Triple
T29908006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Note Samba |
E759591
|
entity |
| Predicate | hasPortugueseTitle |
P77724
|
FINISHED |
| Object | Samba de uma nota só |
—
|
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: Samba de uma nota só | Statement: [One Note Samba, hasPortugueseTitle, Samba de uma nota só]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortugueseTitle Context triple: [One Note Samba, hasPortugueseTitle, Samba de uma nota só]
-
A.
titleInPortuguese
chosen
Indicates that an entity has a specific title expressed in the Portuguese language.
-
B.
equivalentTitleInPortuguese
Indicates that one entity has a title that is the equivalent of another entity’s title, specifically in Portuguese.
-
C.
titleInBrazil
Indicates the title by which a work is known or released specifically in Brazil.
-
D.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
E.
hasLatinTitle
Indicates that an entity possesses a title or name expressed in Latin.
- F. None of above.
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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 29, 2026, 6:09 p.m.