Triple

T5165485
Position Surface form Disambiguated ID Type / Status
Subject Yma Sumac E116540 entity
Predicate child P120 FINISHED
Object Charles Yma Vivanco E116540 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: Charles Yma Vivanco | Statement: [Yma Sumac, child, Charles Yma Vivanco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Yma Vivanco
Context triple: [Yma Sumac, child, Charles Yma Vivanco]
  • A. Charles Yma Vivanco chosen
    Charles Yma Vivanco is known primarily as the son of the renowned Peruvian soprano and world music icon Yma Sumac.
  • B. Zacharias Manuel de la Rocha
    Zacharias Manuel de la Rocha is an American musician, poet, and activist best known as the politically charged lead vocalist of the rock band Rage Against the Machine.
  • C. Joaquín Baca-Asay
    Joaquín Baca-Asay is an American cinematographer known for his visually distinctive work on films such as "We Own the Night."
  • D. Pedro Muzquiz
    Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
  • E. Joaquín Goyache
    Joaquín Goyache is a Spanish veterinarian and academic who serves as rector of the Complutense University of Madrid.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792af4648190934cf2db523f6921 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07529d0819093fd4d127ac43e30 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:44 p.m.