Triple
T36650527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar: The Ultimate Collection Vol. 3 |
E904840
|
entity |
| Predicate | featuresHitSongsBy |
P144428
|
FINISHED |
| Object | Don Omar |
E249441
|
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: Don Omar | Statement: [Don Omar: The Ultimate Collection Vol. 3, featuresHitSongsBy, Don Omar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresHitSongsBy Context triple: [Don Omar: The Ultimate Collection Vol. 3, featuresHitSongsBy, Don Omar]
-
A.
featuresSongFrom
Indicates that one musical work includes or incorporates a song originating from another source.
-
B.
featuresGreatestHits
chosen
Indicates that an entity (such as a media item, collection, or product) includes or highlights a selection of the most popular or successful works associated with another entity.
-
C.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
D.
featuresSongAbout
Indicates that one entity includes or presents a song whose subject or content is about another entity.
-
E.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
- F. None of above.
Provenance (4 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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a20bbd62c81909b5cb85991528a82 |
completed | June 23, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.