Triple
T1022565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Federal Statistical System |
E22070
|
entity |
| Predicate | componentAgency |
P23339
|
FINISHED |
| Object |
Office of Research, Evaluation, and Statistics, Social Security Administration
The Office of Research, Evaluation, and Statistics of the Social Security Administration is a federal statistical agency responsible for producing data, research, and policy analysis on Social Security programs and beneficiaries.
|
E3769
|
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: Office of Research, Evaluation, and Statistics, Social Security Administration | Statement: [U.S. Federal Statistical System, componentAgency, Office of Research, Evaluation, and Statistics, Social Security Administration]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Office of Research, Evaluation, and Statistics, Social Security Administration Context triple: [U.S. Federal Statistical System, componentAgency, Office of Research, Evaluation, and Statistics, Social Security Administration]
-
A.
Department of Social Security
The Department of Social Security was a former UK government department responsible for administering social security benefits and welfare payments before its functions were absorbed into successor bodies.
-
B.
Office of Evaluation Sciences
The Office of Evaluation Sciences is a U.S. federal government team that applies behavioral and social science research methods to improve public programs and policies.
-
C.
Social Security Administration
The Social Security Administration is an independent U.S. government agency that oversees and delivers retirement, disability, and survivors’ benefits to eligible individuals.
-
D.
Statistical Research Center
The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
-
E.
United States Department of Labor
The United States Department of Labor is a federal executive department responsible for promoting the welfare of wage earners, improving working conditions, and overseeing labor-related laws and programs in the United States.
- 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: Office of Research, Evaluation, and Statistics, Social Security Administration Triple: [U.S. Federal Statistical System, componentAgency, Office of Research, Evaluation, and Statistics, Social Security Administration]
Generated description
The Office of Research, Evaluation, and Statistics of the Social Security Administration is a federal statistical agency responsible for producing data, research, and policy analysis on Social Security programs and beneficiaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Office of Research, Evaluation, and Statistics, Social Security Administration Target entity description: The Office of Research, Evaluation, and Statistics of the Social Security Administration is a federal statistical agency responsible for producing data, research, and policy analysis on Social Security programs and beneficiaries.
-
A.
Department of Social Security
The Department of Social Security was a former UK government department responsible for administering social security benefits and welfare payments before its functions were absorbed into successor bodies.
-
B.
Office of Evaluation Sciences
The Office of Evaluation Sciences is a U.S. federal government team that applies behavioral and social science research methods to improve public programs and policies.
-
C.
Social Security Administration
chosen
The Social Security Administration is an independent U.S. government agency that oversees and delivers retirement, disability, and survivors’ benefits to eligible individuals.
-
D.
Statistical Research Center
The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
-
E.
United States Department of Labor
The United States Department of Labor is a federal executive department responsible for promoting the welfare of wage earners, improving working conditions, and overseeing labor-related laws and programs in the United States.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bb71e7f88190bf33bbe5ef2c68ff |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb63f14819098f5e32af3b98508 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3de4fbb88190855cf92af51fe70b |
completed | March 7, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e45d9e88190bc88d037c00c3ecc |
completed | March 7, 2026, 3:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.