Triple
T22797372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Screenwipe |
E564285
|
entity |
| Predicate | hasSpinOff |
P7226
|
FINISHED |
| Object | Newswipe |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Screenwipe, hasSpinOff, Newswipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newswipe Context triple: [Screenwipe, hasSpinOff, Newswipe]
-
A.
Newswipe
chosen
Newswipe is a British satirical television series created and presented by Charlie Brooker that critiques and deconstructs modern news media.
-
B.
MediaNews Group
MediaNews Group is a large American media company that owns and operates numerous newspapers and digital news outlets across the United States.
-
C.
Pressly
Pressly is a surname most notably associated with American actress and model Jaime Pressly.
-
D.
Media Branch
Media Branch is a historic commuter rail line in Pennsylvania that once served communities such as Moylan–Rose Valley along the former Pennsylvania Railroad network.
-
E.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd9b3c0819096050f43a829ec0d |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.