Triple
T15341468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Cameron ministry |
E366804
|
entity |
| Predicate | includedOffice |
P11900
|
FINISHED |
| Object | Chief Whip |
E5295
|
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: Chief Whip | Statement: [Second Cameron ministry, includedOffice, Chief Whip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chief Whip Context triple: [Second Cameron ministry, includedOffice, Chief Whip]
-
A.
Chief Whip
chosen
The Chief Whip is the senior party official in the UK House of Commons responsible for enforcing party discipline, organizing votes, and managing the legislative agenda.
-
B.
Whiskey Pete MacIntyre
Whiskey Pete MacIntyre was a colorful local figure and bootlegger in Nevada whose nickname and legend inspired the naming of the Whiskey Pete's casino.
-
C.
Colonel Wotherspoon
Colonel Wotherspoon is a stage play by Scottish dramatist James Bridie, known for its witty dialogue and satirical treatment of social and moral themes.
-
D.
Charles Black
Charles Black is best known as the husband of Karen Blanche Ziegler.
-
E.
Charles Black
Charles Black is a business associate and partner of Adam Black.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e14d8088190876fceca75d12322 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f55e9881908612c4e384836fb5 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.