Triple

T19935467
Position Surface form Disambiguated ID Type / Status
Subject Lupita Nyong'o E479163 entity
Predicate givenName P17 FINISHED
Object Lupita 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: Lupita | Statement: [Lupita Nyong'o, givenName, Lupita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lupita
Context triple: [Lupita Nyong'o, givenName, Lupita]
  • A. Lupita chosen
    Lupita is the given name of Lupita Nyong'o, the Kenyan-Mexican actress acclaimed for her roles in films such as "12 Years a Slave" and "Black Panther."
  • B. Lupita Ramos
    Lupita Ramos is the young girl whose kidnapping drives the emotional core of the 2004 action thriller "Man on Fire."
  • C. Lupita Tovar
    Lupita Tovar was a Mexican-American actress best known for her roles in early Spanish-language films, including the 1931 Spanish-language version of "Drácula."
  • D. Lupita D’Alessio
    Lupita D’Alessio is a renowned Mexican singer and actress, often called “La Leona Dormida,” celebrated for her powerful voice and dramatic ballads across several decades.
  • E. Camila
    Camila is a landmark Argentine historical drama film that portrays the tragic 19th-century love affair between Camila O’Gorman and a Jesuit priest under the dictatorship of Juan Manuel de Rosas.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.