Triple
T34370485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall |
E882136
|
entity |
| Predicate | relatedOccupationTerm |
—
|
GENERATED |
| Object | marshal |
—
|
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: relatedOccupationTerm Context triple: [Marshall, relatedOccupationTerm, marshal]
-
A.
relatedProfession
Indicates that two entities have professions that are connected or associated in some meaningful way, such as being in the same field, industry, or professional domain.
-
B.
occupationalAssociation
Indicates a relationship where one entity is connected to another through a job, profession, or work-related role.
-
C.
aliasOfOccupation
chosen
Indicates that one occupation term is an alternative name or alias for another occupation.
-
D.
relatedCommunityOccupation
Indicates that an entity has an occupation or role that is associated with, serves, or is otherwise connected to a particular community.
-
E.
involvedOccupationOf
Indicates that an entity participates in or is associated with a particular occupation or professional role.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.