Triple
T520293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witney |
E10799
|
entity |
| Predicate | formerMP |
P14473
|
FINISHED |
| Object | David Cameron |
E10801
|
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: David Cameron | Statement: [Witney, formerMP, David Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Cameron Context triple: [Witney, formerMP, David Cameron]
-
A.
David Cameron
chosen
David Cameron is a British politician who served as Prime Minister of the United Kingdom from 2010 to 2016 and led the country’s Conservative Party during that period.
-
B.
Gordon Brown
Gordon Brown is a British politician who served as Prime Minister of the United Kingdom from 2007 to 2010 and was previously a long-serving Chancellor of the Exchequer.
-
C.
Boris Johnson
Boris Johnson is a British Conservative politician who served as Prime Minister of the United Kingdom from 2019 to 2022 and was a leading figure in the Brexit campaign.
-
D.
Tony Blair
Tony Blair is a British politician who served as Prime Minister of the United Kingdom from 1997 to 2007 and was a leading architect of the UK’s intervention in the Iraq War.
-
E.
Theresa May
Theresa May is a British politician who served as Prime Minister of the United Kingdom from 2016 to 2019.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f3b7557c8190a29cf1de359ea2ea |
completed | Feb. 28, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a6feef408190b6e3f6fec95c36e7 |
completed | March 1, 2026, 8:52 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.