Triple
T8189107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brexit Party |
E191259
|
entity |
| Predicate | hasChairperson |
P10
|
FINISHED |
| Object | Richard Tice |
E191258
|
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: Richard Tice | Statement: [Brexit Party, hasChairperson, Richard Tice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Tice Context triple: [Brexit Party, hasChairperson, Richard Tice]
-
A.
Richard Tice
chosen
Richard Tice is a British businessman and politician best known as a prominent Brexit campaigner and leader of the Reform UK party.
-
B.
Tom Christie
Tom Christie is a software developer best known for creating the Starlette ASGI framework and the Django REST framework in the Python ecosystem.
-
C.
Christopher Fettes
Christopher Fettes is a theatre educator and director best known as the co-founder of Drama Centre London, an influential British drama school.
-
D.
Timothy Drury
Timothy Drury is an American keyboardist, guitarist, and songwriter best known for his work with rock bands such as the Eagles and Whitesnake.
-
E.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da0e1288190b9c7c1d3b9a98830 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced8da28c81909c34c0103da68f0f |
completed | April 1, 2026, 10:03 a.m. |
Created at: March 30, 2026, 5:41 p.m.