Triple
T8484894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tu Foto |
E200807
|
entity |
| Predicate | associatedWithArtistImage |
P27923
|
FINISHED |
| Object | romantic reggaeton singer |
—
|
LITERAL 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: romantic reggaeton singer | Statement: [Tu Foto, associatedWithArtistImage, romantic reggaeton singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithArtistImage Context triple: [Tu Foto, associatedWithArtistImage, romantic reggaeton singer]
-
A.
isAssociatedWithArtistImage
chosen
Indicates a relationship where an entity is linked or connected to an image that represents or depicts an artist.
-
B.
associatedWithArtistGroup
Indicates that an entity has a relationship or connection with a particular artist group or collective.
-
C.
associatedWithArtistStudio
Indicates that an entity has a relationship or connection to a particular artist’s studio, such as being located in, created in, or otherwise linked to that studio.
-
D.
coverArtistOf
Indicates that one entity is the artist who created the cover artwork for another entity, such as a book, album, or publication.
-
E.
linkedArtist
Indicates that there is an associated or related artist connected to the given entity.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:12 p.m.