Triple
T5110331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Walter |
E115197
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Belgravia |
E376796
|
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: Belgravia | Statement: [Harriet Walter, notableWork, Belgravia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belgravia Context triple: [Harriet Walter, notableWork, Belgravia]
-
A.
Belgravia
chosen
Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
-
B.
Briar Hill–Belgravia
Briar Hill–Belgravia is a residential neighbourhood in Toronto, Ontario, known for its diverse community and mix of low-rise homes and apartment buildings.
-
C.
Grosvenor
Grosvenor is the middle name of Bertram Grosvenor Goodhue, a prominent American architect and designer known for his influential early 20th-century works.
-
D.
Knightsbridge
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
-
E.
Burlington Gardens
Burlington Gardens is a street in central London’s Mayfair district, known for its historic architecture and proximity to major cultural and shopping landmarks.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ad362c8190b9cbded390aaea3c |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bebaa719748190930dceaeedb346c2 |
completed | March 21, 2026, 3:35 p.m. |
Created at: March 20, 2026, 1:41 p.m.