Triple

T6222424
Position Surface form Disambiguated ID Type / Status
Subject Dexter E139146 entity
Predicate castMember P1668 FINISHED
Object 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."
E577736 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: C.S. Lee | Statement: [Dexter, castMember, C.S. Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C.S. Lee
Context triple: [Dexter, castMember, C.S. Lee]
  • A. John C. H. Lee
    John C. H. Lee was a senior U.S. Army general in World War II, best known for overseeing logistics and support operations for American forces in the European theater.
  • B. C. Y. Lee
    C. Y. Lee was a Chinese-American novelist best known for his 1957 book "The Flower Drum Song," which was adapted into a successful Rodgers and Hammerstein musical and film.
  • C. Y. W. Lee
    Y. W. Lee was an academic mentor and electrical engineering scholar known for supervising future internet pioneer Leonard Kleinrock during his doctoral studies.
  • D. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • 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: C.S. Lee
Triple: [Dexter, castMember, C.S. Lee]
Generated description
C.S. Lee is a Korean-American actor best known for his role as forensic analyst Vince Masuka on the television series "Dexter."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C.S. Lee
Target entity description: C.S. Lee is a Korean-American actor best known for his role as forensic analyst Vince Masuka on the television series "Dexter."
  • A. John C. H. Lee
    John C. H. Lee was a senior U.S. Army general in World War II, best known for overseeing logistics and support operations for American forces in the European theater.
  • B. C. Y. Lee
    C. Y. Lee was a Chinese-American novelist best known for his 1957 book "The Flower Drum Song," which was adapted into a successful Rodgers and Hammerstein musical and film.
  • C. Y. W. Lee
    Y. W. Lee was an academic mentor and electrical engineering scholar known for supervising future internet pioneer Leonard Kleinrock during his doctoral studies.
  • D. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bddb688190add53172a7445d01 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dcc5e788190a510cac6bbad4830 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c21498cfc0819097d1fa9cb10f7a92 completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c215689f288190a54fb3fc7984455a completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:22 p.m.