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.