Triple
T6667527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilio Azcárraga Vidaurreta |
E151641
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
XEW-TV
XEW-TV is a pioneering Mexican television station based in Mexico City that became one of the flagship channels of what is now Televisa.
|
E609060
|
NE FINISHED |
How this triple was built (4 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: [Emilio Azcárraga Vidaurreta, founded, XEW-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XEW-TV Context triple: [Emilio Azcárraga Vidaurreta, founded, XEW-TV]
-
A.
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.
-
B.
WAGA-TV
WAGA-TV is a Fox-affiliated television station serving the Atlanta, Georgia market.
-
C.
Canal 13
Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
-
D.
WGN-TV
WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
-
E.
WSNS-TV
WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: XEW-TV Triple: [Emilio Azcárraga Vidaurreta, founded, XEW-TV]
Generated description
XEW-TV is a pioneering Mexican television station based in Mexico City that became one of the flagship channels of what is now Televisa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XEW-TV Target entity description: XEW-TV is a pioneering Mexican television station based in Mexico City that became one of the flagship channels of what is now Televisa.
-
A.
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.
-
B.
WAGA-TV
WAGA-TV is a Fox-affiliated television station serving the Atlanta, Georgia market.
-
C.
Canal 13
Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
-
D.
WGN-TV
WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
-
E.
WSNS-TV
WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
- F. None of above. chosen
Provenance (5 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09ec2ec8190aa666c68c6c2cfc6 |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef109f5c8190aa28b5d7aa192e6e |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a3f0b481908dfe70d626277e8f |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a3995c8190b22766356b6e6bf8 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2:02 p.m.