Triple
T12203808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hang Loose |
E290782
|
entity |
| Predicate | isTrackOn |
P3284
|
FINISHED |
| Object | Boys & Girls |
E980745
|
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: Boys & Girls | Statement: [Hang Loose, isTrackOn, Boys & Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys & Girls Context triple: [Hang Loose, isTrackOn, Boys & Girls]
-
A.
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.
-
B.
Boys & Girls
chosen
"Boys & Girls" is a music release, likely an album or EP, known for including the track "Hold On."
-
C.
Girls & Boys
"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.
-
D.
Girls & Boys
Girls & Boys is a one-woman stage play, famously performed by Carey Mulligan, that explores a woman's harrowing account of love, family, and sudden domestic tragedy.
-
E.
Boys and Girls
"Boys and Girls" is a pop song by English singer Pixie Lott that became one of her early hit singles.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7c9084819085e7d2f9038f409f |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685045cc8190836433b5682d8a7a |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:51 p.m.