Triple

T14461638
Position Surface form Disambiguated ID Type / Status
Subject Lucha Underground E358596 entity
Predicate originalNetwork P2594 FINISHED
Object UniMás E53795 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: UniMás | Statement: [Lucha Underground, originalNetwork, UniMás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UniMás
Context triple: [Lucha Underground, originalNetwork, UniMás]
  • A. UniMás chosen
    UniMás is a U.S. Spanish-language broadcast television network owned by TelevisaUnivision that features sports, telenovelas, and entertainment programming.
  • B. UMSS
    UMSS is a major public university in Cochabamba, Bolivia, known formally as Universidad Mayor de San Simón.
  • C. Universidad Central del Este
    Universidad Central del Este is a private Dominican university known for offering a wide range of undergraduate and graduate programs, particularly in health sciences, law, and engineering.
  • D. Universidad Autónoma Gabriel René Moreno
    Universidad Autónoma Gabriel René Moreno is a major public university in Santa Cruz de la Sierra, Bolivia, known for its broad range of academic programs and regional influence in higher education and research.
  • E. UNITEC
    UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6495660081908ab9db11939e74f7 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.