Triple
T23295694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malibu Country |
E590162
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jai Rodriguez |
—
|
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: Jai Rodriguez | Statement: [Malibu Country, starring, Jai Rodriguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jai Rodriguez Context triple: [Malibu Country, starring, Jai Rodriguez]
-
A.
Jai Rodriguez
chosen
Jai Rodriguez is an American actor and television personality best known as a culture expert on the reality series "Queer Eye for the Straight Guy" and for his work in theater and television comedy.
-
B.
Eduardo Juárez
Eduardo Juárez is the central protagonist of the Mexican telenovela "Mañana es para siempre," around whom the main romantic and dramatic conflicts revolve.
-
C.
Jose Ramirez
Jose Ramirez is a professional boxer best known for being the first opponent faced by Vasiliy Lomachenko in his professional debut.
-
D.
Yair Rodríguez
Yair Rodríguez is a Mexican mixed martial artist known for his dynamic, unorthodox striking and success in the UFC featherweight division.
-
E.
J.R. Ramirez
J.R. Ramirez is a Puerto Rican-American actor best known for his roles in television series such as "Jessica Jones," "Power," and "Arrow."
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cec9e88190b83cfd53a6455e0f |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.