Triple

T3148594
Position Surface form Disambiguated ID Type / Status
Subject Corporate Transparency Act E65821 entity
Predicate administeredBy P86 FINISHED
Object Financial Crimes Enforcement Network beneficial ownership information database
The Financial Crimes Enforcement Network beneficial ownership information database is a centralized, confidential U.S. government system that collects and stores information on the true owners of certain companies to help combat money laundering, terrorism financing, and other financial crimes.
E65821 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: Financial Crimes Enforcement Network beneficial ownership information database | Statement: [Corporate Transparency Act, administeredBy, Financial Crimes Enforcement Network beneficial ownership information database]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Financial Crimes Enforcement Network beneficial ownership information database
Context triple: [Corporate Transparency Act, administeredBy, Financial Crimes Enforcement Network beneficial ownership information database]
  • A. Corporate Transparency Act
    The Corporate Transparency Act is a U.S. law that requires many companies to disclose their beneficial owners to the federal government to combat money laundering, terrorism financing, and other illicit financial activities.
  • B. EDGAR
    EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
  • C. Foreign Bank and Financial Accounts Reports
    Foreign Bank and Financial Accounts Reports are mandatory U.S. filings that disclose individuals’ and entities’ financial interests in or authority over foreign bank and financial accounts to help prevent tax evasion and financial crimes.
  • D. Trade Reporting and Compliance Engine
    The Trade Reporting and Compliance Engine (TRACE) is FINRA’s centralized system for collecting and disseminating real-time transaction data on U.S. corporate and other fixed-income securities to enhance market transparency and regulatory oversight.
  • E. BrokerCheck
    BrokerCheck is an online tool that provides background information on brokerage firms and financial advisors to help investors research their professional history and regulatory records.
  • 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: Financial Crimes Enforcement Network beneficial ownership information database
Triple: [Corporate Transparency Act, administeredBy, Financial Crimes Enforcement Network beneficial ownership information database]
Generated description
The Financial Crimes Enforcement Network beneficial ownership information database is a centralized, confidential U.S. government system that collects and stores information on the true owners of certain companies to help combat money laundering, terrorism financing, and other financial crimes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Financial Crimes Enforcement Network beneficial ownership information database
Target entity description: The Financial Crimes Enforcement Network beneficial ownership information database is a centralized, confidential U.S. government system that collects and stores information on the true owners of certain companies to help combat money laundering, terrorism financing, and other financial crimes.
  • A. Corporate Transparency Act chosen
    The Corporate Transparency Act is a U.S. law that requires many companies to disclose their beneficial owners to the federal government to combat money laundering, terrorism financing, and other illicit financial activities.
  • B. EDGAR
    EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
  • C. Foreign Bank and Financial Accounts Reports
    Foreign Bank and Financial Accounts Reports are mandatory U.S. filings that disclose individuals’ and entities’ financial interests in or authority over foreign bank and financial accounts to help prevent tax evasion and financial crimes.
  • D. Trade Reporting and Compliance Engine
    The Trade Reporting and Compliance Engine (TRACE) is FINRA’s centralized system for collecting and disseminating real-time transaction data on U.S. corporate and other fixed-income securities to enhance market transparency and regulatory oversight.
  • E. BrokerCheck
    BrokerCheck is an online tool that provides background information on brokerage firms and financial advisors to help investors research their professional history and regulatory records.
  • F. None of above.

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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5be30fc819097edb620c65055d5 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225b27e1c8190a3df0d4692ee66c6 completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b226339e4881908690f7ea7a7bd50c completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.