Triple
T13940731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Control (album) |
E335240
|
entity |
| Predicate | hasMusicVideoFor |
P3287
|
FINISHED |
| Object | Nasty (song) |
E565243
|
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: Nasty (song) | Statement: [Control (album), hasMusicVideoFor, Nasty (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasty (song) Context triple: [Control (album), hasMusicVideoFor, Nasty (song)]
-
A.
Hello Nasty
Hello Nasty is a critically acclaimed 1998 studio album by the Beastie Boys that blends hip hop, electronic, and experimental sounds, featuring hits like "Intergalactic."
-
B.
Nasty Girl
"Nasty Girl" is a 1982 funk-pop song by the girl group Vanity 6, produced and written by Prince, that became one of their signature hits.
-
C.
Nasty Girl
"Nasty Girl" is a 2004 hip hop single by rapper Nelly, known for its club-oriented sound and inclusion on his album "Sweat."
-
D.
Naughty Girl
"Naughty Girl" is a hit R&B song by Beyoncé from her debut solo album, noted for its sultry vocals and Middle Eastern–influenced production.
-
E.
Nasty
chosen
"Nasty" is a pop single by English singer Pixie Lott, known for its upbeat, retro-inspired sound and playful attitude.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac89ebd48190ab448f74daf82a96 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:17 p.m.