Triple

T12928624
Position Surface form Disambiguated ID Type / Status
Subject Lady Rainicorn E309309 entity
Predicate portrayedBy P1507 FINISHED
Object Niki Yang E1011129 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: Niki Yang | Statement: [Lady Rainicorn, portrayedBy, Niki Yang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niki Yang
Context triple: [Lady Rainicorn, portrayedBy, Niki Yang]
  • A. Niki Yang chosen
    Niki Yang is a South Korean-American voice actress, animator, and storyboard artist best known for voicing characters like BMO and Lady Rainicorn on the animated series "Adventure Time."
  • B. Nina Li Chi
    Nina Li Chi is a retired Hong Kong actress best known for her film work in the late 1980s and early 1990s and for being married to martial arts star Jet Li.
  • C. Nikki Chooi
    Nikki Chooi is a Canadian violinist acclaimed for his solo, chamber, and orchestral performances, including roles as concertmaster and ensemble member.
  • D. Amy Chiang
    Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
  • E. Miki Yim
    Miki Yim is a Korean-American fashion professional known for her work in luxury retail and for being married to actor Sung Kang.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d58a0c8190b96252f04fdf1256 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:42 p.m.