Triple
T22821623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turn It Up |
E565245
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Boys and Girls |
—
|
NE NERFINISHED |
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: Boys and Girls | Statement: [Turn It Up, hasPart, Boys and Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys and Girls Context triple: [Turn It Up, hasPart, Boys and Girls]
-
A.
Boys and Girls
"Boys and Girls" is a 2000 romantic comedy film starring Freddie Prinze Jr., Claire Forlani, and Jason Biggs that follows two college students whose longtime antagonistic relationship slowly turns into romance.
-
B.
Boys and Girls
chosen
"Boys and Girls" is a pop song by English singer Pixie Lott that became one of her early hit singles.
-
C.
Boys and Girls
"Boys and Girls" is a novel by Australian author Nikki Gemmell that continues her exploration of female identity, sexuality, and relationships in contemporary society.
-
D.
Boys & Girls
Boys & Girls is a musical group best known for their work on the album "Goin’ to the Party."
-
E.
Boys & Girls
"Boys & Girls" is a music release, likely an album or EP, known for including the track "Be Mine."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd11b048190869c0c8a0e3095d7 |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.