Triple
T18710014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Kapelos |
E457480
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | CSI: NY |
—
|
NE NERFINISHED |
How this triple was built (2 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: CSI: NY | Statement: [John Kapelos, notableWork, CSI: NY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSI: NY Context triple: [John Kapelos, notableWork, CSI: NY]
-
A.
CSI: NY
chosen
CSI: NY is an American police procedural television series that follows a team of forensic investigators solving crimes in New York City as part of the CSI franchise.
-
B.
CSI: Crime Scene Investigation
CSI: Crime Scene Investigation is a popular American procedural drama series that follows forensic investigators as they use scientific techniques to solve crimes.
-
C.
CSI: Miami
CSI: Miami is an American police procedural television series that follows a team of forensic investigators solving crimes in Miami using advanced scientific techniques.
-
D.
CSI: Vegas
CSI: Vegas is a crime drama television series that serves as a sequel to the original CSI: Crime Scene Investigation, revisiting forensic investigations in Las Vegas with a mix of returning and new characters.
-
E.
SVU
SVU is the three-letter IATA airport code assigned to Savusavu Airport in Fiji.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.