Triple

T22936762
Position Surface form Disambiguated ID Type / Status
Subject Alex Rampell E569606 entity
Predicate coFounded P104 FINISHED
Object FraudEliminator — NE NERFINISHED

How this triple was built (3 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: FraudEliminator | Statement: [Alex Rampell, coFounded, FraudEliminator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FraudEliminator
Context triple: [Alex Rampell, coFounded, FraudEliminator]
  • A. fraud.org
    fraud.org is a consumer advocacy website that provides information, education, and reporting tools to help people recognize, avoid, and report scams and fraudulent practices.
  • B. RSA Fraud and Risk Intelligence
    RSA Fraud and Risk Intelligence is a cybersecurity solution focused on detecting, preventing, and managing online fraud and digital risks for organizations.
  • C. 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.
  • D. Unit for the Coordination of Fraud Prevention
    The Unit for the Coordination of Fraud Prevention was an early European Union body responsible for coordinating efforts to protect the EU’s financial interests and combat fraud before being succeeded by the European Anti-Fraud Office (OLAF).
  • E. Fraud Section
    The Fraud Section is a specialized unit within the U.S. Department of Justice that investigates and prosecutes complex financial and corporate fraud, including securities, health care, and foreign bribery offenses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FraudEliminator
Target entity description: FraudEliminator is a fraud-detection and prevention company co-founded by fintech entrepreneur and investor Alex Rampell.
  • A. fraud.org
    fraud.org is a consumer advocacy website that provides information, education, and reporting tools to help people recognize, avoid, and report scams and fraudulent practices.
  • B. RSA Fraud and Risk Intelligence
    RSA Fraud and Risk Intelligence is a cybersecurity solution focused on detecting, preventing, and managing online fraud and digital risks for organizations.
  • C. 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.
  • D. Unit for the Coordination of Fraud Prevention
    The Unit for the Coordination of Fraud Prevention was an early European Union body responsible for coordinating efforts to protect the EU’s financial interests and combat fraud before being succeeded by the European Anti-Fraud Office (OLAF).
  • E. Fraud Section
    The Fraud Section is a specialized unit within the U.S. Department of Justice that investigates and prosecutes complex financial and corporate fraud, including securities, health care, and foreign bribery offenses.
  • F. None of above. chosen

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813608e48190922df7a5386dc391 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.