Triple
T22235629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media Research Center |
E549584
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
CNSNews.com
CNSNews.com is a conservative online news and commentary website known for promoting right-leaning perspectives on U.S. politics and culture.
|
E1526243
|
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: CNSNews.com | Statement: [Media Research Center, hasPart, CNSNews.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNSNews.com Context triple: [Media Research Center, hasPart, CNSNews.com]
-
A.
CNN.com
CNN.com is the online news website of CNN, providing global news coverage, analysis, and multimedia content.
-
B.
CNews
CNews is a French 24-hour television news channel known for its rolling news coverage and opinion-led programming.
-
C.
CNA News
CNA News is a Taiwanese state-owned news agency that provides domestic and international news coverage across multiple media platforms.
-
D.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
E.
CNN2
CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
- 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: CNSNews.com Triple: [Media Research Center, hasPart, CNSNews.com]
Generated description
CNSNews.com is a conservative online news and commentary website known for promoting right-leaning perspectives on U.S. politics and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CNSNews.com Target entity description: CNSNews.com is a conservative online news and commentary website known for promoting right-leaning perspectives on U.S. politics and culture.
-
A.
CNN.com
CNN.com is the online news website of CNN, providing global news coverage, analysis, and multimedia content.
-
B.
CNews
CNews is a French 24-hour television news channel known for its rolling news coverage and opinion-led programming.
-
C.
CNA News
CNA News is a Taiwanese state-owned news agency that provides domestic and international news coverage across multiple media platforms.
-
D.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
E.
CNN2
CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae7b808c819091638601515b9737 |
completed | May 18, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_6a0ab14691dc81909765edd58c3dd719 |
completed | May 18, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab21edc4c8190b48a21e9594e6d35 |
completed | May 18, 2026, 6:30 a.m. |
Created at: April 16, 2026, 8:38 p.m.