Triple
T20359251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amar en tiempos revueltos |
E496730
|
entity |
| Predicate | broadcaster |
P833
|
FINISHED |
| Object |
TVE
TVE is Spain’s national public television broadcaster, operated by the state-owned corporation RTVE and known for producing and airing a wide range of news, cultural, and entertainment programming.
|
E1426840
|
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: TVE | Statement: [Amar en tiempos revueltos, broadcaster, TVE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVE Context triple: [Amar en tiempos revueltos, broadcaster, TVE]
-
A.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
B.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
-
C.
TVH
TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
-
D.
TV-am
TV-am was a British breakfast television franchise that broadcast on ITV in the 1980s and early 1990s, known for pioneering morning TV programming in the UK.
-
E.
ES.TV
ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
- 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: TVE Triple: [Amar en tiempos revueltos, broadcaster, TVE]
Generated description
TVE is Spain’s national public television broadcaster, operated by the state-owned corporation RTVE and known for producing and airing a wide range of news, cultural, and entertainment programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TVE Target entity description: TVE is Spain’s national public television broadcaster, operated by the state-owned corporation RTVE and known for producing and airing a wide range of news, cultural, and entertainment programming.
-
A.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
B.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
-
C.
TVH
TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
-
D.
TV-am
TV-am was a British breakfast television franchise that broadcast on ITV in the 1980s and early 1990s, known for pioneering morning TV programming in the UK.
-
E.
ES.TV
ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678573fc481908bf257e6ed41d750 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087083b5108190a94f0a9dc405904c |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087213a0408190a9b553323d7ced1f |
completed | May 16, 2026, 1:33 p.m. |
Created at: April 16, 2026, 11:25 a.m.