Triple
T18952900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Ladder |
E463698
|
entity |
| Predicate | hasDocumentaryType |
P133929
|
FINISHED |
| Object | Netflix documentary film |
—
|
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: Netflix documentary film | Statement: [Sky Ladder, hasDocumentaryType, Netflix documentary film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDocumentaryType Context triple: [Sky Ladder, hasDocumentaryType, Netflix documentary film]
-
A.
hasDocumentaryAboutIt
Indicates that there exists a documentary film or program whose subject matter is focused on the referenced entity.
-
B.
madeDocumentary
Indicates that one entity created or produced a documentary film or program about another entity.
-
C.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
-
D.
documentaryReleasedOn
Indicates that a specific documentary was released on a particular date.
-
E.
hasInteractiveFilm
Indicates that an entity is associated with, offers, or features an interactive film experience.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d544fef8819091147189ddd89617 |
completed | April 20, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, noon