Triple
T11712223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Information Officers Council of the United States |
E278399
|
entity |
| Predicate | legalBasis |
P125
|
FINISHED |
| Object |
Federal Information Technology Acquisition Reform Act
The Federal Information Technology Acquisition Reform Act is a U.S. law that overhauled federal IT management and procurement to increase efficiency, accountability, and the authority of agency Chief Information Officers.
|
E942020
|
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: Federal Information Technology Acquisition Reform Act | Statement: [Chief Information Officers Council of the United States, legalBasis, Federal Information Technology Acquisition Reform Act]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Federal Information Technology Acquisition Reform Act Context triple: [Chief Information Officers Council of the United States, legalBasis, Federal Information Technology Acquisition Reform Act]
-
A.
Federal Information Security Management Act of 2002
The Federal Information Security Management Act of 2002 is a U.S. federal law that establishes a comprehensive framework for protecting government information systems and managing information security risks across federal agencies.
-
B.
Federal Information Security Modernization Act of 2014
The Federal Information Security Modernization Act of 2014 is a U.S. law that updates and strengthens federal government information security practices by clarifying agency responsibilities, enhancing oversight, and modernizing the framework for protecting federal information systems.
-
C.
Clinger–Cohen Act of 1996
The Clinger–Cohen Act of 1996 is a U.S. federal law that reformed how the government acquires, manages, and uses information technology by emphasizing performance-based management and the establishment of agency Chief Information Officers.
-
D.
E-Government Act of 2002
The E-Government Act of 2002 is a U.S. federal law that promotes the use of information technology to improve government services, management, and access to public information while strengthening privacy and security protections.
-
E.
Paperwork Reduction Act
The Paperwork Reduction Act is a U.S. federal law that aims to minimize the public’s reporting burden and improve the quality and coordination of information collected by government agencies.
- 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: Federal Information Technology Acquisition Reform Act Triple: [Chief Information Officers Council of the United States, legalBasis, Federal Information Technology Acquisition Reform Act]
Generated description
The Federal Information Technology Acquisition Reform Act is a U.S. law that overhauled federal IT management and procurement to increase efficiency, accountability, and the authority of agency Chief Information Officers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Federal Information Technology Acquisition Reform Act Target entity description: The Federal Information Technology Acquisition Reform Act is a U.S. law that overhauled federal IT management and procurement to increase efficiency, accountability, and the authority of agency Chief Information Officers.
-
A.
Federal Information Security Management Act of 2002
The Federal Information Security Management Act of 2002 is a U.S. federal law that establishes a comprehensive framework for protecting government information systems and managing information security risks across federal agencies.
-
B.
Federal Information Security Modernization Act of 2014
The Federal Information Security Modernization Act of 2014 is a U.S. law that updates and strengthens federal government information security practices by clarifying agency responsibilities, enhancing oversight, and modernizing the framework for protecting federal information systems.
-
C.
Clinger–Cohen Act of 1996
The Clinger–Cohen Act of 1996 is a U.S. federal law that reformed how the government acquires, manages, and uses information technology by emphasizing performance-based management and the establishment of agency Chief Information Officers.
-
D.
E-Government Act of 2002
The E-Government Act of 2002 is a U.S. federal law that promotes the use of information technology to improve government services, management, and access to public information while strengthening privacy and security protections.
-
E.
Paperwork Reduction Act
The Paperwork Reduction Act is a U.S. federal law that aims to minimize the public’s reporting burden and improve the quality and coordination of information collected by government agencies.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef838562d08190b9a764e88c50d423 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef9b68309081909f3f614efeeb2ab1 |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd6aba82c81909ff22e6b26db3cfe |
completed | April 27, 2026, 9:35 p.m. |
Created at: April 8, 2026, 9:40 p.m.