Triple
T14808664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanity |
E348109
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nasty Girl |
E798167
|
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 Girl | Statement: [Vanity, notableWork, Nasty Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasty Girl Context triple: [Vanity, notableWork, Nasty Girl]
-
A.
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."
-
B.
Nasty Girl
chosen
"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.
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.
-
D.
Bad Girl
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
-
E.
Bad Girl
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:45 a.m.