Triple

T1207806
Position Surface form Disambiguated ID Type / Status
Subject Romper Stomper E25928 entity
Predicate starring P1507 FINISHED
Object Tony Lee
Tony Lee is an actor known for his role in the Australian drama film "Romper Stomper."
 E143626 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: Tony Lee | Statement: [Romper Stomper, starring, Tony Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tony Lee
Context triple: [Romper Stomper, starring, Tony Lee]
  • A. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • B. Mason Lee
    Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
  • C. Daren Tang
    Daren Tang is a Singaporean lawyer and intellectual property expert who serves as the Director General of the World Intellectual Property Organization (WIPO).
  • D. Hau Lee
    Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
  • E. David Luan
    David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
  • 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: Tony Lee
Triple: [Romper Stomper, starring, Tony Lee]
Generated description
Tony Lee is an actor known for his role in the Australian drama film "Romper Stomper."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tony Lee
Target entity description: Tony Lee is an actor known for his role in the Australian drama film "Romper Stomper."
  • A. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • B. Mason Lee
    Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
  • C. Daren Tang
    Daren Tang is a Singaporean lawyer and intellectual property expert who serves as the Director General of the World Intellectual Property Organization (WIPO).
  • D. Hau Lee
    Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
  • E. David Luan
    David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93b9f65481908824573c225dc638 completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac95120ef88190b4a87e6d8a5435d3 completed March 7, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69ac9597ef348190a2b33b525ca6079e completed March 7, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:46 p.m.