Triple

T4369032
Position Surface form Disambiguated ID Type / Status
Subject The Toll of the Sea E98848 entity
Predicate leadPerformanceBy P15292 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: [The Toll of the Sea, leadPerformanceBy, Anna May Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna May Wong
Context triple: [The Toll of the Sea, leadPerformanceBy, 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. 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.
  • D. Rita Hsiao
    Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
  • E. Alice Lee
    Alice Lee was an American lawyer and the older sister of author Harper Lee, known for her long legal career in Monroeville, Alabama and for helping manage her sister’s affairs.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352052b388190b02cca9a3b480be4 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb60f8a35481909fffa4af531400eb completed March 19, 2026, 2:35 a.m.
Created at: March 12, 2026, 11:17 p.m.