Triple

T22483187
Position Surface form Disambiguated ID Type / Status
Subject Eva Noblezada E555817 entity
Predicate name P16 FINISHED
Object Eva Noblezada 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: Eva Noblezada | Statement: [Eva Noblezada, name, Eva Noblezada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva Noblezada
Context triple: [Eva Noblezada, name, Eva Noblezada]
  • A. Eva Noblezada chosen
    Eva Noblezada is a Tony-nominated Filipino-American actress and singer best known for her acclaimed performances in Broadway productions such as Miss Saigon and Hadestown.
  • B. Pia Guanio
    Pia Guanio is a Filipino television presenter and entertainment reporter best known for her long-running role as a co-host on the variety show "Eat Bulaga!"
  • C. Kathryn Bernardo
    Kathryn Bernardo is a popular Filipino actress and commercial model best known for her leading roles in hit Philippine television dramas and films.
  • D. Ella Jay Basco
    Ella Jay Basco is an American actress and singer best known for playing Cassandra Cain in the DC Comics film "Birds of Prey."
  • E. Liza Soberano
    Liza Soberano is a Filipino-American actress and model best known for her leading roles in popular Philippine television dramas and romantic films.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3b03d881909e286a124c1a2b1c completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.