Triple

T8022755
Position Surface form Disambiguated ID Type / Status
Subject Stir Fry E186776 entity
Predicate musicVideoDirector P4911 FINISHED
Object Sing J. Lee
Sing J. Lee is a British film and music video director known for his visually distinctive, narrative-driven work with prominent artists across pop and alternative music.
E707765 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: Sing J. Lee | Statement: [Stir Fry, musicVideoDirector, Sing J. Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sing J. Lee
Context triple: [Stir Fry, musicVideoDirector, Sing J. Lee]
  • A. C.S. Lee
    C.S. Lee is a Korean-American actor best known for his role as forensic analyst Vince Masuka on the television series "Dexter."
  • B. Mark Lee
    Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
  • C. Mark Lee
    Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
  • D. Michele Lee
    Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
  • E. 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.
  • 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: Sing J. Lee
Triple: [Stir Fry, musicVideoDirector, Sing J. Lee]
Generated description
Sing J. Lee is a British film and music video director known for his visually distinctive, narrative-driven work with prominent artists across pop and alternative music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sing J. Lee
Target entity description: Sing J. Lee is a British film and music video director known for his visually distinctive, narrative-driven work with prominent artists across pop and alternative music.
  • A. C.S. Lee
    C.S. Lee is a Korean-American actor best known for his role as forensic analyst Vince Masuka on the television series "Dexter."
  • B. Mark Lee
    Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
  • C. Mark Lee
    Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
  • D. Michele Lee
    Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
  • E. 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.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8fb6788190a16413051ec26988 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56cdce588190abba45c24dc7a5e7 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58aac4288190a2be4691fc740171 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbaefb481909eb325f0d27675c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:21 p.m.