Triple
T37576321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Jim |
E934829
|
entity |
| Predicate | hasColleagueInScene |
—
|
GENERATED |
| Object | Pam Beesly |
—
|
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: hasColleagueInScene Context triple: [Asian Jim, hasColleagueInScene, Pam Beesly]
-
A.
hasCompanionColleague
Indicates that one entity has another entity as a colleague who also serves as a companion or close associate.
-
B.
hasColleagues
chosen
Indicates that one entity works alongside another in a professional or organizational context as colleagues.
-
C.
hasColleagueOffice
Indicates that one entity has an office that is shared with or located near the office of another colleague entity.
-
D.
hasSiblingCoStars
Indicates that two or more entities have appeared together as co-stars and are siblings in relation to each other.
-
E.
hasCollaborationIn
Indicates that two or more entities work together or jointly participate in a specific project, context, or domain.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.