Triple
T11472759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Pimple Popper |
E271948
|
entity |
| Predicate | hasContentWarning |
P36218
|
FINISHED |
| Object | viewer discretion advised |
—
|
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: viewer discretion advised | Statement: [Dr. Pimple Popper, hasContentWarning, viewer discretion advised]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContentWarning Context triple: [Dr. Pimple Popper, hasContentWarning, viewer discretion advised]
-
A.
hasContentRating
chosen
Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
-
B.
hasHealthWarningOnPackaging
Indicates that an item’s packaging displays a health-related warning message or symbol.
-
C.
warnsAbout
Indicates that one entity alerts or cautions another entity about a potential danger, risk, or problem.
-
D.
requiresNoticeContent
Indicates that one party must provide specific informational content in a notice as a condition or requirement for the related action or relationship.
-
E.
hasUserGeneratedContent
Indicates that the subject contains or is associated with content created directly by users rather than by the system or administrators.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294b3f388190a587c358313f7260 |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.