Triple

T6187223
Position Surface form Disambiguated ID Type / Status
Subject Anna May Wong E138090 entity
Predicate fullName P16 FINISHED
Object Anna May Wong E17511 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: Anna May Wong | Statement: [Anna May Wong, fullName, Anna May Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna May Wong
Context triple: [Anna May Wong, fullName, Anna May Wong]
  • A. Anna May Wong chosen
    Anna May Wong was a pioneering Chinese American actress and international film star of the early 20th century, widely regarded as the first Asian American Hollywood movie star.
  • B. Nancy Kwan
    Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
  • C. Joan Chen
    Joan Chen is a Chinese-American actress and director known for her roles in films like "The Last Emperor" and the TV series "Twin Peaks."
  • D. Lila Lee
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • E. Rita Hsiao
    Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621671988190938dd16242a2e4d5 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16effda2481909dad5732077cf1d3 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.