Triple
T38596392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can Your Pussy Do the Dog? |
E934091
|
entity |
| Predicate | hasInnuendo |
P75408
|
FINISHED |
| Object | sexual innuendo |
—
|
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: sexual innuendo | Statement: [Can Your Pussy Do the Dog?, hasInnuendo, sexual innuendo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInnuendo Context triple: [Can Your Pussy Do the Dog?, hasInnuendo, sexual innuendo]
-
A.
usesDoubleEntendre
chosen
Indicates that one entity employs language or expressions with a double meaning, often to convey a hidden or suggestive message alongside a literal one.
-
B.
hasRumoredSubtext
Indicates that something is believed or speculated to contain an implied or hidden meaning that is not explicitly stated.
-
C.
hasIronicMeaning
Indicates that something conveys a meaning opposite to or incongruent with its literal expression, creating an ironic effect.
-
D.
hasProvocativeTheme
Indicates that something contains themes or content intended to provoke strong emotional, intellectual, or moral reactions.
-
E.
hasFetish
Indicates a relationship where one entity has a strong sexual fixation, attraction, or arousal specifically focused on another entity or on a particular object, body part, or activity.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a016ebba0448190b5319243e1b2feca |
completed | May 11, 2026, 5:52 a.m. |
| PD | Predicate disambiguation | batch_6a016d2486b4819085efe197ee21b707 |
completed | May 11, 2026, 5:46 a.m. |
Created at: May 3, 2026, 4:32 p.m.