Triple

T14118992
Position Surface form Disambiguated ID Type / Status
Subject Aurora Miranda E339854 entity
Predicate name P16 FINISHED
Object Aurora Miranda E339854 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: Aurora Miranda | Statement: [Aurora Miranda, name, Aurora Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurora Miranda
Context triple: [Aurora Miranda, name, Aurora Miranda]
  • A. Aurora Miranda chosen
    Aurora Miranda was a Brazilian singer and actress, known for her vibrant musical performances in mid-20th-century films and for popularizing Brazilian music internationally.
  • B. Isaura Palaia
    Isaura Palaia was an ancient city of the Isauria region in Asia Minor, known as one of its principal urban centers in classical antiquity.
  • C. Talita
    Talita is a central character in Julio Cortázar’s novel "Rayuela" ("Hopscotch"), known for her enigmatic presence and complex relationships within the bohemian Parisian and Buenos Aires circles depicted in the story.
  • D. Miranda Maday
    Miranda Maday is a social media manager and producer best known as the wife of actress and singer Raven-Symoné.
  • E. Mia Ausa
    Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de609322ac8190bb389ca250882af5 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0bc60088190a7e2f0c9532304e3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.