Triple
T7432936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walton-Penner Family Ownership Group |
E171534
|
entity |
| Predicate | wealthSourceOfPrincipals |
P9503
|
FINISHED |
| Object | Walmart family fortune |
—
|
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: Walmart family fortune | Statement: [Walton-Penner Family Ownership Group, wealthSourceOfPrincipals, Walmart family fortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wealthSourceOfPrincipals Context triple: [Walton-Penner Family Ownership Group, wealthSourceOfPrincipals, Walmart family fortune]
-
A.
wealthSource
Indicates the relationship by which an entity obtains or derives its wealth from a particular source.
-
B.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
C.
sourceOfCapital
Indicates the origin or provider from which an entity obtains its financial capital or funding.
-
D.
revenueSources
Indicates the relationship identifying where an entity’s revenue comes from or the different streams that generate its income.
-
E.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f325ea908190b668fd4ce646f1e6 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.