Triple
T93436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Kennedy School |
E1877
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Shorenstein Center on Media, Politics and Public Policy
The Shorenstein Center on Media, Politics and Public Policy is a research center focused on exploring the intersection of journalism, politics, and public policy, particularly the role of media in democratic governance.
|
E7935
|
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: Shorenstein Center on Media, Politics and Public Policy | Statement: [Harvard Kennedy School, hasDivision, Shorenstein Center on Media, Politics and Public Policy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shorenstein Center on Media, Politics and Public Policy Context triple: [Harvard Kennedy School, hasDivision, Shorenstein Center on Media, Politics and Public Policy]
-
A.
Annenberg School for Communication
The Annenberg School for Communication is a leading academic institution specializing in communication research and education, renowned for its scholarship in media, politics, and public policy.
-
B.
MIT Department of Political Science
The MIT Department of Political Science is a leading academic department that conducts research and offers undergraduate and graduate programs in areas such as international relations, comparative politics, political economy, and security studies.
-
C.
Harvard Kennedy School
Harvard Kennedy School is Harvard University's graduate school of public policy and public administration, renowned for training leaders in government, politics, and international affairs.
-
D.
Institute for Quantitative Social Science at Harvard University
The Institute for Quantitative Social Science at Harvard University is a research center dedicated to advancing empirical and computational methods for the study of social and political phenomena.
-
E.
Columbia University Graduate School of Journalism
Columbia University Graduate School of Journalism is a leading graduate institution in New York City renowned for training professional journalists and advancing excellence in the field through education, research, and industry partnerships.
- 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: Shorenstein Center on Media, Politics and Public Policy Triple: [Harvard Kennedy School, hasDivision, Shorenstein Center on Media, Politics and Public Policy]
Generated description
The Shorenstein Center on Media, Politics and Public Policy is a research center focused on exploring the intersection of journalism, politics, and public policy, particularly the role of media in democratic governance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shorenstein Center on Media, Politics and Public Policy Target entity description: The Shorenstein Center on Media, Politics and Public Policy is a research center focused on exploring the intersection of journalism, politics, and public policy, particularly the role of media in democratic governance.
-
A.
Annenberg School for Communication
The Annenberg School for Communication is a leading academic institution specializing in communication research and education, renowned for its scholarship in media, politics, and public policy.
-
B.
MIT Department of Political Science
The MIT Department of Political Science is a leading academic department that conducts research and offers undergraduate and graduate programs in areas such as international relations, comparative politics, political economy, and security studies.
-
C.
Harvard Kennedy School
Harvard Kennedy School is Harvard University's graduate school of public policy and public administration, renowned for training leaders in government, politics, and international affairs.
-
D.
Institute for Quantitative Social Science at Harvard University
The Institute for Quantitative Social Science at Harvard University is a research center dedicated to advancing empirical and computational methods for the study of social and political phenomena.
-
E.
Columbia University Graduate School of Journalism
Columbia University Graduate School of Journalism is a leading graduate institution in New York City renowned for training professional journalists and advancing excellence in the field through education, research, and industry partnerships.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd28e988190bde699647ee5b16b |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26245bf748190828d5cb4624b2a79 |
completed | Feb. 28, 2026, 3:34 a.m. |
| NEDg | Description generation | batch_69a262bec71481909b251923011ca502 |
completed | Feb. 28, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a263626b7c8190b53469d93ac604d9 |
completed | Feb. 28, 2026, 3:39 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.