Triple

T9392665
Position Surface form Disambiguated ID Type / Status
Subject Victor Sen Yung E226060 entity
Predicate playedCharacter P1507 FINISHED
Object Jimmy Chan
Jimmy Chan is a fictional Chinese-American detective character from the Charlie Chan film series, portrayed as one of Charlie Chan’s sons who often assists in solving mysteries.
E796349 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: Jimmy Chan | Statement: [Victor Sen Yung, playedCharacter, Jimmy Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Chan
Context triple: [Victor Sen Yung, playedCharacter, Jimmy Chan]
  • A. Ryan Chan
    Ryan Chan is a film editor known for his work on the 2020 adaptation of "The Witches."
  • B. Gerald Chan
    Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
  • C. Michael Chan
    Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
  • D. Ronald Cheng
    Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
  • E. Jimmy Woo
    Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
  • 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: Jimmy Chan
Triple: [Victor Sen Yung, playedCharacter, Jimmy Chan]
Generated description
Jimmy Chan is a fictional Chinese-American detective character from the Charlie Chan film series, portrayed as one of Charlie Chan’s sons who often assists in solving mysteries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jimmy Chan
Target entity description: Jimmy Chan is a fictional Chinese-American detective character from the Charlie Chan film series, portrayed as one of Charlie Chan’s sons who often assists in solving mysteries.
  • A. Ryan Chan
    Ryan Chan is a film editor known for his work on the 2020 adaptation of "The Witches."
  • B. Gerald Chan
    Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
  • C. Michael Chan
    Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
  • D. Ronald Cheng
    Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
  • E. Jimmy Woo
    Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510fec6481908b51c497744068c8 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10108cd0c8190a38ee2325d3475ce completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d1028690e48190ad737550f1425028 completed April 4, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_69d102f969188190b62fe3b8e7035b1d completed April 4, 2026, 12:24 p.m.
Created at: March 30, 2026, 7:45 p.m.