Triple
T5699535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bella Mafia |
E125623
|
entity |
| Predicate | hasArtistGender |
P20803
|
FINISHED |
| Object | female rapper |
—
|
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: female rapper | Statement: [La Bella Mafia, hasArtistGender, female rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistGender Context triple: [La Bella Mafia, hasArtistGender, female rapper]
-
A.
hasPerformerGender
chosen
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
B.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
C.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
D.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
E.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0241030408190be774a5d2ca6e999 |
completed | March 22, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.