Triple

T19623384
Position Surface form Disambiguated ID Type / Status
Subject Christina Chong E471070 entity
Predicate name P16 FINISHED
Object Christina Chong 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: Christina Chong | Statement: [Christina Chong, name, Christina Chong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christina Chong
Context triple: [Christina Chong, name, Christina Chong]
  • A. Christina Chong chosen
    Christina Chong is a British actress best known for her role as La’an Noonien-Singh in the television series "Star Trek: Strange New Worlds."
  • B. Christina Chang
    Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
  • C. Cherie Chung
    Cherie Chung is a retired Hong Kong actress and former leading lady of 1980s Cantonese cinema, celebrated for both her beauty and her roles in classic comedies and dramas.
  • D. Shelby Chong
    Shelby Chong is an American comedian, actress, and producer known for her work in stand-up and film, often collaborating with her husband Tommy Chong.
  • E. Caroline Chung
    Caroline Chung is the central protagonist of the television series "My Generation," around whom the show's narrative and character relationships revolve.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e8695c81909268c5a91cdbb7fa completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.