Triple
T6734730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Borough of Brent |
E153723
|
entity |
| Predicate | hasUKParliamentConstituency |
P2710
|
FINISHED |
| Object |
Brent North
Brent North is a UK parliamentary constituency in northwest London that elects a Member of Parliament to the House of Commons.
|
E615165
|
NE FINISHED |
How this triple was built (4 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: Brent North | Statement: [London Borough of Brent, hasUKParliamentConstituency, Brent North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent North Context triple: [London Borough of Brent, hasUKParliamentConstituency, Brent North]
-
A.
Brent Eleigh
Brent Eleigh is a small rural village located in the county of Suffolk in eastern England.
-
B.
Brent Thomas
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
-
C.
Mark Benton
Mark Benton is an English character actor known for his extensive work in British television drama and comedy, as well as stage and film roles.
-
D.
Craig Borten
Craig Borten is an American screenwriter best known for co-writing the acclaimed biographical drama film "Dallas Buyers Club."
-
E.
Bryan Woods
Bryan Woods is an American screenwriter and filmmaker best known for co-writing the hit horror film "A Quiet Place."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brent North Triple: [London Borough of Brent, hasUKParliamentConstituency, Brent North]
Generated description
Brent North is a UK parliamentary constituency in northwest London that elects a Member of Parliament to the House of Commons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brent North Target entity description: Brent North is a UK parliamentary constituency in northwest London that elects a Member of Parliament to the House of Commons.
-
A.
Brent Eleigh
Brent Eleigh is a small rural village located in the county of Suffolk in eastern England.
-
B.
Brent Thomas
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
-
C.
Mark Benton
Mark Benton is an English character actor known for his extensive work in British television drama and comedy, as well as stage and film roles.
-
D.
Craig Borten
Craig Borten is an American screenwriter best known for co-writing the acclaimed biographical drama film "Dallas Buyers Club."
-
E.
Bryan Woods
Bryan Woods is an American screenwriter and filmmaker best known for co-writing the hit horror film "A Quiet Place."
- F. None of above. chosen
Provenance (5 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0703288190906cfcaba9d9c85a |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bffe7b48190bbe217bc9fbb08ab |
completed | March 27, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c84de7081908d86c6f710410443 |
completed | March 27, 2026, 11:02 p.m. |
Created at: March 27, 2026, 2:09 p.m.