Triple
T8725184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Sanders |
E207112
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | CSI universe |
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 universe | Statement: [Greg Sanders, fictionalUniverse, CSI universe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSI universe Context triple: [Greg Sanders, fictionalUniverse, CSI universe]
-
A.
CSI
CSI (the Committee for Skeptical Inquiry) is a nonprofit organization dedicated to promoting scientific skepticism and critical investigation of controversial or extraordinary claims.
-
B.
CSI
CSI is a post-nominal title indicating a Companion of the Order of the Star of India, a chivalric order of British India.
-
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 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.
-
E.
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.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1404948190bc45d14a1ddb1a7e |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2908fec08190a286a082060a47bc |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.