Triple

T597579
Position Surface form Disambiguated ID Type / Status
Subject The Gentlemen E11419 entity
Predicate castMember P1668 FINISHED
Object Tom Wu
Tom Wu is a British actor and martial artist known for his roles in action and crime films and television series.
 E74389 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: Tom Wu | Statement: [The Gentlemen, castMember, Tom Wu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Wu
Context triple: [The Gentlemen, castMember, Tom Wu]
  • A. Joe Tsai
    Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
  • B. Tony Wu
    Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
  • C. 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.
  • D. Peng Chun Chang
    Peng Chun Chang was a Chinese diplomat, philosopher, and educator who played a key role in shaping the philosophical foundations of the Universal Declaration of Human Rights.
  • E. Tsai Chongxin
    Tsai Chongxin, better known as Joe Tsai, is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group.
  • 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: Tom Wu
Triple: [The Gentlemen, castMember, Tom Wu]
Generated description
Tom Wu is a British actor and martial artist known for his roles in action and crime films and television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Wu
Target entity description: Tom Wu is a British actor and martial artist known for his roles in action and crime films and television series.
  • A. Joe Tsai
    Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
  • B. Tony Wu
    Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
  • C. 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.
  • D. Peng Chun Chang
    Peng Chun Chang was a Chinese diplomat, philosopher, and educator who played a key role in shaping the philosophical foundations of the Universal Declaration of Human Rights.
  • E. Tsai Chongxin
    Tsai Chongxin, better known as Joe Tsai, is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d2b98d08190a1c1e8659efdfd75 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c766508190ae39b6e254a07bc3 completed March 2, 2026, 4:57 a.m.
NEDg Description generation batch_69a5194215848190874442451c32a10b completed March 2, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69a519d2e46881909d00ff279bd4a13e completed March 2, 2026, 5:02 a.m.
Created at: March 1, 2026, 7:35 p.m.