Triple
T31755558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Nigel Channing |
E810547
|
entity |
| Predicate | firstAppearancePark |
—
|
GENERATED |
| Object | Epcot |
—
|
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: firstAppearancePark Context triple: [Dr. Nigel Channing, firstAppearancePark, Epcot]
-
A.
firstAppearanceInAttraction
Indicates that an entity makes its debut or is first introduced within a specific attraction.
-
B.
debutedInPark
chosen
Indicates that an entity made its first public appearance or introduction within a specific park.
-
C.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
-
D.
firstPopularAppearance
Indicates the earliest notable or widely recognized appearance of an entity in a public or popular context.
-
E.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:29 p.m.