Triple
T32979956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Brunt |
E843768
|
entity |
| Predicate | involvedInPlotTo |
P74692
|
FINISHED |
| Object | assassinate British government ministers |
—
|
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: assassinate British government ministers | Statement: [John Brunt, involvedInPlotTo, assassinate British government ministers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedInPlotTo Context triple: [John Brunt, involvedInPlotTo, assassinate British government ministers]
-
A.
plotInvolvement
Indicates that an entity participates in, contributes to, or is affected by the events or storyline of a narrative work.
-
B.
partOfPlot
Indicates that one event, action, or element is a constituent component within the overall plot of a narrative.
-
C.
hasBeenInvolvedIn
chosen
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
-
D.
involvedActor
Indicates that an entity participates as an actor or participant in the referenced event, activity, or situation.
-
E.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 1, 2026, 1:22 a.m.