Triple
T10747504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Harvey Kellogg |
E253487
|
entity |
| Predicate | dietAdvocated |
P95772
|
FINISHED |
| Object | vegetarian diet |
—
|
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: vegetarian diet | Statement: [John Harvey Kellogg, dietAdvocated, vegetarian diet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dietAdvocated Context triple: [John Harvey Kellogg, dietAdvocated, vegetarian diet]
-
A.
diet
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
B.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
C.
dietVersion
Indicates that one diet is a specific version, variant, or iteration of another diet.
-
D.
nutritionStandard
Indicates that something complies with, or is evaluated against, a defined set of nutritional guidelines or requirements.
-
E.
nutritionMode
Indicates the way an entity obtains or processes nutrients for sustenance or growth.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b9242c81908dbf3fa155159b3c |
completed | April 9, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:15 p.m.