Triple
T16461695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The News Agents |
E399820
|
entity |
| Predicate | hasCoHost |
P5275
|
FINISHED |
| Object | Jon Sopel |
E399822
|
NE FINISHED |
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: Jon Sopel | Statement: [The News Agents, hasCoHost, Jon Sopel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Sopel Context triple: [The News Agents, hasCoHost, Jon Sopel]
-
A.
Jon Sopel
chosen
Jon Sopel is a British journalist and broadcaster best known for his work as a BBC correspondent and news presenter.
-
B.
Luke Harding
Luke Harding is a British journalist and author known for his investigative reporting on Russia, espionage, and international affairs, including works that inspired the film "The Fifth Estate."
-
C.
Nick Davies
Nick Davies is a British investigative journalist best known for exposing the News of the World phone-hacking scandal and his extensive work on media ethics and corruption.
-
D.
Mark Bazeley
Mark Bazeley is a British actor known for his work in film, television, and theatre, including roles in political dramas and high-profile UK series.
-
E.
Phil Beauman
Phil Beauman is an American comedy writer and producer best known for his work on parody films and television, including contributions to the hit spoof franchise "Scary Movie."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d819d548190bc76a0ec2e223437 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607618c8819090fc9f18ae5f30dd |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:10 a.m.