Triple

T2644643
Position Surface form Disambiguated ID Type / Status
Subject Chivo E62955 entity
Predicate name P16 FINISHED
Object Chivo E62955 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: Chivo | Statement: [Chivo, name, Chivo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chivo
Context triple: [Chivo, name, Chivo]
  • A. Chivo chosen
    Chivo is the nickname of Emmanuel Lubezki, the acclaimed Mexican cinematographer renowned for his innovative, immersive long-take visual style and multiple Academy Awards.
  • B. Choladas
    "Choladas" is a track from the album "Voice of the Xtabay," likely reflecting the record’s distinctive blend of exotic, atmospheric, and Latin-influenced music.
  • C. Xoco
    Xoco is a historic neighborhood in Mexico City’s Benito Juárez borough known for its mix of traditional streets, modern developments, and cultural venues.
  • D. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • E. Caramelo
    "Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c50d108190b716dd51c34d3759 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.