Triple
T20212637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Silverton |
E493526
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kate Silverton |
—
|
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: Kate Silverton | Statement: [Kate Silverton, name, Kate Silverton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Silverton Context triple: [Kate Silverton, name, Kate Silverton]
-
A.
Kate Silverton
chosen
Kate Silverton is a British journalist and television presenter best known for her work as a BBC newsreader and documentary host.
-
B.
Laura Partridge
Laura Partridge is the plucky, idealistic small shareholder who challenges corporate corruption in the comedy "The Solid Gold Cadillac."
-
C.
Laura Lyons
Laura Lyons is the mother of American fashion model Lily Aldridge.
-
D.
Polly Draper
Polly Draper is an American actress, writer, producer, and director best known for starring in the TV series "thirtysomething" and creating "The Naked Brothers Band."
-
E.
Emma Wibberly
Emma Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed627f48190a8ba638b85977af3 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.