Triple
T8209984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azcárraga family |
E191788
|
entity |
| Predicate | controls |
P760
|
FINISHED |
| Object | XEW-TV |
E609060
|
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: XEW-TV | Statement: [Azcárraga family, controls, XEW-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XEW-TV Context triple: [Azcárraga family, controls, XEW-TV]
-
A.
XEW-TV
chosen
XEW-TV is a pioneering Mexican television station based in Mexico City that became one of the flagship channels of what is now Televisa.
-
B.
Estrella TV
Estrella TV is a Spanish-language American broadcast television network known for its variety of entertainment programming targeting Hispanic audiences in the United States.
-
C.
XEW-AM
XEW-AM is a historic and influential Mexican radio station, often called "La Voz de la América Latina desde México," that became a cornerstone of Spanish-language broadcasting.
-
D.
WAGA-TV
WAGA-TV is a Fox-affiliated television station serving the Atlanta, Georgia market.
-
E.
Canal 13
Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dd881c8190adcbeb2f33d3295c |
completed | March 31, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccede2e4f481908edca856038772d3 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:44 p.m.