Triple
T13595303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You've Got It Bad Girl |
E324801
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | You've Got It Bad Girl |
E324801
|
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: You've Got It Bad Girl | Statement: [You've Got It Bad Girl, title, You've Got It Bad Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You've Got It Bad Girl Context triple: [You've Got It Bad Girl, title, You've Got It Bad Girl]
-
A.
You've Got It Bad Girl
chosen
"You've Got It Bad Girl" is a soulful R&B track by Stevie Wonder from his 1972 album of the same name, showcasing his signature blend of rich vocals and innovative production.
-
B.
I Got the Girl
"I Got the Girl" is a pop-rock song by American band Crush, featured on one of their music releases.
-
C.
The Girl Can’t Help It
The Girl Can’t Help It is a 1956 American musical comedy film, famed for its rock-and-roll soundtrack and starring Jayne Mansfield.
-
D.
She’s Got You
"She’s Got You" is a classic 1962 country-pop ballad, best known as one of Patsy Cline’s signature heartbreak songs.
-
E.
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.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc762a08190b5d29cef9923da84 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.