Triple
T11565704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pippa Norris |
E274245
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Electoral Engineering: Voting Rules and Political Behavior
"Electoral Engineering: Voting Rules and Political Behavior" is a scholarly book by political scientist Pippa Norris that analyzes how different electoral systems shape party competition, voter behavior, and democratic outcomes around the world.
|
E933770
|
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: Electoral Engineering: Voting Rules and Political Behavior | Statement: [Pippa Norris, notableWork, Electoral Engineering: Voting Rules and Political Behavior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Electoral Engineering: Voting Rules and Political Behavior Context triple: [Pippa Norris, notableWork, Electoral Engineering: Voting Rules and Political Behavior]
-
A.
Elections as Instruments of Democracy: Majoritarian and Proportional Visions
"Elections as Instruments of Democracy: Majoritarian and Proportional Visions" is a comparative political science book that analyzes how different electoral systems shape democratic representation, accountability, and governance.
-
B.
The Michigan model of voting
The Michigan model of voting is a political science framework that explains voters’ choices primarily through long-term psychological attachments to political parties, shaped by socialization and group identities.
-
C.
methodological foundations of election studies
The methodological foundations of election studies comprise the core research designs, measurement techniques, and analytical approaches that underpin systematic, empirical investigation of electoral behavior and political participation.
-
D.
Systematic Politics
Systematic Politics is a foundational work in political science by Charles E. Merriam that helped establish the behavioral and empirical study of political processes.
-
E.
“The Logic of American Politics”
“The Logic of American Politics” is a widely used scholarly textbook that analyzes the institutions, incentives, and collective action problems shaping political behavior and governance in the United States.
- 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: Electoral Engineering: Voting Rules and Political Behavior Triple: [Pippa Norris, notableWork, Electoral Engineering: Voting Rules and Political Behavior]
Generated description
"Electoral Engineering: Voting Rules and Political Behavior" is a scholarly book by political scientist Pippa Norris that analyzes how different electoral systems shape party competition, voter behavior, and democratic outcomes around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Electoral Engineering: Voting Rules and Political Behavior Target entity description: "Electoral Engineering: Voting Rules and Political Behavior" is a scholarly book by political scientist Pippa Norris that analyzes how different electoral systems shape party competition, voter behavior, and democratic outcomes around the world.
-
A.
Elections as Instruments of Democracy: Majoritarian and Proportional Visions
"Elections as Instruments of Democracy: Majoritarian and Proportional Visions" is a comparative political science book that analyzes how different electoral systems shape democratic representation, accountability, and governance.
-
B.
The Michigan model of voting
The Michigan model of voting is a political science framework that explains voters’ choices primarily through long-term psychological attachments to political parties, shaped by socialization and group identities.
-
C.
methodological foundations of election studies
The methodological foundations of election studies comprise the core research designs, measurement techniques, and analytical approaches that underpin systematic, empirical investigation of electoral behavior and political participation.
-
D.
Systematic Politics
Systematic Politics is a foundational work in political science by Charles E. Merriam that helped establish the behavioral and empirical study of political processes.
-
E.
“The Logic of American Politics”
“The Logic of American Politics” is a widely used scholarly textbook that analyzes the institutions, incentives, and collective action problems shaping political behavior and governance in the United States.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd321f88190a57ecaf079fbbc3f |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8b1a67481909a05105728acc358 |
completed | April 21, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69e6ef951eb881909810b5923385c4c6 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f94ac2d0819098a3024eaab908b5 |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.