Triple
T20598965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Grant |
E506122
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Arthur Grant |
—
|
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: Arthur Grant | Statement: [Arthur Grant, name, Arthur Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Grant Context triple: [Arthur Grant, name, Arthur Grant]
-
A.
Arthur Grant
chosen
Arthur Grant was a British cinematographer best known for his work on numerous Hammer Films productions in the mid-20th century.
-
B.
Keith Grant
Keith Grant was a renowned British recording engineer celebrated for his influential work at London’s Olympic Studios with many major rock and pop artists of the 1960s and 1970s.
-
C.
Garth Stevenson
Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
-
D.
Robert Grant
Robert Grant is the harried but good-hearted hotel manager and central human protagonist in the family comedy film "Dunston Checks In."
-
E.
Don Williamson
Don Williamson was an American businessman and politician who served as the controversial mayor of Flint, Michigan in the 2000s.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1e251c8190926dafe1402eb63c |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:40 a.m.