Triple
T20300983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AstraZeneca plc |
E505477
|
entity |
| Predicate | famousForProduct |
P52554
|
FINISHED |
| Object | Lynparza |
—
|
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: Lynparza | Statement: [AstraZeneca plc, famousForProduct, Lynparza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynparza Context triple: [AstraZeneca plc, famousForProduct, Lynparza]
-
A.
Lynparza
chosen
Lynparza is a targeted cancer therapy (a PARP inhibitor) used primarily to treat certain types of ovarian, breast, pancreatic, and prostate cancers associated with BRCA mutations.
-
B.
Ibrance
Ibrance is a targeted oral cancer medication (palbociclib) used primarily to treat certain types of hormone receptor–positive, HER2-negative advanced or metastatic breast cancer.
-
C.
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.
-
D.
Talycopa
Talycopa is a locality or area within the community of Llansamlet in Swansea, Wales.
-
E.
Verzenio
Verzenio is a prescription cancer medication (abemaciclib) used primarily to treat certain types of hormone receptor–positive, HER2-negative breast cancer.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770c700c81909da247cef0d0f1eb |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:16 a.m.