Triple
T6593612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Letizia of Spain |
E148421
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | RTVE |
E331125
|
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: RTVE | Statement: [Queen Letizia of Spain, employer, RTVE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTVE Context triple: [Queen Letizia of Spain, employer, RTVE]
-
A.
RTVE
chosen
RTVE (Radiotelevisión Española) is Spain’s national public broadcasting corporation, operating multiple television, radio, and online services.
-
B.
Antena 3
Antena 3 is a major Spanish free-to-air television channel known for broadcasting popular series and entertainment programs.
-
C.
Granada Television
Granada Television was a major British television production and broadcasting company, best known for creating influential programs such as Coronation Street and for serving the ITV network in the north of England.
-
D.
Atresmedia
Atresmedia is a major Spanish media group that operates television channels, radio stations, and digital platforms, and is one of the country’s leading broadcasters.
-
E.
Chilevisión
Chilevisión is a major Chilean free-to-air television network known for its news, entertainment, and sports programming.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aecf50ac81909cb9960c8265a7ea |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42d6ba08190beccfad588594780 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:55 p.m.