Triple

T735505
Position Surface form Disambiguated ID Type / Status
Subject Chan E14920 entity
Predicate hasNotableBearer P458 FINISHED
Object Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
 E99895 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: Vivian Chan | Statement: [Chan, hasNotableBearer, Vivian Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vivian Chan
Context triple: [Chan, hasNotableBearer, Vivian Chan]
  • A. Anita Chan
    Anita Chan is a prominent scholar known for her influential research on Chinese labor issues and labor rights.
  • B. Vicky Chun
    Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
  • C. Eileen Loo
    Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
  • D. Kelly Chan
    Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
  • E. Priscilla Chan
    Priscilla Chan is an American pediatrician and philanthropist who co-founded the Chan Zuckerberg Initiative with her husband, Facebook co-founder Mark Zuckerberg.
  • 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: Vivian Chan
Triple: [Chan, hasNotableBearer, Vivian Chan]
Generated description
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vivian Chan
Target entity description: Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • A. Anita Chan
    Anita Chan is a prominent scholar known for her influential research on Chinese labor issues and labor rights.
  • B. Vicky Chun
    Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
  • C. Eileen Loo
    Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
  • D. Kelly Chan
    Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
  • E. Priscilla Chan
    Priscilla Chan is an American pediatrician and philanthropist who co-founded the Chan Zuckerberg Initiative with her husband, Facebook co-founder Mark Zuckerberg.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5da30b88190afbd12ae6109cc1b completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a79329fc2c81908dbf0627686ef47e completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a793b89e38819090fd80afbb0fee96 completed March 4, 2026, 2:06 a.m.
Created at: March 1, 2026, 7:37 p.m.