Triple

T16622635
Position Surface form Disambiguated ID Type / Status
Subject Candice Patton E403869 entity
Predicate hasActedIn P15620 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: [Candice Patton, hasActedIn, CSI: Miami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSI: Miami
Context triple: [Candice Patton, hasActedIn, 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754f4f508190a5b4b8511623fcd4 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db4a9288190aea7db58bb379404 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.