Triple
T9688801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kany García |
E234485
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kany García |
E234485
|
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: Kany García | Statement: [Kany García, name, Kany García]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kany García Context triple: [Kany García, name, Kany García]
-
A.
Kany García
chosen
Kany García is a Puerto Rican singer-songwriter known for her emotive Latin pop and ballads, multiple Latin Grammy Awards, and advocacy for LGBTQ+ rights.
-
B.
Natalia Lafourcade
Natalia Lafourcade is a Mexican singer-songwriter and producer known for her blend of pop, folk, and traditional Latin American music, as well as her critically acclaimed, Grammy-winning albums.
-
C.
Thalía
Thalía is a Mexican singer, actress, and businesswoman widely known as the "Queen of Latin Pop" for her influential music career and telenovela roles.
-
D.
Karol G
Karol G is a Colombian reggaeton and Latin trap singer-songwriter known for her chart-topping hits and major influence in contemporary Latin urban music.
-
E.
Osorio Balvín
Osorio Balvín is the surname of Colombian reggaeton singer and global Latin music star J Balvin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d019d40819095059a4d6167900a |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1911427d48190855506ab61f8a2ce |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.