Triple
T36085016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up Now F*ck Next |
E1043751
|
entity |
| Predicate | hasProfanityInTitle |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfanityInTitle Context triple: [Up Now F*ck Next, hasProfanityInTitle, true]
-
A.
hasCensorshipTitle
Indicates that an entity has been assigned a specific title or designation for censorship or regulatory control purposes.
-
B.
containsProfanity
Indicates that the referenced content includes one or more profane, vulgar, or offensive expressions.
-
C.
containsExplicitWordInTitle
chosen
Indicates that the title of an item includes at least one word that is considered explicit or profane.
-
D.
hasProvocativeTitle
Indicates that an entity possesses a title designed to attract attention or provoke a strong emotional or intellectual reaction.
-
E.
hasTitlePun
Indicates that an entity’s title involves a pun or wordplay, typically combining multiple meanings or sounds for humorous or clever effect.
- F. None of above.
Provenance (1 batch)
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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.