Triple

T14975300
Position Surface form Disambiguated ID Type / Status
Subject John W. Tukey E373429 entity
Predicate notableWork P4 FINISHED
Object The Future of Data Analysis E371256 NE FINISHED

How this triple was built (2 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 Future of Data Analysis | Statement: [John W. Tukey, notableWork, The Future of Data Analysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Future of Data Analysis
Context triple: [John W. Tukey, notableWork, The Future of Data Analysis]
  • A. The Future of Data Analysis chosen
    "The Future of Data Analysis" is a seminal 1962 paper by statistician John W. Tukey that helped define and popularize exploratory data analysis and reshaped modern statistical practice.
  • B. The Transformation of Data
    The Transformation of Data is a notable chapter in R.A. Fisher’s "The Design of Experiments" that discusses methods for mathematically modifying experimental data to meet statistical assumptions and improve analysis.
  • C. The Human Face of Big Data
    The Human Face of Big Data is a multimedia project and book that explores how the explosion of digital information is transforming human life, society, and decision-making around the world.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beac05c8190bf19ec8bd1eab2d8 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:51 a.m.