Triple
T18799308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | statsmodels |
E459721
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | statsmodels.nonparametric |
—
|
NE NERFINISHED |
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: statsmodels.nonparametric | Statement: [statsmodels, hasComponent, statsmodels.nonparametric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: statsmodels.nonparametric Context triple: [statsmodels, hasComponent, statsmodels.nonparametric]
-
A.
statsmodels
chosen
statsmodels is a Python library for statistical modeling and econometrics, providing tools for estimating and interpreting a wide range of statistical models and tests.
-
B.
Taxidea
Taxidea is a genus of mustelid mammals best known for the American badger, a burrowing carnivore native to North America.
-
C.
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.
-
D.
B-splines
B-splines are piecewise polynomial functions widely used in computer graphics and numerical analysis to create smooth, flexible curves and surfaces controlled by a set of control points.
-
E.
Tukey's biweight
Tukey's biweight is a robust statistical estimator that downweights outliers to provide resistant measures of central tendency or regression fits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.