Triple
T8912938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Design of Experiments |
E212225
|
entity |
| Predicate | hasNotableChapter |
P6720
|
FINISHED |
| Object |
The Simple Factorial Experiment
The Simple Factorial Experiment is a foundational chapter in R.A. Fisher’s "The Design of Experiments" that introduces and explains the basic principles and analysis of factorial experimental designs.
|
E212225
|
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: The Simple Factorial Experiment | Statement: [The Design of Experiments, hasNotableChapter, The Simple Factorial Experiment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Simple Factorial Experiment Context triple: [The Design of Experiments, hasNotableChapter, The Simple Factorial Experiment]
-
A.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
-
B.
“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.
-
C.
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.
-
D.
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.
-
E.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
- 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: The Simple Factorial Experiment Triple: [The Design of Experiments, hasNotableChapter, The Simple Factorial Experiment]
Generated description
The Simple Factorial Experiment is a foundational chapter in R.A. Fisher’s "The Design of Experiments" that introduces and explains the basic principles and analysis of factorial experimental designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Simple Factorial Experiment Target entity description: The Simple Factorial Experiment is a foundational chapter in R.A. Fisher’s "The Design of Experiments" that introduces and explains the basic principles and analysis of factorial experimental designs.
-
A.
The Design of Experiments
chosen
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
-
B.
“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.
-
C.
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.
-
D.
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.
-
E.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
- F. None of above.
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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660e620c8190b02b9843c8f02bfa |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba3c92c481909589e6a3c9469136 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbabf33a08190a18d13b9078c00e2 |
completed | April 3, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbba71a948190afc03a1df9e5777c |
completed | April 3, 2026, 1:07 p.m. |
Created at: March 30, 2026, 6:56 p.m.