Triple
T11074580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-CHOP |
E261830
|
entity |
| Predicate | containsCorticosteroid |
P24581
|
FINISHED |
| Object | prednisone |
—
|
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: prednisone | Statement: [R-CHOP, containsCorticosteroid, prednisone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCorticosteroid Context triple: [R-CHOP, containsCorticosteroid, prednisone]
-
A.
isExtendedReleaseFormulationOf
Indicates that one pharmaceutical formulation is an extended-release version of another, designed to release the active ingredient more slowly over time.
-
B.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
-
C.
containsAdditives
Indicates that one entity includes or is composed of additional substances or ingredients beyond its primary or original components.
-
D.
containsChemical
chosen
Indicates that one entity includes or has within it a specified chemical substance.
-
E.
containsAllergenicCompound
Indicates that the subject entity includes one or more compounds known to cause allergic reactions.
- 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.