Triple
T3996084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Girl Gone Bad |
E87100
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | A Girl Like Me |
E89216
|
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: A Girl Like Me | Statement: [Good Girl Gone Bad, previousWork, A Girl Like Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Girl Like Me Context triple: [Good Girl Gone Bad, previousWork, A Girl Like Me]
-
A.
A Girl Like Me
chosen
A Girl Like Me is Rihanna’s second studio album, featuring a blend of Caribbean-influenced pop and R&B that helped establish her as an international star.
-
B.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
C.
My Girl
"My Girl" is a classic 1964 soul song by The Temptations, celebrated for its smooth vocals, memorable bassline, and enduring status as one of Motown's signature hits.
-
D.
My Girl
My Girl is a 1991 coming-of-age comedy-drama film about an 11-year-old girl coping with loss and growing up, co-starring Dan Aykroyd, Jamie Lee Curtis, and Macaulay Culkin.
-
E.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c50f348819090ebfd8b5192c819 |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:34 p.m.