Triple
T2334203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryanston School |
E44272
|
entity |
| Predicate | architectOfMainBuilding |
P138
|
FINISHED |
| Object | Norman Shaw |
E214577
|
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: Norman Shaw | Statement: [Bryanston School, architectOfMainBuilding, Norman Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Shaw Context triple: [Bryanston School, architectOfMainBuilding, Norman Shaw]
-
A.
Norman Shaw
chosen
Norman Shaw was a prominent 19th-century British architect known for his influential country houses and for helping define the Queen Anne and Old English styles within Victorian architecture.
-
B.
Herbert Jenkins
Herbert Jenkins was a British publishing company best known for issuing popular fiction, including many works by P. G. Wodehouse.
-
C.
Lloyd Bryce
Lloyd Bryce was an American editor, politician, and diplomat best known for his influential leadership of the North American Review in the late 19th century.
-
D.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
-
E.
Walter Stott
Walter Stott was the husband of mathematician Alicia Boole Stott, who was known for her pioneering work on four-dimensional polytopes.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef08d9d188190a88b90ea31cc78cb |
completed | March 9, 2026, 4:08 p.m. |
Created at: March 4, 2026, 7:51 p.m.