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.