Triple

T22390629
Position Surface form Disambiguated ID Type / Status
Subject Menudo E553500 entity
Predicate hasInfluenced P9 FINISHED
Object CNCO NE NERFINISHED

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: CNCO | Statement: [Menudo, hasInfluenced, CNCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNCO
Context triple: [Menudo, hasInfluenced, CNCO]
  • A. CNCO chosen
    CNCO is a Latin American boy band known for their reggaeton and Latin pop hits and for gaining fame after winning the reality show "La Banda."
  • B. Calle 63
    Calle 63 is a major thoroughfare in Bogotá, Colombia, running through the Chapinero locality and serving as an important urban connector.
  • C. Caluma
    Caluma is a small town in Ecuador’s Bolívar Province, known for its agricultural surroundings and rural Andean setting.
  • D. Rauw Alejandro
    Rauw Alejandro is a Puerto Rican singer, songwriter, and dancer known for his influential role in contemporary reggaeton and Latin urban music.
  • E. Calle 10
    Calle 10 is a street in Bogotá’s historic center that passes important government and colonial-era buildings, including the Palacio de San Carlos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15859853c8190b849cb34a94106da completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.