Triple
T35746599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ridicule |
E1033198
|
entity |
| Predicate | filmRatingFrance |
P183614
|
FINISHED |
| Object | U |
—
|
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: U | Statement: [Ridicule, filmRatingFrance, U]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmRatingFrance Context triple: [Ridicule, filmRatingFrance, U]
-
A.
filmRatingCanada
Indicates the film’s official content rating as assigned by Canadian film classification authorities.
-
B.
filmRatingKorea
Indicates that a film has a specific official content rating assigned by the Korean rating authority.
-
C.
filmRatingRegion
Indicates the region or country for which a film’s content rating or classification is applicable.
-
D.
bbfcRatingUK
Indicates the film or media content rating assigned by the British Board of Film Classification (BBFC) in the United Kingdom.
-
E.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1f64f1081908cc2774840684310 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.