Triple
T23039829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Cherry |
E573703
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Vauxhall Motors |
—
|
NE NERFINISHED |
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: Vauxhall Motors | Statement: [Wayne Cherry, employer, Vauxhall Motors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vauxhall Motors Context triple: [Wayne Cherry, employer, Vauxhall Motors]
-
A.
Vauxhall
Vauxhall is a central London parliamentary constituency and district on the south bank of the River Thames, known for its transport hub, riverside developments, and diverse urban character.
-
B.
Vauxhall
chosen
Vauxhall is a long-established British automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles.
-
C.
Opel
Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
-
D.
MG Rover Group
MG Rover Group was a British car manufacturer formed from the remnants of the Rover Group, known for producing MG and Rover-branded vehicles before its collapse in 2005.
-
E.
Ford of Britain
Ford of Britain is the British subsidiary of the Ford Motor Company, historically known for designing and producing a wide range of cars and commercial vehicles for the UK and European markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18512df708190a6892e743a289c74 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.