Triple
T22562518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bexhill and Battle |
E557852
|
entity |
| Predicate | formerMP |
P14473
|
FINISHED |
| Object | Gregory Barker |
—
|
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: Gregory Barker | Statement: [Bexhill and Battle, formerMP, Gregory Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregory Barker Context triple: [Bexhill and Battle, formerMP, Gregory Barker]
-
A.
Gregory Barker
chosen
Gregory Barker is a British Conservative politician and life peer who served as MP for Bexhill and Battle and as a minister in the Department of Energy and Climate Change.
-
B.
Andrew Barker
Andrew Barker is a British electronic musician best known as a member of the influential Manchester acid house and techno group 808 State.
-
C.
Gregory Anderson
Gregory Anderson is an American screenwriter and producer best known for writing the dance drama film "Stomp the Yard."
-
D.
Gregory Jarvis
Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
-
E.
Sam Barrington
Sam Barrington is an American former NFL linebacker who played primarily for the Green Bay Packers after a standout college career at the University of South Florida.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa6a928819083925ea23aaaf725 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.