Triple
T8595221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewart Brown |
E203527
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ewart Brown |
E203527
|
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: Ewart Brown | Statement: [Ewart Brown, name, Ewart Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewart Brown Context triple: [Ewart Brown, name, Ewart Brown]
-
A.
Ewart Brown
chosen
Ewart Brown is a Bermudian physician and politician who served as Premier of Bermuda from 2006 to 2010 as leader of the Progressive Labour Party.
-
B.
Victor Campbell
Victor Campbell was a Royal Navy officer and polar explorer best known for leading the Northern Party during Robert Falcon Scott’s Terra Nova Antarctic expedition.
-
C.
Edwin Broun
Edwin Broun Fred was an American bacteriologist and academic who served as president of the University of Wisconsin–Madison in the mid-20th century.
-
D.
Moray Watson
Moray Watson was an English character actor known for his work in British television dramas and comedies from the mid-20th century onward.
-
E.
Alfred Gilks
Alfred Gilks was an American cinematographer best known for his work on classic Hollywood films, including the musical "An American in Paris."
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c76fd48190ae67b660c5b8e29f |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebba872b8819098ba7525944bcce1 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:23 p.m.