Triple
T2650640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Inspector General (U.S. Department of Labor) |
E53888
|
entity |
| Predicate | hasHead |
P981
|
FINISHED |
| Object |
Inspector General of the U.S. Department of Labor
The Inspector General of the U.S. Department of Labor is the independent official responsible for overseeing audits, investigations, and evaluations to prevent waste, fraud, and abuse within the department’s programs and operations.
|
E58792
|
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: Inspector General of the U.S. Department of Labor | Statement: [Office of Inspector General (U.S. Department of Labor), hasHead, Inspector General of the U.S. Department of Labor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inspector General of the U.S. Department of Labor Context triple: [Office of Inspector General (U.S. Department of Labor), hasHead, Inspector General of the U.S. Department of Labor]
-
A.
Office of Inspector General of the U.S. Department of Labor
The Office of Inspector General of the U.S. Department of Labor is an independent oversight body that conducts audits, investigations, and evaluations to prevent fraud, waste, and abuse and to promote efficiency within the Department of Labor’s programs and operations.
-
B.
Chief Financial Officer of the U.S. Department of Labor
The Chief Financial Officer of the U.S. Department of Labor is the senior executive responsible for overseeing the department’s financial management, budgeting, and fiscal accountability.
-
C.
Chief Information Officer of the U.S. Department of Labor
The Chief Information Officer of the U.S. Department of Labor is the senior executive responsible for overseeing the department’s information technology strategy, systems, cybersecurity, and data management to support its mission and operations.
-
D.
Inspector General of the U.S. Department of Health and Human Services
The Inspector General of the U.S. Department of Health and Human Services is the chief oversight official responsible for auditing, investigating, and combating fraud, waste, and abuse within HHS programs and operations.
-
E.
Chief Human Capital Officer of the U.S. Department of Labor
The Chief Human Capital Officer of the U.S. Department of Labor is the senior executive responsible for overseeing the department’s workforce strategy, talent management, and human resources policies to support its mission and operations.
- 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: Inspector General of the U.S. Department of Labor Triple: [Office of Inspector General (U.S. Department of Labor), hasHead, Inspector General of the U.S. Department of Labor]
Generated description
The Inspector General of the U.S. Department of Labor is the independent official responsible for overseeing audits, investigations, and evaluations to prevent waste, fraud, and abuse within the department’s programs and operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inspector General of the U.S. Department of Labor Target entity description: The Inspector General of the U.S. Department of Labor is the independent official responsible for overseeing audits, investigations, and evaluations to prevent waste, fraud, and abuse within the department’s programs and operations.
-
A.
Office of Inspector General of the U.S. Department of Labor
chosen
The Office of Inspector General of the U.S. Department of Labor is an independent oversight body that conducts audits, investigations, and evaluations to prevent fraud, waste, and abuse and to promote efficiency within the Department of Labor’s programs and operations.
-
B.
Chief Financial Officer of the U.S. Department of Labor
The Chief Financial Officer of the U.S. Department of Labor is the senior executive responsible for overseeing the department’s financial management, budgeting, and fiscal accountability.
-
C.
Chief Information Officer of the U.S. Department of Labor
The Chief Information Officer of the U.S. Department of Labor is the senior executive responsible for overseeing the department’s information technology strategy, systems, cybersecurity, and data management to support its mission and operations.
-
D.
Inspector General of the U.S. Department of Health and Human Services
The Inspector General of the U.S. Department of Health and Human Services is the chief oversight official responsible for auditing, investigating, and combating fraud, waste, and abuse within HHS programs and operations.
-
E.
Chief Human Capital Officer of the U.S. Department of Labor
The Chief Human Capital Officer of the U.S. Department of Labor is the senior executive responsible for overseeing the department’s workforce strategy, talent management, and human resources policies to support its mission and operations.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd92f5f508190b4ca396c3f399e93 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa052c91c8190abfd49dbc62a4448 |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa0fef4c481908db42628cd6e72fe |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1fc3884819094503650206ec788 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:53 p.m.