Triple

T11979883
Position Surface form Disambiguated ID Type / Status
Subject TelevisaUnivision E285129 entity
Predicate hasStreamingService P3189 FINISHED
Object ViX E958068 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: ViX | Statement: [TelevisaUnivision, hasStreamingService, ViX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ViX
Context triple: [TelevisaUnivision, hasStreamingService, ViX]
  • A. ViX chosen
    ViX is a Spanish-language streaming service offering a wide range of movies, series, sports, and original content primarily for Hispanic audiences.
  • B. ViX Premium
    ViX Premium is a Spanish-language streaming subscription service offering premium series, films, and live content primarily for Hispanic audiences.
  • C. VIKI
    VIKI is the central artificial intelligence system and primary antagonist in the science fiction film "I, Robot," overseeing and controlling robots under a rigid interpretation of the Three Laws of Robotics.
  • D. Viks
    Viks is a shortened nickname commonly used to refer to the Vikings sports teams.
  • E. VIJO
    VIJO is the ICAO airport code assigned to Jodhpur Airport in Rajasthan, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48aa73458819097a69b371350743c completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:46 p.m.