Triple
T22034880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yandel |
E544174
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Abusadora |
—
|
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: Abusadora | Statement: [Yandel, notableSong, Abusadora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abusadora Context triple: [Yandel, notableSong, Abusadora]
-
A.
Abusadora
chosen
"Abusadora" is a popular reggaeton track by Puerto Rican duo Wisin & Yandel, known for its energetic beat and club-oriented style.
-
B.
Maltrata
Maltrata is a municipality in the Mexican state of Veracruz, located in the mountainous central region and integrated into the Orizaba metropolitan area.
-
C.
Malafemmina
Malafemmina is a song by Italian rock singer-songwriter Gianna Nannini, known for its intense, emotive style and powerful vocals.
-
D.
Ice Woman
Ice Woman is the nickname of American explorer and photographer Louise Arner Boyd, renowned for her pioneering expeditions and scientific work in the Arctic.
-
E.
Menage Atroz
Menage Atroz is a film production company known for its involvement in the creation of the drama film "Biutiful."
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f0594881909caf4fbc3e0a2d50 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.