Triple
T300740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wilkes Booth |
E6191
|
entity |
| Predicate | planned |
P11255
|
FINISHED |
| Object | kidnapping plot against Abraham Lincoln |
—
|
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: kidnapping plot against Abraham Lincoln | Statement: [John Wilkes Booth, planned, kidnapping plot against Abraham Lincoln]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planned Context triple: [John Wilkes Booth, planned, kidnapping plot against Abraham Lincoln]
-
A.
plannedUnder
Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
-
B.
plannedFacility
Indicates that a facility is intended or scheduled to be built, established, or implemented in the future but does not yet exist or operate.
-
C.
datePlanned
Indicates that a specific date has been scheduled or intended for a particular event, action, or relationship to occur.
-
D.
plannedUpgrade
Indicates that an entity has a scheduled or intended improvement or enhancement to be carried out in the future.
-
E.
bodyPlan
Indicates the overall structural organization and arrangement of an organism’s body, including the layout and relationship of its major parts.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93aff048190a633c8ae2b76a41f |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.