Triple
T14695175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocsi Diaz |
E345136
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rocsi Diaz |
E345136
|
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: Rocsi Diaz | Statement: [Rocsi Diaz, name, Rocsi Diaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocsi Diaz Context triple: [Rocsi Diaz, name, Rocsi Diaz]
-
A.
Rocsi Diaz
chosen
Rocsi Diaz is an American television and radio personality best known as a former co-host of BET’s music video countdown show 106 & Park.
-
B.
Otmara Marrero
Otmara Marrero is an American actress best known for her leading role as Izzy Morales in the television series "StartUp."
-
C.
Isela Vega
Isela Vega was a renowned Mexican actress, singer, and filmmaker known for her bold, groundbreaking roles in Mexican cinema and cult films of the 1970s.
-
D.
Miluska Rosales
Miluska Rosales is known as the spouse of Italian actor and television personality Rossano Rubicondi.
-
E.
Nina Rosario
Nina Rosario is a central character in the musical "In the Heights," a driven young woman who becomes the first in her family to attend college and struggles with the pressures of success and identity within her close-knit Latino community.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18e279c8190814f90e947734541 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.