Triple
T16250528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassie Ventura |
E394490
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Official Girl |
E1202401
|
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: Official Girl | Statement: [Cassie Ventura, notableSingle, Official Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Official Girl Context triple: [Cassie Ventura, notableSingle, Official Girl]
-
A.
Official Girl
chosen
"Official Girl" is an R&B song by American singer Cassie, featuring Lil Wayne, that explores themes of commitment and relationship status.
-
B.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
C.
Every Girl
"Every Girl" is a 2009 hip hop single by Young Money Entertainment featuring several of the label’s artists, known for its catchy hook and sexually explicit lyrics.
-
D.
Perfect Girl
"Perfect Girl" is a song by the Japanese all-girl rock band Afterglow from the BanG Dream! multimedia franchise.
-
E.
Dream Girl
Dream Girl is a popular Indian romantic comedy film produced by Ekta Kapoor, known for its quirky premise and humorous take on love and identity.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459606f88190a53905186f7f73be |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b1e22c8190bddca67661121c2d |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.