Triple
T18208126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People for the Ethical Treatment of Animals |
E435958
|
entity |
| Predicate | advocatesDiet |
P95772
|
FINISHED |
| Object | vegan 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: vegan diet | Statement: [People for the Ethical Treatment of Animals, advocatesDiet, vegan diet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advocatesDiet Context triple: [People for the Ethical Treatment of Animals, advocatesDiet, vegan diet]
-
A.
dietAdvocated
chosen
Indicates that one entity promotes, recommends, or supports a particular diet for another entity or audience.
-
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.
diet
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
E.
characterizesDietAs
Indicates that one entity describes, defines, or assigns the type or nature of another entity’s diet.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2261a848190b62a8485009f8f38 |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.