Triple
T14799784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. C. Gainey |
E347875
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | CSI: Crime Scene Investigation |
E38339
|
NE FINISHED |
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: Crime Scene Investigation | Statement: [M. C. Gainey, notableWork, CSI: Crime Scene Investigation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSI: Crime Scene Investigation Context triple: [M. C. Gainey, notableWork, CSI: Crime Scene Investigation]
-
A.
CSI: Crime Scene Investigation
chosen
CSI: Crime Scene Investigation is a popular American procedural drama series that follows forensic investigators as they use scientific techniques to solve crimes.
-
B.
CSI: NY
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.
-
C.
CSI
CSI is the commonly used abbreviation for the College of Staten Island, a public institution within the City University of New York (CUNY) system.
-
D.
CSI
CSI is a post-nominal title indicating a Companion of the Order of the Star of India, a chivalric order of British India.
-
E.
CSI
CSI is an industry-standard interface specification that enables container orchestration platforms like Kubernetes to expose and manage diverse storage systems in a consistent, plugin-based way.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c2cd848190bb0d8e4b5f7a489c |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.