Triple
T8207365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Miracle Woman |
E191719
|
entity |
| Predicate | hasFilmRatingEra |
P26306
|
FINISHED |
| Object | pre-Motion Picture Production Code enforcement |
—
|
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: pre-Motion Picture Production Code enforcement | Statement: [The Miracle Woman, hasFilmRatingEra, pre-Motion Picture Production Code enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmRatingEra Context triple: [The Miracle Woman, hasFilmRatingEra, pre-Motion Picture Production Code enforcement]
-
A.
hasFilmRatingAustralia
Indicates that an entity (typically a film or audiovisual work) has a specific official classification or rating assigned by the Australian film rating system.
-
B.
hasFilmScore
Indicates that one entity serves as the musical score or soundtrack composed for a particular film.
-
C.
ageRatingSystem
Indicates the classification scheme or standard used to assign age-appropriateness ratings to content.
-
D.
filmEra
chosen
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
E.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726b520081908ce4a03bd14dfcdf |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:43 p.m.