Triple

T735497
Position Surface form Disambiguated ID Type / Status
Subject Chan E14920 entity
Predicate hasNotableBearer P458 FINISHED
Object Eason Chan
Eason Chan is a highly acclaimed Hong Kong singer and actor, widely recognized as one of the leading figures in contemporary Cantopop.
E87689 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: Eason Chan | Statement: [Chan, hasNotableBearer, Eason Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eason Chan
Context triple: [Chan, hasNotableBearer, Eason Chan]
  • A. John Lee Ka-chiu
    John Lee Ka-chiu is a Hong Kong politician and former security official who serves as the Chief Executive, the city's top leader.
  • B. Lennon Yuan-Rung Chang
    Lennon Yuan-Rung Chang is an Anglican bishop who serves as the ecclesiastical leader of the Episcopal Diocese of Taiwan.
  • C. Tony Wu
    Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
  • D. Tom Wu
    Tom Wu is a British actor and martial artist known for his roles in action and crime films and television series.
  • E. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • 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: Eason Chan
Triple: [Chan, hasNotableBearer, Eason Chan]
Generated description
Eason Chan is a highly acclaimed Hong Kong singer and actor, widely recognized as one of the leading figures in contemporary Cantopop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eason Chan
Target entity description: Eason Chan is a highly acclaimed Hong Kong singer and actor, widely recognized as one of the leading figures in contemporary Cantopop.
  • A. John Lee Ka-chiu
    John Lee Ka-chiu is a Hong Kong politician and former security official who serves as the Chief Executive, the city's top leader.
  • B. Lennon Yuan-Rung Chang
    Lennon Yuan-Rung Chang is an Anglican bishop who serves as the ecclesiastical leader of the Episcopal Diocese of Taiwan.
  • C. Tony Wu
    Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
  • D. Tom Wu
    Tom Wu is a British actor and martial artist known for his roles in action and crime films and television series.
  • E. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • 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_69a64a5f0de4819083457c86e5e93ba0 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64b03246081908c20445a7a401008 completed March 3, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69a64b4e9cec8190a3dcc378f853be0d completed March 3, 2026, 2:45 a.m.
Created at: March 1, 2026, 7:37 p.m.