Triple
T29894087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Den allvarsamma leken |
E759229
|
entity |
| Predicate | filmmakerAssociatedWith |
P121489
|
FINISHED |
| Object | Pernilla August |
—
|
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: Pernilla August | Statement: [Den allvarsamma leken, filmmakerAssociatedWith, Pernilla August]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmmakerAssociatedWith Context triple: [Den allvarsamma leken, filmmakerAssociatedWith, Pernilla August]
-
A.
filmDirectorOfAssociatedWork
Indicates that a person serves as the director of the specified creative work (such as a film or related audiovisual production).
-
B.
directorOfWorkAboutSubject
Indicates that a person is the director of a creative work whose content or focus is about a specified subject.
-
C.
directorAssociatedWith
chosen
Indicates a relationship where a director is professionally connected to, responsible for, or involved with a particular entity (such as a work, organization, or project).
-
D.
directorOfWorkFeaturingSubject
Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
-
E.
filmDirectorWorkedWith
Indicates that a film director has collaborated professionally with another person on one or more film projects.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67729a7ac8190b99cf3fcc0e2c60c |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:03 p.m.