Triple
T21572112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Isabella Thackeray Ritchie |
E532308
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Old Kensington |
—
|
NE NERFINISHED |
How this triple was built (3 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: Old Kensington | Statement: [Anne Isabella Thackeray Ritchie, notableWork, Old Kensington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Kensington Context triple: [Anne Isabella Thackeray Ritchie, notableWork, Old Kensington]
-
A.
Barons Court
Barons Court is a residential district in West London known for its Victorian architecture, proximity to central London, and its London Underground station on the District and Piccadilly lines.
-
B.
Belgravia
Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
-
C.
Belgravia
Belgravia is a residential neighbourhood in Edmonton, Alberta, known for its proximity to the University of Alberta and access to the North Saskatchewan River valley.
-
D.
St John’s Wood
St John’s Wood is an affluent residential district in northwest London, known for its tree-lined streets, elegant villas, and landmarks such as Lord’s Cricket Ground and Abbey Road.
-
E.
Hampstead
Hampstead is a small, affluent residential town on the Island of Montreal in Quebec, Canada, known for its suburban character and tree-lined streets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Kensington Target entity description: Old Kensington is a 19th-century novel by Anne Isabella Thackeray Ritchie that offers a gently satirical and nostalgic portrayal of Victorian middle-class life in London.
-
A.
Barons Court
Barons Court is a residential district in West London known for its Victorian architecture, proximity to central London, and its London Underground station on the District and Piccadilly lines.
-
B.
Belgravia
Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
-
C.
Belgravia
Belgravia is a residential neighbourhood in Edmonton, Alberta, known for its proximity to the University of Alberta and access to the North Saskatchewan River valley.
-
D.
St John’s Wood
St John’s Wood is an affluent residential district in northwest London, known for its tree-lined streets, elegant villas, and landmarks such as Lord’s Cricket Ground and Abbey Road.
-
E.
Hampstead
Hampstead is a small, affluent residential town on the Island of Montreal in Quebec, Canada, known for its suburban character and tree-lined streets.
- F. None of above. chosen
Provenance (2 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cd50188190b44eb25fb87312bb |
completed | April 27, 2026, 4:45 a.m. |
Created at: April 16, 2026, 6:30 p.m.