Triple
T8382121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI: Cyber |
E197715
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Simon Sifter
Simon Sifter is a supervisory FBI agent and team leader in the crime drama series "CSI: Cyber."
|
E729523
|
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: Simon Sifter | Statement: [CSI: Cyber, mainCharacter, Simon Sifter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Sifter Context triple: [CSI: Cyber, mainCharacter, Simon Sifter]
-
A.
Simon Dunsdon
Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
-
B.
Simon Gage
Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
-
C.
Jack Simms
Jack Simms was the discoverer of Mark Twain Cave, a famous show cave in Missouri associated with author Mark Twain and his writings.
-
D.
Simon Baz
Simon Baz is a Lebanese-American member of DC Comics' Green Lantern Corps, known for wielding a power ring alongside a handgun and confronting themes of post-9/11 prejudice and identity.
-
E.
Simon Dutton
Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
- 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: Simon Sifter Triple: [CSI: Cyber, mainCharacter, Simon Sifter]
Generated description
Simon Sifter is a supervisory FBI agent and team leader in the crime drama series "CSI: Cyber."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simon Sifter Target entity description: Simon Sifter is a supervisory FBI agent and team leader in the crime drama series "CSI: Cyber."
-
A.
Simon Dunsdon
Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
-
B.
Simon Gage
Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
-
C.
Jack Simms
Jack Simms was the discoverer of Mark Twain Cave, a famous show cave in Missouri associated with author Mark Twain and his writings.
-
D.
Simon Baz
Simon Baz is a Lebanese-American member of DC Comics' Green Lantern Corps, known for wielding a power ring alongside a handgun and confronting themes of post-9/11 prejudice and identity.
-
E.
Simon Dutton
Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80dc96048190887d7df8bce5c1fd |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde814816481909bcc3b11fa5a1367 |
completed | April 2, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69cdeb2209908190a9c2b7258295561e |
completed | April 2, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdec53410c8190b4c5e412922801dd |
completed | April 2, 2026, 4:10 a.m. |
Created at: March 30, 2026, 6:02 p.m.