Triple
T32802459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl from Rio |
E838931
|
entity |
| Predicate | sampleSourceLyricist |
P98210
|
FINISHED |
| Object | Vinícius de Moraes |
—
|
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: Vinícius de Moraes | Statement: [Girl from Rio, sampleSourceLyricist, Vinícius de Moraes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleSourceLyricist Context triple: [Girl from Rio, sampleSourceLyricist, Vinícius de Moraes]
-
A.
hasLyricsSource
Indicates that one entity serves as the source or origin of the lyrics associated with another entity.
-
B.
sampledSongwriter
chosen
Indicates that one entity has used or incorporated a portion of another entity’s songwriting or composition as a sample in a new work.
-
C.
lyricalSourceStatus
Indicates the status or condition of a source from which lyrics are obtained or derived.
-
D.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
E.
lyricistOfSourcePoem
Indicates that one entity is the writer of the original poem on which another work (such as a song or adaptation) is based.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:15 a.m.