Triple
T3068158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Teacher (miniseries) |
E62154
|
entity |
| Predicate | contentAdvisory |
P36218
|
FINISHED |
| Object | depictions of sexual abuse |
—
|
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: depictions of sexual abuse | Statement: [A Teacher (miniseries), contentAdvisory, depictions of sexual abuse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentAdvisory Context triple: [A Teacher (miniseries), contentAdvisory, depictions of sexual abuse]
-
A.
hasContentRating
chosen
Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
-
B.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
C.
primaryBodyAdvised
Indicates that one entity has been formally advised or counseled by another entity that serves as its main or primary advising body.
-
D.
contentLicenseAllows
Indicates that a content license grants permission for a specified use or action involving the content.
-
E.
advises
Indicates that one entity provides guidance, recommendations, or counsel 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.