Triple
T23212044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosario |
E580621
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Rosalia |
—
|
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: Rosalia | Statement: [Rosario, relatedName, Rosalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosalia Context triple: [Rosario, relatedName, Rosalia]
-
A.
Rosalia
Rosalia is a character in the musical "West Side Story," depicted as a young Puerto Rican woman who is part of the Sharks' community.
-
B.
Rosalia
chosen
Rosalia is a feminine given name of Latin origin, commonly associated with the rose and used in various European cultures.
-
C.
Rosalía
Rosalía is a Spanish singer and songwriter known for blending flamenco with contemporary pop and urban music, gaining international acclaim for her innovative sound and visuals.
-
D.
Siparia
Siparia is a town in southern Trinidad known historically for its oil industry and its multicultural religious pilgrimage site, La Divina Pastora.
-
E.
Kali Uchis
Kali Uchis is a Colombian-American singer and songwriter known for her genre-blending style that fuses R&B, soul, and Latin influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191620378819096362252c3b819b6 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.