Triple

T22023288
Position Surface form Disambiguated ID Type / Status
Subject Blood and Water E543893 entity
Predicate castMember P1668 FINISHED
Object Vivian Bang 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: Vivian Bang | Statement: [Blood and Water, castMember, Vivian Bang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivian Bang
Context triple: [Blood and Water, castMember, Vivian Bang]
  • A. Vivian Bang chosen
    Vivian Bang is a Korean-American actress and comedian known for her roles in television series and independent films, including the sitcom "Sullivan & Son."
  • B. Laura Sohn
    Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
  • C. Miri Yoon
    Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
  • D. Gina Kwon
    Gina Kwon is a film and television producer known for her work on projects such as the true-crime series "Dirty John."
  • E. Jane Choi
    Jane Choi is known as the spouse of American actor Andre Royo, recognized for his role on the television series "The Wire."
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.