Triple
T13210933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Scrubs |
E314486
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object | Unpretty |
E625132
|
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: Unpretty | Statement: [No Scrubs, followedBySingle, Unpretty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unpretty Context triple: [No Scrubs, followedBySingle, Unpretty]
-
A.
Unpretty
chosen
"Unpretty" is a 1999 R&B song by American girl group TLC that addresses themes of self-esteem, body image, and societal beauty standards.
-
B.
Not Pretty Enough
"Not Pretty Enough" is a hit country song by Australian singer-songwriter Kasey Chambers that brought her widespread commercial success and critical recognition.
-
C.
Ugly Truth
"Ugly Truth" is a song by the American rock band Soundgarden from their 1989 album Louder Than Love.
-
D.
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.
-
E.
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."
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.