Triple
T14264617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal 13 |
E353611
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object |
Rec TV
Rec TV is a television channel associated with Chile’s Canal 13 network, typically used to air archived or complementary programming.
|
E1089999
|
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: Rec TV | Statement: [Canal 13, hasSisterChannel, Rec TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rec TV Context triple: [Canal 13, hasSisterChannel, Rec TV]
-
A.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
-
B.
RTL Television
RTL Television is a major German commercial television channel known for broadcasting a wide range of entertainment, news, and original programming.
-
C.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
D.
DR TV
DR TV is the Danish Broadcasting Corporation’s primary online streaming platform for television programs and other video content.
-
E.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
- 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: Rec TV Triple: [Canal 13, hasSisterChannel, Rec TV]
Generated description
Rec TV is a television channel associated with Chile’s Canal 13 network, typically used to air archived or complementary programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rec TV Target entity description: Rec TV is a television channel associated with Chile’s Canal 13 network, typically used to air archived or complementary programming.
-
A.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
-
B.
RTL Television
RTL Television is a major German commercial television channel known for broadcasting a wide range of entertainment, news, and original programming.
-
C.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
D.
DR TV
DR TV is the Danish Broadcasting Corporation’s primary online streaming platform for television programs and other video content.
-
E.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326367348190b4b31b32f4ca5639 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd335a496881908689b5769bb677ae |
completed | May 8, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3445422c8190a22eaa4bef5fdf76 |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:09 a.m.