Triple
T18221911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S programming language |
E436326
|
entity |
| Predicate | notablePublication |
P4
|
FINISHED |
| Object | "Statistical Models in S" |
—
|
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 Models in S" | Statement: [S programming language, notablePublication, "Statistical Models in S"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Statistical Models in S" Context triple: [S programming language, notablePublication, "Statistical Models in S"]
-
A.
“Statistical Confluence Analysis by Means of Complete Regression Systems”
“Statistical Confluence Analysis by Means of Complete Regression Systems” is a foundational econometric work by Ragnar Frisch that develops a systematic regression-based framework for analyzing interdependent economic relationships.
-
B.
ESS (Emacs Speaks Statistics)
ESS (Emacs Speaks Statistics) is an Emacs-based add-on package that provides an integrated, script-oriented environment for interactive statistical programming and data analysis, especially with R and other statistical languages.
-
C.
S programming language
The S programming language is a statistical computing language developed at Bell Labs that heavily influenced the design of the R language and modern data analysis tools.
-
D.
Spline Models for Observational Data
"Spline Models for Observational Data" is a foundational monograph by statistician Grace Wahba that develops the theory and applications of spline-based smoothing methods for analyzing real-world data.
-
E.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
- 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 Models in S" Target entity description: "Statistical Models in S" is a foundational book that presents methods and practical guidance for implementing a wide range of statistical modeling techniques using the S programming environment.
-
A.
“Statistical Confluence Analysis by Means of Complete Regression Systems”
“Statistical Confluence Analysis by Means of Complete Regression Systems” is a foundational econometric work by Ragnar Frisch that develops a systematic regression-based framework for analyzing interdependent economic relationships.
-
B.
ESS (Emacs Speaks Statistics)
ESS (Emacs Speaks Statistics) is an Emacs-based add-on package that provides an integrated, script-oriented environment for interactive statistical programming and data analysis, especially with R and other statistical languages.
-
C.
S programming language
The S programming language is a statistical computing language developed at Bell Labs that heavily influenced the design of the R language and modern data analysis tools.
-
D.
Spline Models for Observational Data
"Spline Models for Observational Data" is a foundational monograph by statistician Grace Wahba that develops the theory and applications of spline-based smoothing methods for analyzing real-world data.
-
E.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.