Triple

T21900050
Position Surface form Disambiguated ID Type / Status
Subject Soji Asha E540783 entity
Predicate basedOn P98 FINISHED
Object Juliana Soong 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: Juliana Soong | Statement: [Soji Asha, basedOn, Juliana Soong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliana Soong
Context triple: [Soji Asha, basedOn, Juliana Soong]
  • A. Lucille Soong chosen
    Lucille Soong is a Chinese-American actress known for her character roles in film and television, including appearances in movies like Freaky Friday and the TV series Fresh Off the Boat.
  • B. Miranda Kwok
    Miranda Kwok is a Canadian-American actress, screenwriter, and producer best known as the creator and showrunner of the television series "The Cleaning Lady."
  • C. Pauline Wong
    Pauline Wong is a Hong Kong actress best known for her roles in 1980s supernatural and horror-comedy films, particularly in the Mr. Vampire series.
  • D. Cissy Wang
    Cissy Wang is a Hong Kong-based model, entrepreneur, and philanthropist best known as the wife and business partner of martial arts star Donnie Yen.
  • E. Iris Wong
    Iris Wong is a screenwriter best known for her work on the 1998 film "Who Am I?".
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.