Triple
T8349495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Statistical Association |
E196122
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Statement on p-values and statistical significance
The "Statement on p-values and statistical significance" is a landmark American Statistical Association document that clarifies the proper use and interpretation of p-values and cautions against their misuse in scientific research and decision-making.
|
E728779
|
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: Statement on p-values and statistical significance | Statement: [American Statistical Association, notableWork, Statement on p-values and statistical significance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Statement on p-values and statistical significance Context triple: [American Statistical Association, notableWork, Statement on p-values and statistical significance]
-
A.
Neyman–Pearson theory of hypothesis testing
The Neyman–Pearson theory of hypothesis testing is a foundational statistical framework that formalizes how to construct and evaluate tests for competing hypotheses using concepts like Type I and Type II errors and power.
-
B.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
-
C.
“Statistical Confluence Analysis by Means of Complete Regression Systems”
“Statistical Confluence Analysis by Means of Complete Regression Systems” is a foundational econometric work by Ragnar Frisch that develops a systematic regression-based framework for analyzing interdependent economic relationships.
-
D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
E.
Illustrations of the Logic of Science
Illustrations of the Logic of Science is a series of influential essays by Charles Sanders Peirce that helped lay the foundations of modern logic, scientific methodology, and pragmatism.
- 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: Statement on p-values and statistical significance Triple: [American Statistical Association, notableWork, Statement on p-values and statistical significance]
Generated description
The "Statement on p-values and statistical significance" is a landmark American Statistical Association document that clarifies the proper use and interpretation of p-values and cautions against their misuse in scientific research and decision-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Statement on p-values and statistical significance Target entity description: The "Statement on p-values and statistical significance" is a landmark American Statistical Association document that clarifies the proper use and interpretation of p-values and cautions against their misuse in scientific research and decision-making.
-
A.
Neyman–Pearson theory of hypothesis testing
The Neyman–Pearson theory of hypothesis testing is a foundational statistical framework that formalizes how to construct and evaluate tests for competing hypotheses using concepts like Type I and Type II errors and power.
-
B.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
-
C.
“Statistical Confluence Analysis by Means of Complete Regression Systems”
“Statistical Confluence Analysis by Means of Complete Regression Systems” is a foundational econometric work by Ragnar Frisch that develops a systematic regression-based framework for analyzing interdependent economic relationships.
-
D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
E.
Illustrations of the Logic of Science
Illustrations of the Logic of Science is a series of influential essays by Charles Sanders Peirce that helped lay the foundations of modern logic, scientific methodology, and pragmatism.
- 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.