Triple
T11074579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-CHOP |
E261830
|
entity |
| Predicate | containsVincaAlkaloid |
P24581
|
FINISHED |
| Object | vincristine |
—
|
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: vincristine | Statement: [R-CHOP, containsVincaAlkaloid, vincristine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsVincaAlkaloid Context triple: [R-CHOP, containsVincaAlkaloid, vincristine]
-
A.
containsAlkaloids
Indicates that a substance, organism, or material has alkaloid compounds present within it.
-
B.
isNonPsychoactivePrecursorOf
Indicates that one substance is a precursor of another in a biochemical or pharmacological pathway, and that the precursor itself does not produce psychoactive effects.
-
C.
isNonIntoxicating
Indicates that something does not cause intoxication or impair a person's mental or physical faculties.
-
D.
containsChemical
chosen
Indicates that one entity includes or has within it a specified chemical substance.
-
E.
hasChemicalClass
Indicates that an entity belongs to, or is categorized under, a particular chemical class based on its structural or compositional characteristics.
- 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.