Triple
T29946463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samba de Uma Nota Só |
E760644
|
entity |
| Predicate | hasEnglishLyricsAdaptation |
P121206
|
FINISHED |
| Object | One Note Samba |
—
|
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: One Note Samba | Statement: [Samba de Uma Nota Só, hasEnglishLyricsAdaptation, One Note Samba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishLyricsAdaptation Context triple: [Samba de Uma Nota Só, hasEnglishLyricsAdaptation, One Note Samba]
-
A.
hasEnglishLyricAdapter
Indicates that an entity has a specific person or agent responsible for adapting its lyrics into English.
-
B.
lyricAdaptationBy
Indicates that the lyrics of a work have been adapted, modified, or reinterpreted by a specified agent or creator.
-
C.
lyricsAdaptedFrom
Indicates that the lyrics of one work are derived, adapted, or modified from the lyrics of another pre-existing work.
-
D.
hasOfficialLyrics
Indicates that an entity (such as a song or musical work) has lyrics that are formally recognized or authorized as the official version.
-
E.
adaptedInLanguage
chosen
Indicates that a work or content has been modified or translated so it can be presented or understood in a specified language.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 29, 2026, 6:24 p.m.