Triple
T34962335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caretaker |
E1008291
|
entity |
| Predicate | featuresFirstOfficer |
—
|
GENERATED |
| Object | Chakotay |
—
|
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: featuresFirstOfficer Context triple: [Caretaker, featuresFirstOfficer, Chakotay]
-
A.
formerFirstOfficer
Indicates that one entity previously held the role of first officer in relation to another entity but no longer does.
-
B.
firstOfficer
chosen
Indicates that one entity serves as the first officer (second-in-command) to another entity, typically in a hierarchical or command structure.
-
C.
firstCrewMember
Indicates that the subject is the first (earliest or primary) member within a specified crew or group.
-
D.
firstOfficerSpecies
Indicates that the specified species is the species to which the first officer of a given crew, vessel, or organization belongs.
-
E.
crewDepicted
Indicates that a particular crew or group of crew members is visually represented or shown in some form of media or depiction.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.