Triple

T17142326
Position Surface form Disambiguated ID Type / Status
Subject Virginia Madsen E415997 entity
Predicate notableWork P4 FINISHED
Object CSI: Miami E197714 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: Miami | Statement: [Virginia Madsen, notableWork, CSI: Miami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSI: Miami
Context triple: [Virginia Madsen, notableWork, CSI: Miami]
  • A. CSI: Miami chosen
    CSI: Miami is an American police procedural television series that follows a team of forensic investigators solving crimes in Miami using advanced scientific techniques.
  • 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: 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.
  • 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. 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.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d5de10819090cbd65661b018d3 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014154b9848190ac01602eb01ae710 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.