Triple
T36599497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tucatinib |
E902879
|
entity |
| Predicate | hasEffectInTrial |
P123084
|
FINISHED |
| Object | improved progression-free survival in HER2-positive metastatic breast cancer |
—
|
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: improved progression-free survival in HER2-positive metastatic breast cancer | Statement: [tucatinib, hasEffectInTrial, improved progression-free survival in HER2-positive metastatic breast cancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEffectInTrial Context triple: [tucatinib, hasEffectInTrial, improved progression-free survival in HER2-positive metastatic breast cancer]
-
A.
hasEffectIn
chosen
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
-
B.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
C.
hasClinicalTrialsIn
Indicates that clinical trials related to an entity are being or have been conducted in a specified location or region.
-
D.
trialOccurredIn
Indicates that a particular trial took place within a specified location, venue, or jurisdiction.
-
E.
hasSubjectTreatment
Indicates that a subject is receiving, has received, or is associated with a particular treatment or therapeutic intervention.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.