Triple
T22166453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuestra Belleza Latina |
E547799
|
entity |
| Predicate | hasJudge |
P19462
|
FINISHED |
| Object | Jomari Goyso |
—
|
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: Jomari Goyso | Statement: [Nuestra Belleza Latina, hasJudge, Jomari Goyso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jomari Goyso Context triple: [Nuestra Belleza Latina, hasJudge, Jomari Goyso]
-
A.
Jomari Goyso
chosen
Jomari Goyso is a Spanish-born celebrity stylist, fashion critic, and television personality known for his work on Univision shows and beauty pageants.
-
B.
Cris Velasco
Cris Velasco is an American composer best known for his dark, cinematic scores for video games, including major franchises like God of War, Mass Effect, and Borderlands.
-
C.
Migo Salazar
Migo Salazar is a fictional character from the American sitcom "Running Wilde," known for his involvement in the show's eccentric and comedic situations.
-
D.
Jerome Opeña
Jerome Opeña is a Filipino comic book artist best known for his highly detailed, dynamic work on major Marvel titles such as Avengers and Uncanny X-Force.
-
E.
Michael De Guzman
Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and series.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.