Triple

T18508301
Position Surface form Disambiguated ID Type / Status
Subject Anthony Ruivivar E452258 entity
Predicate spouse P13 FINISHED
Object Yvonne Jung 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: Yvonne Jung | Statement: [Anthony Ruivivar, spouse, Yvonne Jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvonne Jung
Context triple: [Anthony Ruivivar, spouse, Yvonne Jung]
  • A. Yvonne Jung chosen
    Yvonne Jung is an American actress known for her work in film and television, including roles in crime dramas and independent movies.
  • B. Yvonne Eckert
    Yvonne Eckert is a notable individual recognized as a prominent bearer of the surname Eckert.
  • C. Brigitte Lin
    Brigitte Lin is a celebrated Taiwanese actress best known internationally for her iconic roles in 1980s–1990s Hong Kong cinema, including acclaimed collaborations with auteur directors such as Wong Kar-wai.
  • D. Yvonne Chu
    Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
  • E. Odette Yustman
    Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.