Triple
T11074326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ERBB2 |
E261825
|
entity |
| Predicate | therapeuticTargetOf |
P37016
|
FINISHED |
| Object | tucatinib |
E902879
|
NE 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: tucatinib | Statement: [ERBB2, therapeuticTargetOf, tucatinib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tucatinib Context triple: [ERBB2, therapeuticTargetOf, tucatinib]
-
A.
tucatinib
chosen
Tucatinib is an oral small-molecule tyrosine kinase inhibitor used in the treatment of HER2-positive breast cancer, including cases with brain metastases.
-
B.
neratinib
Neratinib is an oral tyrosine kinase inhibitor used primarily in the treatment of HER2-positive breast cancer, often as extended adjuvant therapy after trastuzumab.
-
C.
lapatinib
Lapatinib is an oral small-molecule tyrosine kinase inhibitor used primarily to treat HER2-positive breast cancer.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994e32fc8190a6591d9e82b68f75 |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e76a49fc8190945f4770bf808b43 |
completed | April 18, 2026, 8:19 p.m. |
Created at: April 8, 2026, 9:26 p.m.