Triple
T14303196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kew Bridge |
E354621
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | John Wolfe-Barry |
E217770
|
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: John Wolfe-Barry | Statement: [Kew Bridge, designer, John Wolfe-Barry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Wolfe-Barry Context triple: [Kew Bridge, designer, John Wolfe-Barry]
-
A.
Fred Kilgour
Fred Kilgour was an American librarian and information scientist best known for pioneering online library cataloging and founding the OCLC cooperative.
-
B.
John Wolfe Barry
chosen
John Wolfe Barry was a prominent British civil engineer of the late 19th and early 20th centuries, noted for designing major infrastructure projects in London and beyond.
-
C.
Gerald Palliser
Gerald Palliser is a fictional member of the aristocratic Palliser family in Anthony Trollope’s political novel series.
-
D.
Dr. John Rolph
Dr. John Rolph was a prominent 19th-century Canadian physician, lawyer, and political reformer who played a key role in the movement for responsible government in Upper Canada.
-
E.
Lester Barrie
Lester Barrie is an American stand-up comedian and actor known for his work in film and television, as well as for winning Star Search in the early 1990s.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2883e081909c53170ef30b4125 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.