Triple

T8912940
Position Surface form Disambiguated ID Type / Status
Subject The Design of Experiments E212225 entity
Predicate hasNotableChapter P6720 FINISHED
Object The Generalization of Factorial Design
The Generalization of Factorial Design is a chapter that extends classical factorial experiment methods to more complex and flexible designs, allowing efficient investigation of multiple factors and their interactions.
E768383 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 Generalization of Factorial Design | Statement: [The Design of Experiments, hasNotableChapter, The Generalization of Factorial Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Generalization of Factorial Design
Context triple: [The Design of Experiments, hasNotableChapter, The Generalization of Factorial Design]
  • 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. The Principles of Experimentation
    The Principles of Experimentation is a key chapter that outlines the fundamental concepts and methodological guidelines for planning, conducting, and interpreting scientific experiments.
  • C. International Recommendations for Industrial Statistics
    International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
  • D. The Theory of Confounding
    The Theory of Confounding is a foundational chapter in R.A. Fisher’s work on experimental design that explains how to manage and interpret the mixing of treatment effects with nuisance factors in statistical experiments.
  • E. 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.
  • 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 Generalization of Factorial Design
Triple: [The Design of Experiments, hasNotableChapter, The Generalization of Factorial Design]
Generated description
The Generalization of Factorial Design is a chapter that extends classical factorial experiment methods to more complex and flexible designs, allowing efficient investigation of multiple factors and their interactions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Generalization of Factorial Design
Target entity description: The Generalization of Factorial Design is a chapter that extends classical factorial experiment methods to more complex and flexible designs, allowing efficient investigation of multiple factors and their interactions.
  • 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. The Principles of Experimentation
    The Principles of Experimentation is a key chapter that outlines the fundamental concepts and methodological guidelines for planning, conducting, and interpreting scientific experiments.
  • C. International Recommendations for Industrial Statistics
    International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
  • D. The Theory of Confounding
    The Theory of Confounding is a foundational chapter in R.A. Fisher’s work on experimental design that explains how to manage and interpret the mixing of treatment effects with nuisance factors in statistical experiments.
  • E. 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.
  • 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_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_69cfc1cdfa6c8190af7b6312c73d59f9 completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc27bae88819094bcfdf10e89018b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc61d26fc8190817b430cb6fa9646 completed April 3, 2026, 1:52 p.m.
Created at: March 30, 2026, 6:56 p.m.