Triple
T22094074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Life as a Dog |
E545978
|
entity |
| Predicate | mpaaRatingInUnitedStates |
P1959
|
FINISHED |
| Object | PG-13 |
—
|
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: PG-13 | Statement: [My Life as a Dog, mpaaRatingInUnitedStates, PG-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mpaaRatingInUnitedStates Context triple: [My Life as a Dog, mpaaRatingInUnitedStates, PG-13]
-
A.
mpaaRating
chosen
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
B.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
C.
TVRatingUS
Indicates the television content rating assigned to a program under the U.S. TV parental guidelines system.
-
D.
TVRating
Indicates the content rating assigned to a television program, reflecting its suitability for specific audiences.
-
E.
televisionRatingUS
Indicates the official content rating assigned to a television program under the United States TV rating system.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.