Triple

T3600015
Position Surface form Disambiguated ID Type / Status
Subject John W. Tukey E76231 entity
Predicate notableWork P4 FINISHED
Object Exploratory Data Analysis
Exploratory Data Analysis is a statistical approach, popularized by John W. Tukey, that focuses on using visual and quantitative techniques to summarize data, uncover patterns, and suggest hypotheses before formal modeling.
 E371255 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: Exploratory Data Analysis | Statement: [John W. Tukey, notableWork, Exploratory Data Analysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Exploratory Data Analysis
Context triple: [John W. Tukey, notableWork, Exploratory Data Analysis]
  • A. Data-Driven Discovery Initiative
    The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
  • B. Statistics
    Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
  • C. Data Analysis Expressions
    Data Analysis Expressions is a formula and query language used in Microsoft Power BI, Excel, and other Microsoft BI tools to create custom calculations and analyze data in tabular models.
  • D. Sequential Analysis
    Sequential Analysis is a foundational statistical methodology that develops procedures for evaluating data as it is collected, allowing decisions to be made at variable sample sizes rather than after a fixed number of observations.
  • E. ACM Transactions on Data Science
    ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
  • 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: Exploratory Data Analysis
Triple: [John W. Tukey, notableWork, Exploratory Data Analysis]
Generated description
Exploratory Data Analysis is a statistical approach, popularized by John W. Tukey, that focuses on using visual and quantitative techniques to summarize data, uncover patterns, and suggest hypotheses before formal modeling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Exploratory Data Analysis
Target entity description: Exploratory Data Analysis is a statistical approach, popularized by John W. Tukey, that focuses on using visual and quantitative techniques to summarize data, uncover patterns, and suggest hypotheses before formal modeling.
  • A. Data-Driven Discovery Initiative
    The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
  • B. Statistics
    Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
  • C. Data Analysis Expressions
    Data Analysis Expressions is a formula and query language used in Microsoft Power BI, Excel, and other Microsoft BI tools to create custom calculations and analyze data in tabular models.
  • D. Sequential Analysis
    Sequential Analysis is a foundational statistical methodology that develops procedures for evaluating data as it is collected, allowing decisions to be made at variable sample sizes rather than after a fixed number of observations.
  • E. ACM Transactions on Data Science
    ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19fd57481908ce5c9daf168e213 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4031a41d08190b8e87c452601a625 completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b406fd33e08190a6f06eddec8516e9 completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b408778220819086935bfa9c0dd4fd completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.