Triple

T23204490
Position Surface form Disambiguated ID Type / Status
Subject Emily Jenkins E580411 entity
Predicate notableWork P4 FINISHED
Object Genuine Fraud 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: Genuine Fraud | Statement: [Emily Jenkins, notableWork, Genuine Fraud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genuine Fraud
Context triple: [Emily Jenkins, notableWork, Genuine Fraud]
  • A. Frauds
    Frauds is a 1993 Australian black comedy film directed by Stephan Elliott, known for its darkly humorous take on crime and morality.
  • B. 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.
  • C. Special Fraud Alerts
    Special Fraud Alerts are official guidance documents issued by the HHS Office of Inspector General to warn healthcare providers and the public about practices that may constitute fraud or abuse in federal health care programs.
  • D. Action Fraud
    Action Fraud is the UK’s national reporting centre for fraud and cybercrime, providing a central point for individuals and businesses to report scams and related offences.
  • E. 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.
  • 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: Genuine Fraud
Target entity description: Genuine Fraud is a psychological suspense novel by E. Lockhart that follows a cunning young woman who constantly reinvents her identity through a twisty, reverse-chronological narrative.
  • A. Frauds
    Frauds is a 1993 Australian black comedy film directed by Stephan Elliott, known for its darkly humorous take on crime and morality.
  • B. 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.
  • C. Special Fraud Alerts
    Special Fraud Alerts are official guidance documents issued by the HHS Office of Inspector General to warn healthcare providers and the public about practices that may constitute fraud or abuse in federal health care programs.
  • D. Action Fraud
    Action Fraud is the UK’s national reporting centre for fraud and cybercrime, providing a central point for individuals and businesses to report scams and related offences.
  • E. 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.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907c1d7c8190aca252a39ae0da86 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.