Triple
T8305300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annunzio-Wylie Anti-Money Laundering Act |
E194448
|
entity |
| Predicate | enhancesPowersOf |
P82640
|
FINISHED |
| Object | federal banking regulators |
—
|
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: federal banking regulators | Statement: [Annunzio-Wylie Anti-Money Laundering Act, enhancesPowersOf, federal banking regulators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enhancesPowersOf Context triple: [Annunzio-Wylie Anti-Money Laundering Act, enhancesPowersOf, federal banking regulators]
-
A.
powerUp
Indicates an action where an entity increases or restores another entity’s energy, strength, or functional capacity.
-
B.
invokesPower
Indicates that one entity calls upon, activates, or makes use of the power, authority, or special ability associated with another entity.
-
C.
powerUpBehavior
Indicates how an entity changes state or acts when it gains a power-up or temporary enhancement.
-
D.
powerBy
Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
-
E.
methodOfGainingPower
Indicates the way or process through which an entity acquires or increases power.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e8db3a8819083772db5c7a2454b |
completed | March 31, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:54 p.m.