Triple
T3139872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Can’t Be Herself |
E65617
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Girl Can’t Be Herself |
E65617
|
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: Girl Can’t Be Herself | Statement: [Girl Can’t Be Herself, hasTitle, Girl Can’t Be Herself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl Can’t Be Herself Context triple: [Girl Can’t Be Herself, hasTitle, Girl Can’t Be Herself]
-
A.
Girl Can’t Be Herself
chosen
"Girl Can’t Be Herself" is a song by Alicia Keys that addresses themes of self-acceptance and rejecting societal beauty standards.
-
B.
She’s Not for You
"She’s Not for You" is a country song by Willie Nelson featured on his 1973 album *Shotgun Willie*.
-
C.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
D.
A Girl Like Me
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.
-
E.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57743e08190a1069c62e32f1bd4 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e11c508190b69c16dfb5313fc2 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.