Triple
T17444757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand |
E424750
|
entity |
| Predicate | titleContains |
P3254
|
FINISHED |
| Object | Artificial Intelligence and the Future of Labor Demand |
—
|
NE NERFINISHED |
How this triple was built (2 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: Artificial Intelligence and the Future of Labor Demand | Statement: [The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand, titleContains, Artificial Intelligence and the Future of Labor Demand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artificial Intelligence and the Future of Labor Demand Context triple: [The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand, titleContains, Artificial Intelligence and the Future of Labor Demand]
-
A.
The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand
chosen
"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.
-
B.
Artificial Intelligence, Automation, and Work
"Artificial Intelligence, Automation, and Work" is a scholarly publication examining how advances in AI and automation technologies affect labor markets, employment, and the nature of work.
-
C.
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.
-
D.
The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment
"The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment" is an economics paper analyzing how advancing automation and artificial intelligence affect economic growth, the distribution of income between labor and capital, and employment outcomes.
-
E.
Tasks, Automation, and the Rise in US Wage Inequality
"Tasks, Automation, and the Rise in US Wage Inequality" is an economics research paper analyzing how technological change and the automation of specific job tasks have contributed to growing wage inequality in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.