Triple
T17512372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amarantine |
E426479
|
entity |
| Predicate | coverArtDesigner |
P184
|
FINISHED |
| Object | Simon Fowler |
—
|
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: Simon Fowler | Statement: [Amarantine, coverArtDesigner, Simon Fowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Fowler Context triple: [Amarantine, coverArtDesigner, Simon Fowler]
-
A.
Simon Fowler
chosen
Simon Fowler is a British graphic designer and illustrator known for creating album artwork and cover designs for various musicians and bands.
-
B.
Simon Heath
Simon Heath is a British television producer and executive known for overseeing popular crime and drama series.
-
C.
Michael Forsyth
Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
-
D.
Stephen Mackintosh
Stephen Mackintosh is a British actor known for his work in film, television, and theatre, including roles in dramas and crime thrillers.
-
E.
Jonathan Ford
Jonathan Ford is a senior naval officer and executive officer aboard the seaQuest DSV in the science fiction television series "seaQuest DSV."
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525d29fc819080851bf744bc78ed |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.