Triple

T21868581
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong New Wave E539945 entity
Predicate notableDirector P4744 FINISHED
Object Mabel Cheung
Mabel Cheung is a prominent Hong Kong filmmaker known for her humanistic, cross-cultural dramas and her influential role in the Hong Kong New Wave cinema movement.
E1507829 NE FINISHED

How this triple was built (4 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: Mabel Cheung | Statement: [Hong Kong New Wave, notableDirector, Mabel Cheung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mabel Cheung
Context triple: [Hong Kong New Wave, notableDirector, Mabel Cheung]
  • A. Maria Cheung
    Maria Cheung is a key architect and design leader at the London-based architecture practice Squire and Partners.
  • B. Vivian Chow
    Vivian Chow is a Hong Kong Cantopop singer and actress who rose to fame in the late 1980s and 1990s and became known as one of the era’s most popular idols.
  • C. Teresa Cheng
    Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
  • D. Shirley Chan
    Shirley Chan is a cinematographer best known for her work on the independent crime-drama film "Better Luck Tomorrow."
  • E. Cindy Cheung
    Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mabel Cheung
Triple: [Hong Kong New Wave, notableDirector, Mabel Cheung]
Generated description
Mabel Cheung is a prominent Hong Kong filmmaker known for her humanistic, cross-cultural dramas and her influential role in the Hong Kong New Wave cinema movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mabel Cheung
Target entity description: Mabel Cheung is a prominent Hong Kong filmmaker known for her humanistic, cross-cultural dramas and her influential role in the Hong Kong New Wave cinema movement.
  • A. Maria Cheung
    Maria Cheung is a key architect and design leader at the London-based architecture practice Squire and Partners.
  • B. Vivian Chow
    Vivian Chow is a Hong Kong Cantopop singer and actress who rose to fame in the late 1980s and 1990s and became known as one of the era’s most popular idols.
  • C. Teresa Cheng
    Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
  • D. Shirley Chan
    Shirley Chan is a cinematographer best known for her work on the independent crime-drama film "Better Luck Tomorrow."
  • E. Cindy Cheung
    Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
  • F. None of above. chosen

Provenance (5 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33305d081908cd070134420607a completed April 28, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a59f900488190b06db217e61a6270 completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5b34e1948190868859eae050ed22 completed May 18, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5bce1c388190aa0149fab353f30f completed May 18, 2026, 12:22 a.m.
Created at: April 16, 2026, 6:57 p.m.