Triple
T18533515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minx |
E452900
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Oscar Montoya |
—
|
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: Oscar Montoya | Statement: [Minx, portrayedBy, Oscar Montoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscar Montoya Context triple: [Minx, portrayedBy, Oscar Montoya]
-
A.
Oscar Montoya
chosen
Oscar Montoya is a Colombian-American actor, comedian, and podcaster known for his work in television and improv comedy.
-
B.
Sergio Montoya
Sergio Montoya is a notable individual distinguished enough to be recognized as a prominent bearer of the Montoya surname.
-
C.
Joseph Montoya
Joseph Montoya was a Democratic U.S. Senator from New Mexico known for his role on the Senate Watergate Committee during the investigation of the Nixon administration.
-
D.
Eduardo Montoya
Eduardo Montoya is a person notable enough to be specifically cited as a bearer of the Montoya surname, though further widely known biographical details are not clearly established.
-
E.
Rafael Montoya
Rafael Montoya is a personal name shared by multiple individuals, most commonly associated with Spanish-speaking regions and used by figures in fields such as sports, politics, or the arts.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533ffc38881909f8ee132314f58a3 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.