Triple
T36785839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSEA Protector |
E908908
|
entity |
| Predicate | hasCommunicationsOfficer |
—
|
GENERATED |
| Object | Lieutenant Tawny Madison |
—
|
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: hasCommunicationsOfficer Context triple: [NSEA Protector, hasCommunicationsOfficer, Lieutenant Tawny Madison]
-
A.
hasOfficerLanguage
Indicates that an officer is able or authorized to communicate in a specified language.
-
B.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
C.
hasAppointedOfficial
Indicates that one entity has formally selected and installed another entity into an official position or role.
-
D.
hasOfficialReporter
Indicates that something (such as a case, decision, or proceeding) is associated with an officially designated reporter or publication that records it.
-
E.
hasChiefAdministrativeOfficer
Indicates that one entity serves as the chief administrative officer (the top executive responsible for overall administration and management) of another entity.
- F. None of above. chosen
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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.