Triple
T2404365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swann Memorial Fountain |
E50241
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Wilson Eyre |
E322469
|
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: Wilson Eyre | Statement: [Swann Memorial Fountain, architect, Wilson Eyre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilson Eyre Context triple: [Swann Memorial Fountain, architect, Wilson Eyre]
-
A.
Wilson Eyre
chosen
Wilson Eyre was an American architect and influential proponent of the Shingle Style, known for his residential designs and contributions to early 20th-century architecture.
-
B.
George Nichols
George Nichols was a 19th-century American publisher known for issuing notable literary works, including influential satirical and poetic writings.
-
C.
George Nichols
George Nichols was an American actor and film director active during the silent film era.
-
D.
James Heald
James Heald was a notable figure significant enough in South African or local colonial history to have the settlement of Healdtown near Fort Beaufort named in his honor.
-
E.
David Horsey
David Horsey is an American political cartoonist and commentator renowned for his incisive editorial cartoons and multiple Pulitzer Prize-winning work.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fa151081909bc6be528b29b315 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20321518c8190a221620074f3428b |
completed | March 12, 2026, 12:04 a.m. |
Created at: March 4, 2026, 7:58 p.m.