Triple
T19887402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Kent |
E477936
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Brixton |
E227039
|
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: Brixton | Statement: [Jean Kent, placeOfBirth, Brixton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brixton Context triple: [Jean Kent, placeOfBirth, Brixton]
-
A.
Brixton
chosen
Brixton is a vibrant district in south London known for its multicultural community, lively markets, music scene, and significant role in Black British culture.
-
B.
Peckham
Peckham is a vibrant, multicultural district in south London known for its lively arts scene, markets, and diverse community.
-
C.
Lambeth
Lambeth is a central London borough on the south bank of the River Thames, known for landmarks such as the London Eye and its diverse urban communities.
-
D.
Southwark
Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
-
E.
Southall
Southall is a suburban district in West London, England, known for its large South Asian community and vibrant multicultural atmosphere.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590b12c08190bf44a3f3b2cb9122 |
completed | April 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbd16ff08190b03caa3b20478ef4 |
completed | May 16, 2026, 2:52 a.m. |
Created at: April 10, 2026, 1:52 p.m.