Triple

T10467349
Position Surface form Disambiguated ID Type / Status
Subject Luck E246830 entity
Predicate voiceCastMember P9616 FINISHED
Object Eva Noblezada E555817 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: Eva Noblezada | Statement: [Luck, voiceCastMember, Eva Noblezada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva Noblezada
Context triple: [Luck, voiceCastMember, 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. 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.
  • C. 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."
  • D. 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.
  • E. Rufa Mae Quinto
    Rufa Mae Quinto is a Filipino actress, comedian, and television host known for her bold comedic style and roles in popular Philippine films and TV shows.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.