Triple
T338448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia University Graduate School of Journalism |
E6779
|
entity |
| Predicate | hasResearchCenter |
P40
|
FINISHED |
| Object |
Tow Center for Digital Journalism
The Tow Center for Digital Journalism is a research institute at Columbia University that explores the impact of technology on journalism and develops innovative practices for digital news production.
|
E42555
|
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: Tow Center for Digital Journalism | Statement: [Columbia University Graduate School of Journalism, hasResearchCenter, Tow Center for Digital Journalism]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tow Center for Digital Journalism Context triple: [Columbia University Graduate School of Journalism, hasResearchCenter, Tow Center for Digital Journalism]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
James M. Cox Jr. Center for International Mass Communication Training and Research
The James M. Cox Jr. Center for International Mass Communication Training and Research is an academic center focused on global journalism and media studies, offering research, training, and professional development programs in international mass communication.
-
E.
College of Media
The College of Media is a specialized academic unit at the University of Illinois at Urbana–Champaign focused on journalism, advertising, media studies, and related communication fields.
- 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: Tow Center for Digital Journalism Triple: [Columbia University Graduate School of Journalism, hasResearchCenter, Tow Center for Digital Journalism]
Generated description
The Tow Center for Digital Journalism is a research institute at Columbia University that explores the impact of technology on journalism and develops innovative practices for digital news production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tow Center for Digital Journalism Target entity description: The Tow Center for Digital Journalism is a research institute at Columbia University that explores the impact of technology on journalism and develops innovative practices for digital news production.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
James M. Cox Jr. Center for International Mass Communication Training and Research
The James M. Cox Jr. Center for International Mass Communication Training and Research is an academic center focused on global journalism and media studies, offering research, training, and professional development programs in international mass communication.
-
E.
College of Media
The College of Media is a specialized academic unit at the University of Illinois at Urbana–Champaign focused on journalism, advertising, media studies, and related communication fields.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae23b0c819081f8bf9ac26685ab |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d24a5c388190967793ebd1ba6bcb |
completed | March 1, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_69a3d2b9892081908059bba25f2b96d4 |
completed | March 1, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d378fb7c81909844e723fb99f946 |
completed | March 1, 2026, 5:49 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.