Triple
T10979447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Berkeley |
E259460
|
entity |
| Predicate | causeOfRemovalFromOffice |
P96428
|
FINISHED |
| Object | political pressure after Bacon's Rebellion |
—
|
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: political pressure after Bacon's Rebellion | Statement: [William Berkeley, causeOfRemovalFromOffice, political pressure after Bacon's Rebellion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfRemovalFromOffice Context triple: [William Berkeley, causeOfRemovalFromOffice, political pressure after Bacon's Rebellion]
-
A.
methodOfRemovalFromOffice
Indicates the specific process or procedure by which an officeholder is removed from their position.
-
B.
causeOfEndOfPresidency
Indicates the event, action, or circumstance that directly led to the termination of a person’s presidency.
-
C.
succeedsFromOffice
Indicates that one officeholder directly follows another in holding the same office or position.
-
D.
expulsionReason
Indicates the cause or justification for which an entity was expelled from a group, place, or institution.
-
E.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
- F. None of above. chosen
Provenance (4 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f7b874819087bf5a858905279b |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.