Triple

T6296385
Position Surface form Disambiguated ID Type / Status
Subject Don Johnson E141141 entity
Predicate televisionSeries P3279 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: [Don Johnson, televisionSeries, Nash Bridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nash Bridges
Context triple: [Don Johnson, televisionSeries, 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e41fb4708190b6b1433e27c9276e completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:27 p.m.