Triple
T25542683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetener World Tour |
E640212
|
entity |
| Predicate | liveFilmDistributor |
P39384
|
FINISHED |
| Object | Netflix |
—
|
NE NERFINISHED |
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 | Statement: [Sweetener World Tour, liveFilmDistributor, Netflix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveFilmDistributor Context triple: [Sweetener World Tour, liveFilmDistributor, Netflix]
-
A.
distributesFilmsFor
Indicates that one entity handles the distribution of films on behalf of another entity.
-
B.
distributedFilm
chosen
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
C.
distributedFilmsFrom
Indicates that one entity served as the distributor for films originating from another entity or source.
-
D.
filmSelection
Indicates the act or result of choosing a particular film from a set of available options.
-
E.
showedFilm
Indicates that one entity presented or screened a film for another entity or audience.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f895278881909c376fc06b290c56 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:26 p.m.