Triple
T8382074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI: Miami |
E197714
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tim Speedle
Tim Speedle is a trace evidence specialist and original member of the Miami-Dade crime lab team on the television series CSI: Miami.
|
E729517
|
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: Tim Speedle | Statement: [CSI: Miami, mainCharacter, Tim Speedle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Speedle Context triple: [CSI: Miami, mainCharacter, Tim Speedle]
-
A.
Jeremy Spenser
Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
-
B.
Tim DuBois
Tim DuBois is an American music executive and songwriter best known for his influential role in shaping modern country music and developing major artists in Nashville.
-
C.
Jimmy Slyde
Jimmy Slyde was an influential American tap dancer renowned for his smooth, gliding style and improvisational jazz-infused performances.
-
D.
Charlie Jaffey
Charlie Jaffey is a high-powered, principled defense attorney in "Molly's Game" who helps Molly Bloom navigate her legal troubles with the FBI.
-
E.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
- 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: Tim Speedle Triple: [CSI: Miami, mainCharacter, Tim Speedle]
Generated description
Tim Speedle is a trace evidence specialist and original member of the Miami-Dade crime lab team on the television series CSI: Miami.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Speedle Target entity description: Tim Speedle is a trace evidence specialist and original member of the Miami-Dade crime lab team on the television series CSI: Miami.
-
A.
Jeremy Spenser
Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
-
B.
Tim DuBois
Tim DuBois is an American music executive and songwriter best known for his influential role in shaping modern country music and developing major artists in Nashville.
-
C.
Jimmy Slyde
Jimmy Slyde was an influential American tap dancer renowned for his smooth, gliding style and improvisational jazz-infused performances.
-
D.
Charlie Jaffey
Charlie Jaffey is a high-powered, principled defense attorney in "Molly's Game" who helps Molly Bloom navigate her legal troubles with the FBI.
-
E.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
- 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.