Triple

T17025828
Position Surface form Disambiguated ID Type / Status
Subject Pedicab Driver E413060 entity
Predicate starring P1507 FINISHED
Object Fennie Yuen
Fennie Yuen is a Hong Kong actress best known for her roles in 1980s and 1990s Cantonese films and television dramas.
E1267579 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: Fennie Yuen | Statement: [Pedicab Driver, starring, Fennie Yuen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fennie Yuen
Context triple: [Pedicab Driver, starring, Fennie Yuen]
  • A. Yvonne Chan
    Yvonne Chan is the maternal grandmother of August Chan Zuckerberg, the daughter of Facebook co-founder Mark Zuckerberg and pediatrician Priscilla Chan.
  • B. Estella Kwan
    Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
  • C. Miriam Yeung
    Miriam Yeung is a prominent Hong Kong Cantopop singer and actress known for her hit ballads and successful film roles.
  • D. Teresa Cheng
    Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
  • E. Leslie Chow
    Leslie Chow is a wildly eccentric, foul-mouthed, and unpredictable gangster character from The Hangover film series, known for his outrageous antics and chaotic energy.
  • 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: Fennie Yuen
Triple: [Pedicab Driver, starring, Fennie Yuen]
Generated description
Fennie Yuen is a Hong Kong actress best known for her roles in 1980s and 1990s Cantonese films and television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fennie Yuen
Target entity description: Fennie Yuen is a Hong Kong actress best known for her roles in 1980s and 1990s Cantonese films and television dramas.
  • A. Yvonne Chan
    Yvonne Chan is the maternal grandmother of August Chan Zuckerberg, the daughter of Facebook co-founder Mark Zuckerberg and pediatrician Priscilla Chan.
  • B. Estella Kwan
    Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
  • C. Miriam Yeung
    Miriam Yeung is a prominent Hong Kong Cantopop singer and actress known for her hit ballads and successful film roles.
  • D. Teresa Cheng
    Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
  • E. Leslie Chow
    Leslie Chow is a wildly eccentric, foul-mouthed, and unpredictable gangster character from The Hangover film series, known for his outrageous antics and chaotic energy.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7e006808190a1b2838a32662ce0 completed May 11, 2026, 9:56 a.m.
NEDg Description generation batch_6a01a912497c8190a8e09e5aaaac591a completed May 11, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_6a01a96980ac81908a40b1e36c31b796 completed May 11, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:33 a.m.