Triple
T34962335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caretaker |
E1008291
|
entity |
| Predicate | featuresFirstOfficer |
P44545
|
FINISHED |
| Object | Chakotay |
E308616
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chakotay | Statement: [Caretaker, featuresFirstOfficer, Chakotay]
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 (4 batches)
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. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a382c9b2358819082e88577f0c96fbc |
completed | June 21, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.