Triple
T6044054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Brooker |
E134620
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Newswipe
Newswipe is a British satirical television series created and presented by Charlie Brooker that critiques and deconstructs modern news media.
|
E564286
|
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: Newswipe | Statement: [Charlie Brooker, notableWork, Newswipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newswipe Context triple: [Charlie Brooker, notableWork, Newswipe]
-
A.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
-
B.
Newsfront
Newsfront is a 1978 Australian drama film that follows newsreel cameramen in the post–World War II era and is widely regarded as a landmark of the Australian New Wave cinema movement.
-
C.
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.
-
D.
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.
-
E.
Newsy
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
- 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: Newswipe Triple: [Charlie Brooker, notableWork, Newswipe]
Generated description
Newswipe is a British satirical television series created and presented by Charlie Brooker that critiques and deconstructs modern news media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Newswipe Target entity description: Newswipe is a British satirical television series created and presented by Charlie Brooker that critiques and deconstructs modern news media.
-
A.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
-
B.
Newsfront
Newsfront is a 1978 Australian drama film that follows newsreel cameramen in the post–World War II era and is widely regarded as a landmark of the Australian New Wave cinema movement.
-
C.
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.
-
D.
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.
-
E.
Newsy
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e2b1148190908c4dc43abee266 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139f53d881908f2aa8211fc7539f |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c1153b6ce8819090a13d349ccd2d6c |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115acfe748190b91c88df81c2e1c2 |
completed | March 23, 2026, 10:27 a.m. |
Created at: March 22, 2026, 4:09 p.m.