Triple
T23540662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.S. Lee |
E577736
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Vince Masuka
Vince Masuka is a quirky, sex-obsessed forensic scientist character from the television series "Dexter," known for his dark humor and inappropriate jokes.
|
E1591736
|
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: Vince Masuka | Statement: [C.S. Lee, notableRole, Vince Masuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vince Masuka Context triple: [C.S. Lee, notableRole, Vince Masuka]
-
A.
Gus Aitoro
Gus Aitoro is a fictional Springfield police detective and former mob-connected antihero from the soap opera "Guiding Light."
-
B.
Vince Ricardo
Vince Ricardo is a wildly eccentric and paranoid CIA operative at the center of the 1979 comedy film "The In-Laws."
-
C.
Desmond Nakano
Desmond Nakano is an American screenwriter and director known for his work on films such as "Last Exit to Brooklyn" and "White Man's Burden."
-
D.
James Seipei
James Seipei, better known as Stompie Seipei, was a South African teenage activist whose 1988 abduction and murder became one of the most notorious human rights abuse cases of the anti-apartheid struggle.
-
E.
Tony Guma
Tony Guma is a screenwriter best known for co-writing the 1999 comedy film "The Suburbans."
- 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: Vince Masuka Triple: [C.S. Lee, notableRole, Vince Masuka]
Generated description
Vince Masuka is a quirky, sex-obsessed forensic scientist character from the television series "Dexter," known for his dark humor and inappropriate jokes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vince Masuka Target entity description: Vince Masuka is a quirky, sex-obsessed forensic scientist character from the television series "Dexter," known for his dark humor and inappropriate jokes.
-
A.
Gus Aitoro
Gus Aitoro is a fictional Springfield police detective and former mob-connected antihero from the soap opera "Guiding Light."
-
B.
Vince Ricardo
Vince Ricardo is a wildly eccentric and paranoid CIA operative at the center of the 1979 comedy film "The In-Laws."
-
C.
Desmond Nakano
Desmond Nakano is an American screenwriter and director known for his work on films such as "Last Exit to Brooklyn" and "White Man's Burden."
-
D.
James Seipei
James Seipei, better known as Stompie Seipei, was a South African teenage activist whose 1988 abduction and murder became one of the most notorious human rights abuse cases of the anti-apartheid struggle.
-
E.
Tony Guma
Tony Guma is a screenwriter best known for co-writing the 1999 comedy film "The Suburbans."
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 |
completed | April 29, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf5bab58819082d5de1c9b47c0c8 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce210d8108190a6338389fcefb5a4 |
completed | May 19, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce2bffdd8819081ef20b90bc0ae7b |
completed | May 19, 2026, 10:22 p.m. |
Created at: April 17, 2026, 6:10 p.m.