Triple
T14811094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisha |
E348178
|
entity |
| Predicate | sharesWorkWith |
P26607
|
FINISHED |
| Object | Trinidad Cardona |
E348177
|
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: Trinidad Cardona | Statement: [Aisha, sharesWorkWith, Trinidad Cardona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trinidad Cardona Context triple: [Aisha, sharesWorkWith, Trinidad Cardona]
-
A.
Trinidad Cardona
chosen
Trinidad Cardona is an American singer and songwriter known for his viral R&B hit "Jennifer" and for performing on the official soundtrack of the 2022 FIFA World Cup.
-
B.
Saundra Santiago
Saundra Santiago is an American actress best known for her role as Detective Gina Calabrese on the 1980s television crime drama "Miami Vice."
-
C.
Johanna Colón
Johanna Colón is a young American actress best known for her role in the film "Troop Zero" and for her viral dance performances as a child.
-
D.
Gladys Reyes
Gladys Reyes is a Filipino actress best known for her acclaimed villain roles in Philippine television dramas and films.
-
E.
Angelique Cabral
Angelique Cabral is an American actress known for her comedic and dramatic roles in television and film, including prominent work in ensemble sitcoms.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf374f288190aa918b1b6b507420 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b47389c8190ab0a46e3b4653a2a |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:46 a.m.