Triple
T16143019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preston Brooks |
E391708
|
entity |
| Predicate | significantEventImpact |
P98798
|
FINISHED |
| Object | increased sectional tensions before the American Civil War |
—
|
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: increased sectional tensions before the American Civil War | Statement: [Preston Brooks, significantEventImpact, increased sectional tensions before the American Civil War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantEventImpact Context triple: [Preston Brooks, significantEventImpact, increased sectional tensions before the American Civil War]
-
A.
significantEventConsequence
chosen
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
-
B.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
-
C.
significantEventType
Indicates the specific category or kind of major or noteworthy event associated with an entity or situation.
-
D.
majorImpact
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
-
E.
significantEventContext
Indicates that an event occurs within a context or circumstances that are particularly important, influential, or meaningful relative to that event.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.