Triple

T8381900
Position Surface form Disambiguated ID Type / Status
Subject Nick Stokes E197710 entity
Predicate appearsInFranchise P795 FINISHED
Object CSI 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 | Statement: [Nick Stokes, appearsInFranchise, CSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSI
Context triple: [Nick Stokes, appearsInFranchise, CSI]
  • A. 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.
  • 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 (the Committee for Skeptical Inquiry) is a nonprofit organization dedicated to promoting scientific skepticism and critical investigation of controversial or extraordinary claims.
  • 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_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.
Created at: March 30, 2026, 6:02 p.m.