Triple
T35115685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bildad |
E1013427
|
entity |
| Predicate | relationshipToJob |
—
|
GENERATED |
| Object | dialogue partner |
—
|
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: relationshipToJob Context triple: [Bildad, relationshipToJob, dialogue partner]
-
A.
employerRelationship
Indicates a relationship in which one entity acts as the employer of another, having authority to hire, direct, and compensate the other party for work performed.
-
B.
hasRelationshipToWork
chosen
Indicates a relationship where an entity has a specific connection, role, or association with a particular work or piece of work.
-
C.
relationshipToOrganization
Indicates the nature or type of connection an entity has with a specific organization, such as affiliation, membership, or role.
-
D.
workTitleRelation
Indicates a relationship where one entity is the title or name of a work (such as a book, film, or artwork) associated with another entity.
-
E.
workRelatedTo
Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of another entity.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.