Triple
T11074824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APHINITY trial |
E261835
|
entity |
| Predicate | chemotherapyBackbone |
P82344
|
FINISHED |
| Object | anthracycline-based regimens |
—
|
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: anthracycline-based regimens | Statement: [APHINITY trial, chemotherapyBackbone, anthracycline-based regimens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chemotherapyBackbone Context triple: [APHINITY trial, chemotherapyBackbone, anthracycline-based regimens]
-
A.
hasChemostratigraphy
Indicates that one entity is characterized or correlated using chemostratigraphic data derived from another entity.
-
B.
knownForTreatmentOf
Indicates that an entity is recognized or notable for providing treatment or medical care for a particular condition, disease, or type of patient.
-
C.
hasChemicalClass
Indicates that an entity belongs to, or is categorized under, a particular chemical class based on its structural or compositional characteristics.
-
D.
regimenDependsOn
Indicates that the applicability or outcome of a regimen is contingent upon another specified factor, condition, or regimen.
-
E.
treatmentCharacterization
chosen
Indicates how a treatment is defined, described, or categorized in terms of its nature, properties, or distinguishing features.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994efb608190a81bc8c4d16ddbd0 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.