Triple
T21116968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Driving Lessons |
E520323
|
entity |
| Predicate | screenDebutGenreForActor |
P142917
|
FINISHED |
| Object | Rupert Grint – first major non-Harry Potter role |
—
|
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: Rupert Grint – first major non-Harry Potter role | Statement: [Driving Lessons, screenDebutGenreForActor, Rupert Grint – first major non-Harry Potter role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenDebutGenreForActor Context triple: [Driving Lessons, screenDebutGenreForActor, Rupert Grint – first major non-Harry Potter role]
-
A.
genreOfWorkActedIn
Indicates that an entity is the genre category of a work in which another entity performed or acted.
-
B.
hasFilmographyType
Indicates the type or category of film-related work associated with an entity (e.g., actor, director, producer) within its filmography.
-
C.
knownForGenre
Indicates that an entity is recognized or notable for working in, producing, or being associated with a particular genre.
-
D.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
E.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72106a3b48190a0efa51a74ae21f0 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:55 p.m.