Triple
T33205764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ketoconazole |
E850010
|
entity |
| Predicate | hasOffLabelUse |
P98730
|
FINISHED |
| Object | Cushing syndrome |
—
|
NE NERFINISHED |
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: Cushing syndrome | Statement: [ketoconazole, hasOffLabelUse, Cushing syndrome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOffLabelUse Context triple: [ketoconazole, hasOffLabelUse, Cushing syndrome]
-
A.
mayBeUsedOffLabelFor
chosen
Indicates that something (typically a drug or treatment) can be used for a purpose or condition other than its officially approved or intended use.
-
B.
usedLabel
Indicates that one entity has applied, assigned, or referenced a particular label to another entity or resource.
-
C.
usedInLabeling
Indicates that something is employed or applied as part of a labeling process or activity.
-
D.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
E.
hasOfficialUse
Indicates that something is used in an authorized or formally recognized capacity, typically by an official body or for official purposes.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 1:30 a.m.