Triple
T36017354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunny Khan |
E1041879
|
entity |
| Predicate | hasColleagueInStory |
—
|
GENERATED |
| Object | Jess James |
—
|
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: hasColleagueInStory Context triple: [Sunny Khan, hasColleagueInStory, Jess James]
-
A.
hasAffiliationInStory
Indicates that one entity is affiliated with, associated with, or connected to another entity within the context of a specific story or narrative.
-
B.
hasAllyInStory
Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
-
C.
hasSiblingInStory
Indicates that one character in a narrative has at least one sibling who also appears within the same story.
-
D.
hasCompanionColleague
chosen
Indicates that one entity has another entity as a colleague who also serves as a companion or close associate.
-
E.
hasStaffTypeInStory
Indicates that a story involves or is associated with a particular type or category of staff.
- F. None of above.
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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.