Triple
T16043022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Hedley Vicars Bulyea |
E389143
|
entity |
| Predicate | appointedBy |
P257
|
FINISHED |
| Object | Earl Grey |
E84703
|
NE FINISHED |
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: Earl Grey | Statement: [George Hedley Vicars Bulyea, appointedBy, Earl Grey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earl Grey Context triple: [George Hedley Vicars Bulyea, appointedBy, Earl Grey]
-
A.
Earl Grey
chosen
Earl Grey was a British Whig statesman who served as Prime Minister and is best known for overseeing the passage of the Reform Act 1832 and for having the famous tea blend named after him.
-
B.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
C.
Brooke Bond
Brooke Bond is a historic British tea brand best known for its popular blends such as PG Tips and Red Label, now owned by Unilever.
-
D.
Peet
Peet is a surname most notably associated with American actress Amanda Peet.
-
E.
Téa
Téa is the distinctive given name of American actress and producer Téa Leoni.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835c5bd48190b5b47379bf51f84e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd95d508190a21db435fb69f8d7 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.