Triple
T29069339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal |
E735769
|
entity |
| Predicate | hasVerseSinger |
P169575
|
FINISHED |
| Object | Ozuna |
—
|
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: Ozuna | Statement: [Criminal, hasVerseSinger, Ozuna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerseSinger Context triple: [Criminal, hasVerseSinger, Ozuna]
-
A.
hasVerseVocalist
chosen
Indicates that a person performs the vocal part specifically in the verse section of a musical work or recording.
-
B.
isSungBy
Indicates that a song, piece of music, or vocal performance is performed vocally by a particular singer or group of singers.
-
C.
hasAdditionalLyricsBy
Indicates that an entity (such as a musical work or track) includes extra or modified lyrics contributed by a specified person or group beyond the original lyricist.
-
D.
hasLyricalVariant
Indicates that one item has an alternative version that differs in its lyrics while remaining related to the original.
-
E.
hasLyricsIn
Indicates that the lyrics of a work are written or available 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 10:19 a.m.