Triple
T35419732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Skiles |
E1023747
|
entity |
| Predicate | notableEventDestination |
—
|
GENERATED |
| Object | Charlotte Douglas International Airport |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEventDestination Context triple: [Jeffrey Skiles, notableEventDestination, Charlotte Douglas International Airport]
-
A.
notableEventResponse
Indicates a response, reaction, or consequence that occurs as a result of a notable event.
-
B.
notableAIEvent
Indicates that an event is recognized as significant or influential within the field of artificial intelligence.
-
C.
notableEventMentionedIn
Indicates that a particular notable event is referenced or discussed within a specified source or document.
-
D.
notableEventServed
Indicates that an entity served in an official or significant capacity during a notable event.
-
E.
bearerNotableEvent
Indicates that a bearer (such as a person or entity) is associated with a specific notable event in which they played a significant role.
- F. None of above. chosen
Provenance (1 batch)
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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.