Triple
T9424865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parade |
E227240
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Girls & Boys |
E632649
|
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: Girls & Boys | Statement: [Parade, featuresSong, Girls & Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girls & Boys Context triple: [Parade, featuresSong, Girls & Boys]
-
A.
Girls & Boys
chosen
"Girls & Boys" is a pop-punk song by Good Charlotte, best known as one of the band’s early 2000s hits satirizing materialism and superficial relationships.
-
B.
Boys & Girls
Boys & Girls is the Grammy-winning debut studio album by American rock band Alabama Shakes, noted for its raw blend of soul, blues, and rock.
-
C.
Boys and Girls
"Boys and Girls" is a pop song by English singer Pixie Lott that became one of her early hit singles.
-
D.
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.
-
E.
The Girls
"The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c8f59dc8190854dfc0d287731c6 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107d677c08190a438659c170bab72 |
completed | April 4, 2026, 12:45 p.m. |
Created at: March 30, 2026, 7:49 p.m.