Triple
T13052072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomad boards the USS Enterprise |
E327470
|
entity |
| Predicate | diegeticTime |
P11197
|
FINISHED |
| Object | 23rd century |
—
|
LITERAL 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: 23rd century | Statement: [Nomad boards the USS Enterprise, diegeticTime, 23rd century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diegeticTime Context triple: [Nomad boards the USS Enterprise, diegeticTime, 23rd century]
-
A.
diegeticStatus
Indicates the relationship between an element and the narrative world, specifying whether it exists within the story’s reality (perceivable by characters) or outside it (only for the audience).
-
B.
timeOfNarrative
chosen
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
C.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
D.
dimensionOfTime
Indicates a temporal measurement or extent that specifies how long something lasts or when it occurs.
-
E.
eraDuration
Indicates the length of time that a particular era or period spans.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.