Triple
T21077471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Playfair |
E519275
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Statistical Breviary |
—
|
NE NERFINISHED |
How this triple was built (3 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: Statistical Breviary | Statement: [William Playfair, notableWork, Statistical Breviary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Statistical Breviary Context triple: [William Playfair, notableWork, Statistical Breviary]
-
A.
Schaum's Outline of Statistics
Schaum's Outline of Statistics is a widely used study guide that provides concise explanations, solved problems, and practice exercises to help students learn and review fundamental statistics concepts.
-
B.
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.
-
C.
Babson’s Statistical Organization
Babson’s Statistical Organization was an early 20th-century economic and financial analysis firm known for providing business forecasts and market statistics to investors and corporations.
-
D.
Probability, Statistics and Truth
Probability, Statistics and Truth is a foundational book by Richard von Mises that presents his frequentist interpretation of probability and explores the philosophical and practical implications of statistical reasoning.
-
E.
Foundations of Statistics
Foundations of Statistics is a seminal work in statistical theory that rigorously develops the principles of statistical inference and decision-making under uncertainty.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Statistical Breviary Target entity description: Statistical Breviary is an 1801 work by William Playfair that helped pioneer modern statistical graphics, including some of the earliest known pie charts and bar charts.
-
A.
Schaum's Outline of Statistics
Schaum's Outline of Statistics is a widely used study guide that provides concise explanations, solved problems, and practice exercises to help students learn and review fundamental statistics concepts.
-
B.
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.
-
C.
Babson’s Statistical Organization
Babson’s Statistical Organization was an early 20th-century economic and financial analysis firm known for providing business forecasts and market statistics to investors and corporations.
-
D.
Probability, Statistics and Truth
Probability, Statistics and Truth is a foundational book by Richard von Mises that presents his frequentist interpretation of probability and explores the philosophical and practical implications of statistical reasoning.
-
E.
Foundations of Statistics
Foundations of Statistics is a seminal work in statistical theory that rigorously develops the principles of statistical inference and decision-making under uncertainty.
- F. None of above. chosen
Provenance (2 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d77b8081908ecfb05ab391fd39 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.