Triple
T12366407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bebel Gilberto |
E294879
|
entity |
| Predicate | hasDiscographyItem |
P1995
|
FINISHED |
| Object | All in One |
E977382
|
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: All in One | Statement: [Bebel Gilberto, hasDiscographyItem, All in One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All in One Context triple: [Bebel Gilberto, hasDiscographyItem, All in One]
-
A.
All in One
chosen
"All in One" is a 2009 bossa nova and electronic-infused studio album by Brazilian singer Bebel Gilberto, showcasing her smooth vocals and contemporary reinterpretation of Brazilian music.
-
B.
All for One
"All for One" is a song featured on the album "The Boss."
-
C.
Once and for All
"Once and for All" is a climactic, rallying anthem from the stage musical Newsies that captures the newsboys’ unified stand against injustice.
-
D.
Everything at Once
"Everything at Once" is a song by American country music artist Travis Tritt.
-
E.
All Over
"All Over" is a popular Afrobeats love song by Nigerian singer Tiwa Savage that helped solidify her status as a leading figure in contemporary African pop music.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa502988190ba170dee90d9f394 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63473efd481909b2061f3b19e1aaf |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.