Triple
T22176939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Toronto insulin research team |
E548073
|
entity |
| Predicate | timePeriodOfFirstClinicalUse |
P55558
|
FINISHED |
| Object | 1922 |
—
|
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: 1922 | Statement: [University of Toronto insulin research team, timePeriodOfFirstClinicalUse, 1922]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfFirstClinicalUse Context triple: [University of Toronto insulin research team, timePeriodOfFirstClinicalUse, 1922]
-
A.
historicalPeriodOfFirstUse
chosen
Indicates the historical time period during which something was first used or came into use.
-
B.
firstWidelyUsedDuring
Indicates that something (such as a concept, technology, or practice) came into its first period of broad or widespread use during a specified time or era.
-
C.
firstPublicationPeriod
Indicates the time span during which something was first published or initially made publicly available.
-
D.
isFirstDrugApprovedFor
Indicates that a drug is the earliest or original medication approved for treating a particular condition, disease, or indication.
-
E.
firstUsedAt
Indicates the time or place at which something was initially used or put into operation.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6d03488190b29872ff3f436237 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.