Triple
T32164194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Roberts as Julianne Potter |
E821511
|
entity |
| Predicate | firstMeetsMichaelBackstory |
—
|
GENERATED |
| Object | inCollege |
—
|
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: firstMeetsMichaelBackstory Context triple: [Julia Roberts as Julianne Potter, firstMeetsMichaelBackstory, inCollege]
-
A.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
B.
firstMeetingDescription
Indicates a textual description of what happened or was communicated during the first meeting between the involved entities.
-
C.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
D.
firstAppearanceAsMichaelHolt
Indicates the work or context in which an entity is first presented or identified specifically as Michael Holt.
-
E.
firstMeetingPlace
Indicates the location where two or more entities met each other for the very first time.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:33 a.m.