Triple
T11507943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert J. Barro |
E272833
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Barro growth regressions
Barro growth regressions are influential empirical models in macroeconomics that analyze the determinants of long-run economic growth across countries using cross-country regression techniques.
|
E930429
|
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: Barro growth regressions | Statement: [Robert J. Barro, knownFor, Barro growth regressions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barro growth regressions Context triple: [Robert J. Barro, knownFor, Barro growth regressions]
-
A.
Barro
Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Econometric Model of the United States
Econometric Model of the United States is a large-scale macroeconometric model developed to analyze and forecast the U.S. economy, particularly associated with the pioneering work of economist Lawrence Klein.
-
C.
Kaldor’s stylized facts of economic growth
Kaldor’s stylized facts of economic growth are a set of empirical regularities about long-run economic development—such as stable capital-output ratios and rising labor productivity—that guided modern theories of growth and distribution.
-
D.
Introduction to Modern Economic Growth
Introduction to Modern Economic Growth is a comprehensive graduate-level textbook that rigorously develops the theory and empirics of long-run economic growth, with a strong emphasis on microfoundations and institutional factors.
-
E.
“On the Mechanics of Economic Development”
“On the Mechanics of Economic Development” is a seminal 1988 paper by economist Robert Lucas Jr. that helped found modern endogenous growth theory by explaining how human capital accumulation and externalities drive long-run economic growth.
- 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: Barro growth regressions Triple: [Robert J. Barro, knownFor, Barro growth regressions]
Generated description
Barro growth regressions are influential empirical models in macroeconomics that analyze the determinants of long-run economic growth across countries using cross-country regression techniques.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barro growth regressions Target entity description: Barro growth regressions are influential empirical models in macroeconomics that analyze the determinants of long-run economic growth across countries using cross-country regression techniques.
-
A.
Barro
Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Econometric Model of the United States
Econometric Model of the United States is a large-scale macroeconometric model developed to analyze and forecast the U.S. economy, particularly associated with the pioneering work of economist Lawrence Klein.
-
C.
Kaldor’s stylized facts of economic growth
Kaldor’s stylized facts of economic growth are a set of empirical regularities about long-run economic development—such as stable capital-output ratios and rising labor productivity—that guided modern theories of growth and distribution.
-
D.
Introduction to Modern Economic Growth
Introduction to Modern Economic Growth is a comprehensive graduate-level textbook that rigorously develops the theory and empirics of long-run economic growth, with a strong emphasis on microfoundations and institutional factors.
-
E.
“On the Mechanics of Economic Development”
“On the Mechanics of Economic Development” is a seminal 1988 paper by economist Robert Lucas Jr. that helped found modern endogenous growth theory by explaining how human capital accumulation and externalities drive long-run economic growth.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624f5c9608190bde28a59860b3c93 |
completed | April 20, 2026, 1:07 p.m. |
| NEDg | Description generation | batch_69e62cf44018819094818f11ac653763 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e674c3a98c8190b32dc6879cb3a5f9 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 8, 2026, 9:36 p.m.