Triple

T7968594
Position Surface form Disambiguated ID Type / Status
Subject Law Kar-ying E185267 entity
Predicate givenName P17 FINISHED
Object Kar-ying
Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
E702467 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: Kar-ying | Statement: [Law Kar-ying, givenName, Kar-ying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kar-ying
Context triple: [Law Kar-ying, givenName, Kar-ying]
  • A. Ching-ling
    Ching-ling is the given name of Soong Ching-ling, a prominent Chinese political figure and the widow of Sun Yat-sen.
  • B. Hung Sin Nui
    Hung Sin Nui was a renowned Cantonese opera diva and film actress, celebrated as one of the most iconic performers in the history of Cantonese opera.
  • C. Yang Kuei-mei
    Yang Kuei-mei is a Taiwanese actress known for her acclaimed performances in art-house and independent films, particularly in collaborations with director Ang Lee.
  • D. Chi-chung
    Chi-chung is an alternative romanized spelling of the Chinese given name commonly written as Zhizhong.
  • E. Nai Leng
    Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
  • 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: Kar-ying
Triple: [Law Kar-ying, givenName, Kar-ying]
Generated description
Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kar-ying
Target entity description: Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
  • A. Ching-ling
    Ching-ling is the given name of Soong Ching-ling, a prominent Chinese political figure and the widow of Sun Yat-sen.
  • B. Hung Sin Nui
    Hung Sin Nui was a renowned Cantonese opera diva and film actress, celebrated as one of the most iconic performers in the history of Cantonese opera.
  • C. Yang Kuei-mei
    Yang Kuei-mei is a Taiwanese actress known for her acclaimed performances in art-house and independent films, particularly in collaborations with director Ang Lee.
  • D. Chi-chung
    Chi-chung is an alternative romanized spelling of the Chinese given name commonly written as Zhizhong.
  • E. Nai Leng
    Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0a334e08190ae67a9ca7b51a128 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43c4d2081909a8f5763252d88f1 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc193e73cc819085797ef363a37079 completed March 31, 2026, 6:58 p.m.
Created at: March 30, 2026, 5:13 p.m.