Triple

T8349473
Position Surface form Disambiguated ID Type / Status
Subject American Statistical Association E196122 entity
Predicate publishes P80 FINISHED
Object Journal of Business & Economic Statistics
The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
 E728772 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: Journal of Business & Economic Statistics | Statement: [American Statistical Association, publishes, Journal of Business & Economic Statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Journal of Business & Economic Statistics
Context triple: [American Statistical Association, publishes, Journal of Business & Economic Statistics]
  • A. Econometrica
    Econometrica is a leading peer-reviewed academic journal in economics, particularly renowned for publishing foundational work in economic theory and econometrics.
  • B. INFORMS Journal on Applied Analytics
    INFORMS Journal on Applied Analytics is a peer-reviewed academic journal that focuses on real-world applications of operations research and analytics to improve decision-making in business, government, and industry.
  • C. 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.
  • D. Journal of Economic Literature
    The Journal of Economic Literature is a leading peer-reviewed academic journal that surveys and synthesizes research across all fields of economics, providing authoritative reviews and bibliographic overviews for scholars and practitioners.
  • E. Quantitative Economics
    Quantitative Economics is a peer-reviewed open-access journal of the Econometric Society that publishes research in econometrics and quantitative economic theory.
  • 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: Journal of Business & Economic Statistics
Triple: [American Statistical Association, publishes, Journal of Business & Economic Statistics]
Generated description
The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Journal of Business & Economic Statistics
Target entity description: The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
  • A. Econometrica
    Econometrica is a leading peer-reviewed academic journal in economics, particularly renowned for publishing foundational work in economic theory and econometrics.
  • B. INFORMS Journal on Applied Analytics
    INFORMS Journal on Applied Analytics is a peer-reviewed academic journal that focuses on real-world applications of operations research and analytics to improve decision-making in business, government, and industry.
  • C. 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.
  • D. Journal of Economic Literature
    The Journal of Economic Literature is a leading peer-reviewed academic journal that surveys and synthesizes research across all fields of economics, providing authoritative reviews and bibliographic overviews for scholars and practitioners.
  • E. Quantitative Economics
    Quantitative Economics is a peer-reviewed open-access journal of the Econometric Society that publishes research in econometrics and quantitative economic theory.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8016c4188190a5ff93078e74dc39 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc74e11f881908b52d0ffea751c96 completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc8596888190867bb0f298b6fac1 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd14de9408190a5522fbdbef4d748 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 5:59 p.m.