Triple
T36793114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Wilder in a traffic jam |
E909106
|
entity |
| Predicate | firstMeetingType |
—
|
GENERATED |
| Object | nonVerbalEncounter |
—
|
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: firstMeetingType Context triple: [Sebastian Wilder in a traffic jam, firstMeetingType, nonVerbalEncounter]
-
A.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
B.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
C.
firstMeetingDescription
Indicates a textual description of what happened or was communicated during the first meeting between the involved entities.
-
D.
firstMeetingScore
Indicates the evaluated quality or outcome of an entity’s initial meeting or first interaction with another entity.
-
E.
firstMeetingSport
Indicates that the entities first met each other in the context of participating in or attending a sporting activity or event.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.