Triple

T13523710
Position Surface form Disambiguated ID Type / Status
Subject Nathan Gamble E322965 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: [Nathan Gamble, 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: [Nathan Gamble, 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549c016c8190945a185b2bc20689 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.