Triple
T28226659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newman's Own |
E711605
|
entity |
| Predicate | charityModel |
P164661
|
FINISHED |
| Object | all profits to charity after taxes and expenses |
—
|
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: all profits to charity after taxes and expenses | Statement: [Newman's Own, charityModel, all profits to charity after taxes and expenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charityModel Context triple: [Newman's Own, charityModel, all profits to charity after taxes and expenses]
-
A.
charityComponent
Indicates that one entity functions as a charitable element, feature, or part within another entity or larger arrangement.
-
B.
charityCategory
Indicates the specific type or classification of charitable activity or purpose associated with an entity.
-
C.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
-
D.
charityNumber
Indicates that an entity is associated with a specific registered charity identification number.
-
E.
showsCharityTo
Indicates that one entity performs benevolent or generous actions for the benefit of another entity.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 27, 2026, 10:50 p.m.