Triple
T29760811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Newt Jorden |
E753761
|
entity |
| Predicate | associatedWithCorporation |
—
|
GENERATED |
| Object | Weyland-Yutani Corporation |
—
|
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: associatedWithCorporation Context triple: [Rebecca Newt Jorden, associatedWithCorporation, Weyland-Yutani Corporation]
-
A.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
B.
associatedFort
Indicates that one entity is connected or linked to a particular fort, typically as its related or corresponding fortification.
-
C.
belongsToCompany
chosen
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
D.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
E.
associatedWithCompanyMarket
Indicates a relationship where a company is linked or connected to a specific market in which it operates, targets, or has a presence.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 28, 2026, 8:32 p.m.