Triple
T7207396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audio Push |
E148699
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Teach Me How to Jerk |
E648422
|
NE 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: Teach Me How to Jerk | Statement: [Audio Push, notableSong, Teach Me How to Jerk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teach Me How to Jerk Context triple: [Audio Push, notableSong, Teach Me How to Jerk]
-
A.
Teach Me How to Jerk
chosen
"Teach Me How to Jerk" is a hip hop dance track by Audio Push that helped popularize the jerkin' dance movement in the late 2000s.
-
B.
Cool Jerk
"Cool Jerk" is a 1960s R&B song best known for its catchy groove and enduring popularity as a classic dance tune.
-
C.
Jizz in My Pants
"Jizz in My Pants" is a comedic electropop song and digital short by The Lonely Island that parodies melodramatic dance-pop and premature ejaculation.
-
D.
It’s Me Bitches
"It's Me Bitches" is a 2007 hip hop single by Swizz Beatz known for its aggressive production and club-oriented sound.
-
E.
Freakin' Me
"Freakin' Me" is a track by will.i.am featured on his 2007 solo album "Songs About Girls," blending pop and hip-hop influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e969c5fc819096bc03bfba12d0cf |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbf0c014819088f80fccfc1d2341 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:52 p.m.