Triple
T13446334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Medical diabetes commercials |
E320493
|
entity |
| Predicate | healthTheme |
P109970
|
FINISHED |
| Object | importance of regular blood sugar testing |
—
|
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: importance of regular blood sugar testing | Statement: [Liberty Medical diabetes commercials, healthTheme, importance of regular blood sugar testing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthTheme Context triple: [Liberty Medical diabetes commercials, healthTheme, importance of regular blood sugar testing]
-
A.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
B.
healthRationale
Indicates the reasoning or justification behind an assessment, decision, or action related to health.
-
C.
healthIndicator
Indicates a measure or signal that reflects the health status or condition of an entity.
-
D.
healthResponsibility
Indicates that an entity has a duty or obligation to maintain, protect, or manage the health or well-being of another entity or itself.
-
E.
illness
Indicates that an entity is affected by, or suffering from, a particular disease or medical condition.
- F. None of above. chosen
Provenance (4 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef5f610819092cad33ef72075ff |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:40 p.m.