Triple
T3091444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Leese |
E64490
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Belgravia, London |
E101089
|
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, London | Statement: [Oliver Leese, deathPlace, Belgravia, London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belgravia, London Context triple: [Oliver Leese, deathPlace, Belgravia, London]
-
A.
Belgravia, London, England
chosen
Belgravia, London, England is an affluent central London district known for its grand terraces, garden squares, and status as one of the city's most prestigious residential areas.
-
B.
Savoy, London
Savoy, London is a historic area on the Strand in central London, known for its royal associations and landmarks such as the Savoy Hotel and Savoy Theatre.
-
C.
Hampstead
Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
-
D.
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.
-
E.
Mayfair, London, England
Mayfair, London, England is an affluent central London district known for its luxury residences, exclusive shops, and prestigious hotels and clubs.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20eeee88190a5eecfce10e3848c |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235a3ebac8190af9a25eeee778675 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:03 p.m.