Triple
T4256350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal Restrepo |
E95982
|
entity |
| Predicate | hasPublication |
P80
|
FINISHED |
| Object |
The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand
"The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand" is an economics research paper analyzing how different types of AI technologies affect labor demand, employment, and wage dynamics.
|
E424750
|
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: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand | Statement: [Pascal Restrepo, hasPublication, The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand Context triple: [Pascal Restrepo, hasPublication, The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand]
-
A.
Frisch elasticity of labor supply
The Frisch elasticity of labor supply is an economic measure that captures how responsive individuals’ labor supply is to changes in wages when their expected lifetime wealth is held constant.
-
B.
Learning and Labor
Learning and Labor is the historic motto of Oberlin College, reflecting its emphasis on combining rigorous academic study with practical work and social responsibility.
-
C.
Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?
"Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?" is an influential macroeconomics paper by Jordi Galí that empirically investigates how technology shocks affect employment and output over the business cycle.
-
D.
Activity Analysis of Production and Allocation
"Activity Analysis of Production and Allocation" is a foundational work in mathematical economics that develops linear programming and activity analysis methods to study production efficiency and resource allocation.
-
E.
American Economic Journal: Applied Economics
American Economic Journal: Applied Economics is a peer-reviewed academic journal focusing on empirical microeconomic research and real-world policy applications.
- 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: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand Triple: [Pascal Restrepo, hasPublication, The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand]
Generated description
"The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand" is an economics research paper analyzing how different types of AI technologies affect labor demand, employment, and wage dynamics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand Target entity description: "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand" is an economics research paper analyzing how different types of AI technologies affect labor demand, employment, and wage dynamics.
-
A.
Frisch elasticity of labor supply
The Frisch elasticity of labor supply is an economic measure that captures how responsive individuals’ labor supply is to changes in wages when their expected lifetime wealth is held constant.
-
B.
Learning and Labor
Learning and Labor is the historic motto of Oberlin College, reflecting its emphasis on combining rigorous academic study with practical work and social responsibility.
-
C.
Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?
"Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?" is an influential macroeconomics paper by Jordi Galí that empirically investigates how technology shocks affect employment and output over the business cycle.
-
D.
Activity Analysis of Production and Allocation
"Activity Analysis of Production and Allocation" is a foundational work in mathematical economics that develops linear programming and activity analysis methods to study production efficiency and resource allocation.
-
E.
American Economic Journal: Applied Economics
American Economic Journal: Applied Economics is a peer-reviewed academic journal focusing on empirical microeconomic research and real-world policy applications.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec1971c81908f7a72418efa8bcc |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88a68f081909e5bae5b0414f534 |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a94e637881909a20bb1df0cd5768 |
completed | March 14, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9d9b28081909d7dc97b02209318 |
completed | March 14, 2026, 6:32 p.m. |
Created at: March 12, 2026, 11:06 p.m.