Triple
T16285308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adtalem Global Education |
E395374
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Association of Certified Anti-Money Laundering Specialists
The Association of Certified Anti-Money Laundering Specialists (ACAMS) is a leading international membership organization that provides training, certification, and resources for professionals combating money laundering and financial crime.
|
E1204508
|
NE FINISHED |
How this triple was built (4 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: Association of Certified Anti-Money Laundering Specialists | Statement: [Adtalem Global Education, owns, Association of Certified Anti-Money Laundering Specialists]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Association of Certified Anti-Money Laundering Specialists Context triple: [Adtalem Global Education, owns, Association of Certified Anti-Money Laundering Specialists]
-
A.
Anti-Money Laundering Control Authority
The Anti-Money Laundering Control Authority was a former Swiss regulatory body responsible for overseeing and enforcing anti-money laundering measures in the country’s financial sector.
-
B.
FDLP Academy
FDLP Academy is an educational initiative that provides training and resources to support libraries and information professionals in accessing and using U.S. government information.
-
C.
Committee of Experts on the Evaluation of Anti-Money Laundering Measures and the Financing of Terrorism
The Committee of Experts on the Evaluation of Anti-Money Laundering Measures and the Financing of Terrorism (MONEYVAL) is a Council of Europe body that assesses member states’ compliance with international standards to combat money laundering and terrorist financing.
-
D.
Annunzio-Wylie Anti-Money Laundering Act
The Annunzio-Wylie Anti-Money Laundering Act is a 1992 U.S. federal law that strengthened anti-money laundering controls, expanded reporting requirements, and enhanced enforcement powers against financial crimes.
-
E.
Financial Action Task Force
The Financial Action Task Force is an intergovernmental body that develops and promotes global standards to combat money laundering, terrorist financing, and related financial crimes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Association of Certified Anti-Money Laundering Specialists Triple: [Adtalem Global Education, owns, Association of Certified Anti-Money Laundering Specialists]
Generated description
The Association of Certified Anti-Money Laundering Specialists (ACAMS) is a leading international membership organization that provides training, certification, and resources for professionals combating money laundering and financial crime.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Association of Certified Anti-Money Laundering Specialists Target entity description: The Association of Certified Anti-Money Laundering Specialists (ACAMS) is a leading international membership organization that provides training, certification, and resources for professionals combating money laundering and financial crime.
-
A.
Anti-Money Laundering Control Authority
The Anti-Money Laundering Control Authority was a former Swiss regulatory body responsible for overseeing and enforcing anti-money laundering measures in the country’s financial sector.
-
B.
FDLP Academy
FDLP Academy is an educational initiative that provides training and resources to support libraries and information professionals in accessing and using U.S. government information.
-
C.
Committee of Experts on the Evaluation of Anti-Money Laundering Measures and the Financing of Terrorism
The Committee of Experts on the Evaluation of Anti-Money Laundering Measures and the Financing of Terrorism (MONEYVAL) is a Council of Europe body that assesses member states’ compliance with international standards to combat money laundering and terrorist financing.
-
D.
Annunzio-Wylie Anti-Money Laundering Act
The Annunzio-Wylie Anti-Money Laundering Act is a 1992 U.S. federal law that strengthened anti-money laundering controls, expanded reporting requirements, and enhanced enforcement powers against financial crimes.
-
E.
Financial Action Task Force
The Financial Action Task Force is an intergovernmental body that develops and promotes global standards to combat money laundering, terrorist financing, and related financial crimes.
- F. None of above. chosen
Provenance (5 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24913a55081909a9a5a7a7f4806cc |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c8f51c8190b73cdf2834eda57f |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0019c847a0819081b92e21ced73824 |
completed | May 10, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a7dcf888190b66122f2bfc7388b |
completed | May 10, 2026, 5:41 a.m. |
Created at: April 10, 2026, 5:05 a.m.