Triple
T16457498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sausage Party |
E399718
|
entity |
| Predicate | motionPictureRatingReason |
P13624
|
FINISHED |
| Object | strong crude sexual content |
—
|
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: strong crude sexual content | Statement: [Sausage Party, motionPictureRatingReason, strong crude sexual content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motionPictureRatingReason Context triple: [Sausage Party, motionPictureRatingReason, strong crude sexual content]
-
A.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
B.
USRating
chosen
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
C.
ratedFor
Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
-
D.
hasFilmRatingSystemIssueWith
Indicates that there is a problem, conflict, or inconsistency involving a particular film rating system in relation to another entity.
-
E.
PEGIRating
Indicates the creditworthiness assessment assigned by the PEGI rating system, reflecting the level of financial risk associated with an entity.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7dfd188190b03e9b4151a4d3d8 |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.