Triple
T7977726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Hoskins as Mr. Fezziwig |
E185486
|
entity |
| Predicate | ageRatingRegion |
P1959
|
FINISHED |
| Object | PG (US) |
—
|
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 (US) | Statement: [Bob Hoskins as Mr. Fezziwig, ageRatingRegion, PG (US)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRatingRegion Context triple: [Bob Hoskins as Mr. Fezziwig, ageRatingRegion, PG (US)]
-
A.
ageRatingSystem
Indicates the classification scheme or standard used to assign age-appropriateness ratings to content.
-
B.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
C.
CPVRating
Indicates a content rating relationship that specifies the level of suitability or restriction of some media or material according to the CPV rating system.
-
D.
mpaaRating
chosen
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
E.
TVRatingUS
Indicates the television content rating assigned to a program under the U.S. TV parental guidelines 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.