Triple
T23842064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil-Doll |
E591013
|
entity |
| Predicate | filmRatingSystemOriginal |
P133512
|
FINISHED |
| Object | Production Code era |
—
|
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: Production Code era | Statement: [The Devil-Doll, filmRatingSystemOriginal, Production Code era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmRatingSystemOriginal Context triple: [The Devil-Doll, filmRatingSystemOriginal, Production Code era]
-
A.
filmRatingSystemEra
chosen
Indicates the specific historical period or version of a film rating system under which a film’s rating was assigned.
-
B.
originallyRatedByCatholicLegionOfDecency
Indicates that the work was initially assigned a content or moral rating by the Catholic Legion of Decency.
-
C.
originalRating
Indicates the initial or baseline rating assigned to something before any updates, changes, or adjustments are made.
-
D.
ageRatingSystem
Indicates the classification scheme or standard used to assign age-appropriateness ratings to content.
-
E.
hasFilmRatingSystemIssueWith
Indicates that there is a problem, conflict, or inconsistency involving a particular film rating system in relation to another 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c888c13c8190b85d2cd425ee84dc |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.