Triple
T1676255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave.EU |
E36237
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Arron Banks
Arron Banks is a British businessman and political donor best known for bankrolling and co-founding the pro-Brexit campaign group Leave.EU.
|
E189797
|
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: Arron Banks | Statement: [Leave.EU, foundedBy, Arron Banks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arron Banks Context triple: [Leave.EU, foundedBy, Arron Banks]
-
A.
Callum Greene
Callum Greene is a film producer known for his work on major genre films, including Guillermo del Toro’s gothic horror movie "Crimson Peak."
-
B.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
C.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
D.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
-
E.
Emmet Brickowski
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
- 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: Arron Banks Triple: [Leave.EU, foundedBy, Arron Banks]
Generated description
Arron Banks is a British businessman and political donor best known for bankrolling and co-founding the pro-Brexit campaign group Leave.EU.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arron Banks Target entity description: Arron Banks is a British businessman and political donor best known for bankrolling and co-founding the pro-Brexit campaign group Leave.EU.
-
A.
Callum Greene
Callum Greene is a film producer known for his work on major genre films, including Guillermo del Toro’s gothic horror movie "Crimson Peak."
-
B.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
C.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
D.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
-
E.
Emmet Brickowski
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625cb1a08190bf7b138c5bfb90b2 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71b7c2608190bce1dc7469da4c45 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad72deafcc8190a2aef87277c5d731 |
completed | March 8, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad734440ac81909cbcf1c02fd4bc66 |
completed | March 8, 2026, 1:01 p.m. |
Created at: March 4, 2026, 7:29 p.m.