Triple
T20006989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atresmedia |
E494484
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Nova
Nova is a Spanish television channel focused mainly on telenovelas, series, and lifestyle programming, operated by the media group Atresmedia.
|
E494499
|
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: Nova | Statement: [Atresmedia, owns, Nova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova Context triple: [Atresmedia, owns, Nova]
-
A.
Nova
Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
-
B.
Nova
Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
-
C.
Nova
Nova is a highly skilled Terran Ghost operative and elite sniper from the StarCraft universe, known for her stealth, psionic abilities, and central role in various StarCraft stories and missions.
-
D.
Nova
Nova is a 1968 science fiction novel by Samuel R. Delany that blends space opera with experimental narrative techniques and themes of myth, technology, and power.
-
E.
Nova
Nova is a music producer known for crafting the sound of the track "Crime Pays."
- 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: Nova Triple: [Atresmedia, owns, Nova]
Generated description
Nova is a Spanish television channel focused mainly on telenovelas, series, and lifestyle programming, operated by the media group Atresmedia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nova Target entity description: Nova is a Spanish television channel focused mainly on telenovelas, series, and lifestyle programming, operated by the media group Atresmedia.
-
A.
Nova
chosen
Nova is a Spanish television channel that primarily targets female audiences with a mix of telenovelas, lifestyle programs, and entertainment content.
-
B.
Nova
Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
-
C.
Nova
Nova is a highly skilled Terran Ghost operative and elite sniper from the StarCraft universe, known for her stealth, psionic abilities, and central role in various StarCraft stories and missions.
-
D.
Nova
Nova is the OpenStack project that provides scalable, on-demand compute resources for running virtual machines and other instances in cloud environments.
-
E.
Nova
Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
- F. None of above.
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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08050fcc088190a839c529cda3f588 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a08061f6aa08190a7c8b4fc55ea1400 |
completed | May 16, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080706231c819081499808132fad82 |
completed | May 16, 2026, 5:56 a.m. |
Created at: April 11, 2026, 3:33 p.m.