Triple

T3286524
Position Surface form Disambiguated ID Type / Status
Subject Cheech Marin E68993 entity
Predicate notableWork P4 FINISHED
Object Nash Bridges E196519 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: Nash Bridges | Statement: [Cheech Marin, notableWork, Nash Bridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nash Bridges
Context triple: [Cheech Marin, notableWork, Nash Bridges]
  • A. Nash Bridges chosen
    Nash Bridges is an American television crime drama series set in San Francisco, starring Don Johnson as a charismatic police inspector.
  • B. Detective Garrison
    Detective Garrison is a fictional investigator who serves as the central sleuth unraveling the mystery in the film "Gorilla at Large."
  • C. Detective Riley
    Detective Riley is a supporting police investigator character in the 2016 psychological thriller film "The Girl on the Train," involved in unraveling the central mystery.
  • D. Kojak
    Kojak is a 1970s American television crime drama series centered on the tough, lollipop-licking New York City detective Theo Kojak, played by Telly Savalas.
  • E. NYPD Blue
    NYPD Blue is a critically acclaimed American television police drama series that aired from 1993 to 2005, known for its gritty realism and boundary-pushing portrayal of New York City detectives.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.