Triple
T4256339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal Restrepo |
E95982
|
entity |
| Predicate | hasPublication |
P80
|
FINISHED |
| Object |
Robots and Jobs: Evidence from US Labor Markets
"Robots and Jobs: Evidence from US Labor Markets" is an influential economics paper that empirically examines how the adoption of industrial robots affects employment and wages across U.S. labor markets.
|
E424745
|
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: Robots and Jobs: Evidence from US Labor Markets | Statement: [Pascal Restrepo, hasPublication, Robots and Jobs: Evidence from US Labor Markets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robots and Jobs: Evidence from US Labor Markets Context triple: [Pascal Restrepo, hasPublication, Robots and Jobs: Evidence from US Labor Markets]
-
A.
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.
-
B.
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.
-
C.
Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?
"Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?" is an influential macroeconomics paper by Jordi Galí that empirically evaluates the ability of real business cycle models driven by technology shocks to explain postwar U.S. economic fluctuations.
-
D.
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.
-
E.
The Age of Em: Work, Love, and Life when Robots Rule the Earth
The Age of Em: Work, Love, and Life when Robots Rule the Earth is a speculative nonfiction book that explores a future society dominated by brain-emulation-based robots and examines how this transformation would reshape economics, work, and human relationships.
- 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: Robots and Jobs: Evidence from US Labor Markets Triple: [Pascal Restrepo, hasPublication, Robots and Jobs: Evidence from US Labor Markets]
Generated description
"Robots and Jobs: Evidence from US Labor Markets" is an influential economics paper that empirically examines how the adoption of industrial robots affects employment and wages across U.S. labor markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robots and Jobs: Evidence from US Labor Markets Target entity description: "Robots and Jobs: Evidence from US Labor Markets" is an influential economics paper that empirically examines how the adoption of industrial robots affects employment and wages across U.S. labor markets.
-
A.
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.
-
B.
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.
-
C.
Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?
"Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?" is an influential macroeconomics paper by Jordi Galí that empirically evaluates the ability of real business cycle models driven by technology shocks to explain postwar U.S. economic fluctuations.
-
D.
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.
-
E.
The Age of Em: Work, Love, and Life when Robots Rule the Earth
The Age of Em: Work, Love, and Life when Robots Rule the Earth is a speculative nonfiction book that explores a future society dominated by brain-emulation-based robots and examines how this transformation would reshape economics, work, and human relationships.
- 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.