Triple
T6022686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixie Lott |
E134100
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Boys and Girls |
E565238
|
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 and Girls | Statement: [Pixie Lott, single, Boys and Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys and Girls Context triple: [Pixie Lott, single, Boys and Girls]
-
A.
Boys and Girls
chosen
"Boys and Girls" is a pop song by English singer Pixie Lott that became one of her early hit singles.
-
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.
One of the Boys
"One of the Boys" is the 2008 major-label breakthrough pop album by Katy Perry, featuring hits like "I Kissed a Girl" and "Hot n Cold" that established her international fame.
-
D.
Little Girls
"Little Girls" is a controversial new wave song by American band Oingo Boingo, known for its darkly satirical lyrics and upbeat, quirky musical style.
-
E.
Little Girls
"Little Girls" is a darkly comedic song from the musical Annie, sung by the villainous Miss Hannigan as she laments having to care for the orphaned girls.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbbf03c8190baf449a5d393af5c |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11ce9ea008190bc9056ee1822fd0f |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:07 p.m.