Triple

T21431952
Position Surface form Disambiguated ID Type / Status
Subject Aisha Hinds E528708 entity
Predicate notableWork P4 FINISHED
Object CSI: NY NE NERFINISHED

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: NY | Statement: [Aisha Hinds, notableWork, CSI: NY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSI: NY
Context triple: [Aisha Hinds, notableWork, CSI: NY]
  • A. CSI: NY chosen
    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.
  • B. 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.
  • C. CSI: Miami
    CSI: Miami is an American police procedural television series that follows a team of forensic investigators solving crimes in Miami using advanced scientific techniques.
  • 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. SVU
    SVU is the three-letter IATA airport code assigned to Savusavu Airport in Fiji.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3ec70f08190b84c4f747cfb290f completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.