Triple
T27970354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron King of Lothbury |
E706336
|
entity |
| Predicate | titleHolderFormerPosition |
P59714
|
FINISHED |
| Object | Governor of the Bank of England |
—
|
LITERAL 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: Governor of the Bank of England | Statement: [Baron King of Lothbury, titleHolderFormerPosition, Governor of the Bank of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderFormerPosition Context triple: [Baron King of Lothbury, titleHolderFormerPosition, Governor of the Bank of England]
-
A.
titleHolderServedAs
Indicates that the entity holding a particular title also performed the role or function associated with that title.
-
B.
notableFormerHolderRole
chosen
Indicates that an entity previously held a particular notable role or position.
-
C.
titleHolderFormerAffiliation
Indicates that a former holder of a title was previously affiliated with a specified organization, group, or institution.
-
D.
titleHeldAs
Indicates that an entity holds or possesses a specific title in a particular capacity or role.
-
E.
titleHolderIsFormerCabinetMinister
Indicates that the title holder previously served as a member of a government cabinet.
- F. None of above.
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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 27, 2026, 7:37 p.m.