Triple

T34892859
Position Surface form Disambiguated ID Type / Status
Subject Mediaset España Comunicación E1006338 entity
Predicate formerName P65 FINISHED
Object Gestevisión Telecinco
Gestevisión Telecinco was the original corporate name of the Spanish media company now known as Mediaset España Comunicación, which operates major television channels in Spain.
E1994943 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: Gestevisión Telecinco | Statement: [Mediaset España Comunicación, formerName, Gestevisión Telecinco]
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: Gestevisión Telecinco
Triple: [Mediaset España Comunicación, formerName, Gestevisión Telecinco]
Generated description
Gestevisión Telecinco was the original corporate name of the Spanish media company now known as Mediaset España Comunicación, which operates major television channels in Spain.

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_69f76dbfe5788190ad8b64f241f470c8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f781bf501c8190a2d3bd543eb67d77 completed May 3, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37a8a9e5a081908723e2fe55fce767 completed June 21, 2026, 9:02 a.m.
NEDg Description generation batch_6a37aa4114108190a96aa42c2fb45353 completed June 21, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_6a37aaf6c8308190a6ec8e776fce2a38 completed June 21, 2026, 9:12 a.m.
Created at: May 3, 2026, 4 p.m.