Triple
T9791337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No FEAR Act of 2002 |
E237613
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002
The Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002 (No FEAR Act) is a U.S. federal law designed to hold agencies accountable for violations of anti-discrimination and whistleblower protection laws by increasing transparency, reporting, and financial consequences.
|
E821935
|
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: Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002 | Statement: [No FEAR Act of 2002, fullName, Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002 Context triple: [No FEAR Act of 2002, fullName, Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002]
-
A.
Federal Employee Antidiscrimination Act of 2019
The Federal Employee Antidiscrimination Act of 2019 is a U.S. law that strengthens protections, reporting requirements, and accountability measures related to discrimination and retaliation against federal employees.
-
B.
Federal Employees Liability Reform and Tort Compensation Act
The Federal Employees Liability Reform and Tort Compensation Act is a U.S. statute that makes the federal government, rather than individual federal employees, the defendant in most tort lawsuits arising from employees’ official acts.
-
C.
Whistleblower Protection Enhancement Act
The Whistleblower Protection Enhancement Act is a U.S. federal law that strengthens and clarifies protections for government employees who disclose waste, fraud, abuse, or other wrongdoing, expanding their rights and remedies against retaliation.
-
D.
Whistleblower Protection Act
The Whistleblower Protection Act is a U.S. federal law that safeguards federal employees who disclose evidence of wrongdoing from retaliation by their employers.
-
E.
Lilly Ledbetter Fair Pay Act of 2009
The Lilly Ledbetter Fair Pay Act of 2009 is a U.S. federal law that restores and strengthens workers’ ability to challenge unequal pay by resetting the statute of limitations with each discriminatory paycheck.
- 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: Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002 Triple: [No FEAR Act of 2002, fullName, Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002]
Generated description
The Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002 (No FEAR Act) is a U.S. federal law designed to hold agencies accountable for violations of anti-discrimination and whistleblower protection laws by increasing transparency, reporting, and financial consequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002 Target entity description: The Notification and Federal Employee Antidiscrimination and Retaliation Act of 2002 (No FEAR Act) is a U.S. federal law designed to hold agencies accountable for violations of anti-discrimination and whistleblower protection laws by increasing transparency, reporting, and financial consequences.
-
A.
Federal Employee Antidiscrimination Act of 2019
The Federal Employee Antidiscrimination Act of 2019 is a U.S. law that strengthens protections, reporting requirements, and accountability measures related to discrimination and retaliation against federal employees.
-
B.
Federal Employees Liability Reform and Tort Compensation Act
The Federal Employees Liability Reform and Tort Compensation Act is a U.S. statute that makes the federal government, rather than individual federal employees, the defendant in most tort lawsuits arising from employees’ official acts.
-
C.
Whistleblower Protection Enhancement Act
The Whistleblower Protection Enhancement Act is a U.S. federal law that strengthens and clarifies protections for government employees who disclose waste, fraud, abuse, or other wrongdoing, expanding their rights and remedies against retaliation.
-
D.
Whistleblower Protection Act
The Whistleblower Protection Act is a U.S. federal law that safeguards federal employees who disclose evidence of wrongdoing from retaliation by their employers.
-
E.
Lilly Ledbetter Fair Pay Act of 2009
The Lilly Ledbetter Fair Pay Act of 2009 is a U.S. federal law that restores and strengthens workers’ ability to challenge unequal pay by resetting the statute of limitations with each discriminatory paycheck.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda3456bac819097afb20ce9081dd7 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43141cc81908c45a3f5d5103564 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4b07cec8190a2e6c49efad3a841 |
completed | April 5, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c547a9808190b96face03c4203b0 |
completed | April 5, 2026, 2:13 a.m. |
Created at: March 30, 2026, 8:28 p.m.