Triple
T5943129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. W. Scripps Company |
E132214
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Newsy
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
|
E556575
|
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: Newsy | Statement: [E. W. Scripps Company, owns, Newsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newsy Context triple: [E. W. Scripps Company, owns, Newsy]
-
A.
Newsy
Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
-
B.
The News
The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
-
C.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
-
D.
News On AIR
News On AIR is All India Radio’s official mobile application that provides live radio streaming, news updates, and programs from AIR and Doordarshan.
-
E.
World News Now
World News Now is an overnight American television news program on ABC known for its offbeat, informal style and coverage of national and international stories.
- 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: Newsy Triple: [E. W. Scripps Company, owns, Newsy]
Generated description
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Newsy Target entity description: Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
-
A.
Newsy
Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
-
B.
The News
The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
-
C.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
-
D.
News On AIR
News On AIR is All India Radio’s official mobile application that provides live radio streaming, news updates, and programs from AIR and Doordarshan.
-
E.
World News Now
World News Now is an overnight American television news program on ABC known for its offbeat, informal style and coverage of national and international stories.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393641d0819081c6c44816d94e4e |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c07f9ab081909fe7727837fa7f7a |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c1c02b608190a42850a15cf9d2c6 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c443df6c8190b7b566fa46177cfd |
completed | March 23, 2026, 4:40 a.m. |
Created at: March 22, 2026, 4:01 p.m.