Triple
T10812138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabin in the Sky |
E255127
|
entity |
| Predicate | castFeature |
P95881
|
FINISHED |
| Object | all-Black cast |
—
|
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: all-Black cast | Statement: [Cabin in the Sky, castFeature, all-Black cast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castFeature Context triple: [Cabin in the Sky, castFeature, all-Black cast]
-
A.
castType
Indicates the specific kind or category of casting relationship that exists between two entities.
-
B.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
C.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
-
D.
featuresCastFrom
Indicates that a work (such as a film or show) includes a cast member who originates from a specified source or production.
-
E.
castingType
Indicates the specific method or category of casting used to transform or represent one entity in terms of another.
- F. None of above. chosen
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:18 p.m.