Triple
T20332971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANO TV-Novosti |
E492529
|
entity |
| Predicate | notableChannel |
P45103
|
FINISHED |
| Object | RT en Español |
—
|
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: RT en Español | Statement: [ANO TV-Novosti, notableChannel, RT en Español]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RT en Español Context triple: [ANO TV-Novosti, notableChannel, RT en Español]
-
A.
RT en Español
chosen
RT en Español is the Spanish-language international news channel of the Russian state-funded network RT, offering news and commentary tailored to Spanish-speaking audiences worldwide.
-
B.
RTVE
RTVE (Radiotelevisión Española) is Spain’s national public broadcasting corporation, operating multiple television, radio, and online services.
-
C.
ES.TV
ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
-
D.
REN TV
REN TV is a Russian television network known for its nationwide broadcasting of entertainment, news, and documentary programming.
-
E.
CNN en Español
CNN en Español is a Spanish-language news television channel providing 24-hour news coverage and analysis for audiences across Latin America, the United States, and other Spanish-speaking markets.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e886a08190952b828fedd2a411 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.