Triple
T537150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherbert v. Verner |
E12350
|
entity |
| Predicate | respondent |
P2238
|
FINISHED |
| Object |
Verner, Administrator, Employment Security Commission of South Carolina
Verner, Administrator, Employment Security Commission of South Carolina, was the state official responsible for administering South Carolina’s unemployment benefits program and the named government respondent in the landmark U.S. Supreme Court religious freedom case Sherbert v. Verner.
|
E67056
|
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: Verner, Administrator, Employment Security Commission of South Carolina | Statement: [Sherbert v. Verner, respondent, Verner, Administrator, Employment Security Commission of South Carolina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verner, Administrator, Employment Security Commission of South Carolina Context triple: [Sherbert v. Verner, respondent, Verner, Administrator, Employment Security Commission of South Carolina]
-
A.
New York State civil service commissioner
The New York State civil service commissioner is a senior state official responsible for overseeing and regulating the merit-based employment system for New York State government workers.
-
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.
Oregon Commissioner of Labor and Industries
The Oregon Commissioner of Labor and Industries is a statewide elected official who oversees enforcement of labor laws, civil rights protections, and workplace regulations in Oregon.
-
E.
Massachusetts Court Administrator
The Massachusetts Court Administrator is the chief executive responsible for overseeing the administration, operations, and support services of the state’s court system.
- 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: Verner, Administrator, Employment Security Commission of South Carolina Triple: [Sherbert v. Verner, respondent, Verner, Administrator, Employment Security Commission of South Carolina]
Generated description
Verner, Administrator, Employment Security Commission of South Carolina, was the state official responsible for administering South Carolina’s unemployment benefits program and the named government respondent in the landmark U.S. Supreme Court religious freedom case Sherbert v. Verner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verner, Administrator, Employment Security Commission of South Carolina Target entity description: Verner, Administrator, Employment Security Commission of South Carolina, was the state official responsible for administering South Carolina’s unemployment benefits program and the named government respondent in the landmark U.S. Supreme Court religious freedom case Sherbert v. Verner.
-
A.
New York State civil service commissioner
The New York State civil service commissioner is a senior state official responsible for overseeing and regulating the merit-based employment system for New York State government workers.
-
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.
Oregon Commissioner of Labor and Industries
The Oregon Commissioner of Labor and Industries is a statewide elected official who oversees enforcement of labor laws, civil rights protections, and workplace regulations in Oregon.
-
E.
Massachusetts Court Administrator
The Massachusetts Court Administrator is the chief executive responsible for overseeing the administration, operations, and support services of the state’s court system.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496da8e108190b4874c3b85290464 |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c03256a08190955f8e8d5cda4b08 |
completed | March 1, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69a4c0d028c48190885a764277f9d28b |
completed | March 1, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c196fa948190b14aacba1276d353 |
completed | March 1, 2026, 10:45 p.m. |
Created at: March 1, 2026, 7:32 p.m.