Triple
T3196918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Winehouse |
E66955
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Camden Town |
E110289
|
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: Camden Town | Statement: [Amy Winehouse, residence, Camden Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camden Town Context triple: [Amy Winehouse, residence, Camden Town]
-
A.
Camden Town
chosen
Camden Town is a vibrant district in northwest London known for its alternative culture, markets, live music venues, and canalside atmosphere.
-
B.
Shoreditch
Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
-
C.
Somers Town
Somers Town is a historically working-class, culturally diverse district in central London located between Euston and St Pancras stations.
-
D.
Catford
Catford is a district in southeast London, England, known as the administrative center of the London Borough of Lewisham.
-
E.
Elephant and Castle
Elephant and Castle is a major road junction and rapidly redeveloping urban district in south London known for its transport hub, shopping centre (now largely demolished), and diverse local community.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bb7cd488190ae95c140d9cda296 |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.