Triple
T34103415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1A Car Wash |
E874635
|
entity |
| Predicate | usedToLaunderMoneyFor |
P120322
|
FINISHED |
| Object | Walter White's methamphetamine operation |
—
|
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: Walter White's methamphetamine operation | Statement: [A1A Car Wash, usedToLaunderMoneyFor, Walter White's methamphetamine operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToLaunderMoneyFor Context triple: [A1A Car Wash, usedToLaunderMoneyFor, Walter White's methamphetamine operation]
-
A.
launderingMethod
Indicates the method or process used to carry out money laundering.
-
B.
exploitedFor
chosen
Indicates that one entity is unfairly or abusively used by another entity as a resource, means, or advantage for the latter’s benefit.
-
C.
antiMoneyLaunderingRegulator
Indicates that an entity serves as the authority responsible for overseeing and enforcing anti–money laundering regulations in relation to another entity or activity.
-
D.
isExploitedFor
Indicates that one entity is unfairly or abusively used by another entity as a resource, means, or advantage for the latter’s benefit.
-
E.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: May 1, 2026, 1:53 a.m.