658
|
entity |
| Predicate | usedInTherapy |
P39637
|
FINISHED |
| Object | cancer immunotherapy |
—
|
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: cancer immunotherapy | Statement: [nivolumab, usedInTherapy, cancer immunotherapy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInTherapy Context triple: [nivolumab, usedInTherapy, cancer immunotherapy]
-
A.
therapyWith
Indicates that one entity receives or engages in therapeutic treatment or counseling with another entity (such as a therapist, therapy method, or therapeutic resource).
-
B.
includesTherapy
Indicates that one entity contains, offers, or encompasses a specific therapeutic treatment or intervention as part of its scope or composition.
-
C.
potentialTherapeuticUse
chosen
Indicates that something is being considered or investigated as a possible treatment or therapy for a condition or disease.
-
D.
usesTreatment
Indicates that one entity applies or employs a particular treatment or therapeutic method on or for another entity.
-
E.
therapeuticOrientation
Indicates the specific therapeutic approach or framework a practitioner uses when providing psychological or counseling treatment.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 1, 2026, 12:43 a.m.