Triple
T15795774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spence |
E382973
|
entity |
| Predicate | hasMemberOfParliament |
P18662
|
FINISHED |
| Object |
Matt Burnell
Matt Burnell is a British politician who serves as the Member of Parliament representing the constituency of Spence.
|
E1181994
|
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: Matt Burnell | Statement: [Spence, hasMemberOfParliament, Matt Burnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Burnell Context triple: [Spence, hasMemberOfParliament, Matt Burnell]
-
A.
Mike Bennion
Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
-
B.
Michael Burns
Michael Burns is a film producer known for his work on projects such as the psychological horror movie "Bug" (2006).
-
C.
Dan Burns
Dan Burns is the widowed advice columnist and devoted father at the center of the romantic comedy-drama film "Dan in Real Life."
-
D.
Paul Burnett
Paul Burnett is a British radio disc jockey best known for his work on BBC Radio 1 during the 1970s and 1980s.
-
E.
Matt Burke
Matt Burke is a retired Australian rugby union player renowned for his long and successful career with the Wallabies and the New South Wales Waratahs, primarily as a fullback and goal-kicker.
- 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: Matt Burnell Triple: [Spence, hasMemberOfParliament, Matt Burnell]
Generated description
Matt Burnell is a British politician who serves as the Member of Parliament representing the constituency of Spence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Burnell Target entity description: Matt Burnell is a British politician who serves as the Member of Parliament representing the constituency of Spence.
-
A.
Mike Bennion
Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
-
B.
Michael Burns
Michael Burns is a film producer known for his work on projects such as the psychological horror movie "Bug" (2006).
-
C.
Dan Burns
Dan Burns is the widowed advice columnist and devoted father at the center of the romantic comedy-drama film "Dan in Real Life."
-
D.
Paul Burnett
Paul Burnett is a British radio disc jockey best known for his work on BBC Radio 1 during the 1970s and 1980s.
-
E.
Matt Burke
Matt Burke is a retired Australian rugby union player renowned for his long and successful career with the Wallabies and the New South Wales Waratahs, primarily as a fullback and goal-kicker.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa937f2a881908849fcded786905f |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa8b03048190a3745df8a59fe066 |
completed | May 9, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab58e7e481908a13b739e0401b8b |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:48 a.m.