Triple
T8293170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk Coastal |
E193947
|
entity |
| Predicate | representedBy |
P1748
|
FINISHED |
| Object | Thérèse Coffey |
E816694
|
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: Thérèse Coffey | Statement: [Suffolk Coastal, representedBy, Thérèse Coffey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thérèse Coffey Context triple: [Suffolk Coastal, representedBy, Thérèse Coffey]
-
A.
Thérèse Coffey
chosen
Thérèse Coffey is a British Conservative Party politician who has served in several senior UK government roles, including as Secretary of State for Work and Pensions and Deputy Prime Minister.
-
B.
Jeanne Coyne
Jeanne Coyne was an American dancer and choreographer who worked on numerous Hollywood musicals and was married to legendary performer Gene Kelly.
-
C.
Mary Leahy
Mary Leahy is a notable individual who shares the surname Leahy and has achieved sufficient recognition to be specifically cited as a bearer of the name.
-
D.
Maureen Cox
Maureen Cox was a British hairdresser best known as the first wife of Beatles drummer Ringo Starr.
-
E.
Colleen Farrington
Colleen Farrington was an American model and nightclub singer best known as the mother of actress Diane Lane.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9deb50819086ae9c97b03fefc3 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1aef47b908190a7aff84fbf2759db |
completed | April 5, 2026, 12:38 a.m. |
Created at: March 30, 2026, 5:52 p.m.