Triple
T15878981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald B. Rubin |
E385023
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Multiple Imputation for Nonresponse in Surveys |
E1181898
|
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: Multiple Imputation for Nonresponse in Surveys | Statement: [Donald B. Rubin, notableWork, Multiple Imputation for Nonresponse in Surveys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Multiple Imputation for Nonresponse in Surveys Context triple: [Donald B. Rubin, notableWork, Multiple Imputation for Nonresponse in Surveys]
-
A.
multiple imputation for nonresponse in surveys
chosen
Multiple imputation for nonresponse in surveys is a statistical methodology that replaces missing survey data with multiple sets of plausible values to allow valid inference that accounts for uncertainty due to nonresponse.
-
B.
Rubin’s rules for combining multiple imputation estimates
Rubin’s rules for combining multiple imputation estimates are a set of statistical formulas that specify how to pool parameter estimates and standard errors across multiple imputed datasets to obtain valid overall inferences.
-
C.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
D.
“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.
-
E.
Statistics Surveys
Statistics Surveys is an open-access, peer-reviewed journal that publishes survey and review articles covering a broad range of topics in statistics and probability.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb043b6d48190bf9a36a3e00403c0 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.