Triple
T8349471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Statistical Association |
E196122
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object |
Journal of the American Statistical Association
The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
|
E728771
|
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 the American Statistical Association | Statement: [American Statistical Association, publishes, Journal of the American Statistical Association]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Journal of the American Statistical Association Context triple: [American Statistical Association, publishes, Journal of the American Statistical Association]
-
A.
American Statistical Association
The American Statistical Association is the primary professional organization in the United States dedicated to advancing the practice and profession of statistics through publications, conferences, education, and advocacy.
-
B.
Institute of Mathematical Statistics
The Institute of Mathematical Statistics is a leading international professional society dedicated to the development and dissemination of theory and applications in statistics and probability.
-
C.
Biometrika
Biometrika is a leading peer-reviewed scientific journal specializing in theoretical statistics and probability.
-
D.
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.
-
E.
Econometrica
Econometrica is a leading peer-reviewed academic journal in economics, particularly renowned for publishing foundational work in economic theory and econometrics.
- 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 the American Statistical Association Triple: [American Statistical Association, publishes, Journal of the American Statistical Association]
Generated description
The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Journal of the American Statistical Association Target entity description: The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
-
A.
American Statistical Association
The American Statistical Association is the primary professional organization in the United States dedicated to advancing the practice and profession of statistics through publications, conferences, education, and advocacy.
-
B.
Institute of Mathematical Statistics
The Institute of Mathematical Statistics is a leading international professional society dedicated to the development and dissemination of theory and applications in statistics and probability.
-
C.
Biometrika
Biometrika is a leading peer-reviewed scientific journal specializing in theoretical statistics and probability.
-
D.
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.
-
E.
Econometrica
Econometrica is a leading peer-reviewed academic journal in economics, particularly renowned for publishing foundational work in economic theory and econometrics.
- 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.