Triple

T17444585

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment	`E424746`	entity
Predicate	hasTitle	`P38`	FINISHED
Object	The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment	`—`	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: The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment | Statement: [The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment, hasTitle, The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment
Context triple: [The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment, hasTitle, The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment]

A. The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment chosen
"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.
B. 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.
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. Explaining Technical Change
Explaining Technical Change is a scholarly work by Jon Elster that analyzes how and why technological innovations emerge and spread, using tools from rational choice theory and social science.
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.