Triple
T31626194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time Tunnel |
E807030
|
entity |
| Predicate | notableEpisodeSetting |
—
|
GENERATED |
| Object | Titanic |
—
|
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: notableEpisodeSetting Context triple: [The Time Tunnel, notableEpisodeSetting, Titanic]
-
A.
notableEpisode
Indicates that a particular episode is especially significant, memorable, or noteworthy in relation to the subject.
-
B.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
C.
notableEpisodeEvent
Indicates that an event is especially significant or noteworthy within the context of a particular episode.
-
D.
notableAsSettingOf
chosen
Indicates that a place or environment is recognized as the setting where the events of a particular work (e.g., book, film, story) take place.
-
E.
notableShowLocation
Indicates that a show or performance is notably associated with, took place at, or is best known for occurring in a particular location.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 10:43 p.m.