Triple
T19157223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keytruda |
E468955
|
entity |
| Predicate | hasTradeName |
P24555
|
FINISHED |
| Object | Keytruda |
—
|
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: Keytruda | Statement: [Keytruda, hasTradeName, Keytruda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keytruda Context triple: [Keytruda, hasTradeName, Keytruda]
-
A.
Keytruda
chosen
Keytruda is a widely used immunotherapy cancer drug (pembrolizumab) that works by blocking the PD-1 pathway to help the immune system attack tumors.
-
B.
Libtayo
Libtayo is a monoclonal antibody immunotherapy drug used primarily to treat certain types of advanced skin and lung cancers by targeting the PD-1 pathway.
-
C.
Tecentriq
Tecentriq is an immunotherapy cancer drug (atezolizumab) that targets the PD-L1 protein to help the immune system attack tumors in various cancers.
-
D.
nivolumab
Nivolumab is a monoclonal antibody immunotherapy drug that blocks the PD-1 immune checkpoint to enhance the body’s anti-tumor response in various cancers.
-
E.
Seagen
Seagen is a biotechnology company specializing in the development of antibody-drug conjugate (ADC) therapies for cancer treatment.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.