Triple
T24900779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janice Rand |
E623570
|
entity |
| Predicate | laterShipAssignment |
P146596
|
FINISHED |
| Object | USS Excelsior (NCC-2000) |
—
|
NE NERFINISHED |
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: USS Excelsior (NCC-2000) | Statement: [Janice Rand, laterShipAssignment, USS Excelsior (NCC-2000)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterShipAssignment Context triple: [Janice Rand, laterShipAssignment, USS Excelsior (NCC-2000)]
-
A.
shipAssignment
Indicates the association between a ship and the specific task, route, or entity it has been assigned to.
-
B.
laterAssignment
chosen
Indicates that one entity is assigned or allocated to another at a later time than some reference assignment or event.
-
C.
laterShipType
Indicates that one ship type chronologically succeeds or is introduced after another ship type.
-
D.
arrivalByShip
Indicates that an entity reaches a destination specifically by traveling on a ship.
-
E.
shipCompleted
Indicates that a shipping process or delivery has been fully completed for the associated item or order.
- F. None of above.
Provenance (3 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:27 a.m.