Triple
T21174781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwin F. Taylor |
E521782
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
An Introduction to Error Analysis (as co‑author of early editions, if applicable)
An Introduction to Error Analysis is a widely used textbook that introduces students to the principles and practical techniques of estimating and understanding uncertainties in experimental measurements.
|
E1470179
|
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: An Introduction to Error Analysis (as co‑author of early editions, if applicable) | Statement: [Edwin F. Taylor, notableWork, An Introduction to Error Analysis (as co‑author of early editions, if applicable)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An Introduction to Error Analysis (as co‑author of early editions, if applicable) Context triple: [Edwin F. Taylor, notableWork, An Introduction to Error Analysis (as co‑author of early editions, if applicable)]
-
A.
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.
-
B.
De origine erroris (On the Origin of Error)
De origine erroris (On the Origin of Error) is the second book of Lactantius’s early Christian apologetic work *Divinae Institutiones*, examining the roots and nature of human religious and philosophical error.
-
C.
Gaussian law of error
The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
-
D.
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.
-
E.
error theory
Error theory is a branch of statistics and philosophy that studies the nature, sources, and mathematical treatment of inaccuracies in measurement and inference.
- 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: An Introduction to Error Analysis (as co‑author of early editions, if applicable) Triple: [Edwin F. Taylor, notableWork, An Introduction to Error Analysis (as co‑author of early editions, if applicable)]
Generated description
An Introduction to Error Analysis is a widely used textbook that introduces students to the principles and practical techniques of estimating and understanding uncertainties in experimental measurements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: An Introduction to Error Analysis (as co‑author of early editions, if applicable) Target entity description: An Introduction to Error Analysis is a widely used textbook that introduces students to the principles and practical techniques of estimating and understanding uncertainties in experimental measurements.
-
A.
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.
-
B.
De origine erroris (On the Origin of Error)
De origine erroris (On the Origin of Error) is the second book of Lactantius’s early Christian apologetic work *Divinae Institutiones*, examining the roots and nature of human religious and philosophical error.
-
C.
Gaussian law of error
The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
-
D.
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.
-
E.
error theory
Error theory is a branch of statistics and philosophy that studies the nature, sources, and mathematical treatment of inaccuracies in measurement and inference.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7271597288190b04baff9ca8d866c |
completed | April 21, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09757599708190b03ebb61a54b0c2a |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a097664811c81908e9bb1dfcf88b042 |
completed | May 17, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0978130b1481909e7a7c7a43f82c15 |
completed | May 17, 2026, 8:10 a.m. |
Created at: April 16, 2026, 3 p.m.