Triple
T21866478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Jones |
E539894
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Alfred Dunhill |
—
|
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: Alfred Dunhill | Statement: [Kim Jones, employer, Alfred Dunhill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfred Dunhill Context triple: [Kim Jones, employer, Alfred Dunhill]
-
A.
Alfred Dunhill
chosen
Alfred Dunhill is a British luxury goods brand renowned for its high-end menswear, leather accessories, and smoking products.
-
B.
Ernest Wyman
Ernest Wyman is a relatively obscure historical figure primarily known for having been married to the American actress Jane Wyman.
-
C.
Dunhill
Dunhill is a premium cigarette brand known for its association with luxury and high-quality tobacco products.
-
D.
Arthur Treacher
Arthur Treacher was an English character actor best known for his portrayals of dignified butlers in Hollywood films of the 1930s and 1940s and later as the namesake of the Arthur Treacher's Fish & Chips restaurant chain.
-
E.
Charles Black
Charles Black is best known as the husband of Karen Blanche Ziegler.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63f2ec48190956a3e99d8f98b1f |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.