Triple
T22129010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poodle Hat |
E546860
|
entity |
| Predicate | parodyOf |
P10352
|
FINISHED |
| Object | Hot in Herre |
—
|
NE NERFINISHED |
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: Hot in Herre | Statement: [Poodle Hat, parodyOf, Hot in Herre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot in Herre Context triple: [Poodle Hat, parodyOf, Hot in Herre]
-
A.
Hot in Herre
chosen
"Hot in Herre" is a 2002 hip hop party anthem by Nelly that became a major commercial hit and one of his signature songs.
-
B.
She Was Hot
"She Was Hot" is a 1983 rock song by The Rolling Stones, released as a single from their album "Undercover."
-
C.
She's a Hot One
"She's a Hot One" is a country song featured on Luke Bryan's 2017 studio album "What Makes You Country."
-
D.
Red Hot
"Red Hot" is a 1993 drama film set in Soviet-era Latvia, following a group of young musicians who risk severe punishment to secretly play Western rock music.
-
E.
Burnin' Hot
"Burnin' Hot" is a funk-infused R&B single by Jermaine Jackson from his early-1980s album "Let's Get Serious."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12983acfc81908013f66acb31f198 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.