Triple

T17496336
Position Surface form Disambiguated ID Type / Status
Subject Nipsey Russell E426070 entity
Predicate role P268 FINISHED
Object Officer Anderson in Car 54, Where Are You? NE NERFINISHED

How this triple was built (3 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: Officer Anderson in Car 54, Where Are You? | Statement: [Nipsey Russell, role, Officer Anderson in Car 54, Where Are You?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Officer Anderson in Car 54, Where Are You?
Context triple: [Nipsey Russell, role, Officer Anderson in Car 54, Where Are You?]
  • A. Car 54, Where Are You? (TV series)
    Car 54, Where Are You? is an early-1960s American sitcom centered on the comedic misadventures of two bumbling New York City police officers in the Bronx.
  • B. Officer Martinez in The Watch
    Officer Martinez in *The Watch* is a bumbling but well-meaning neighborhood patrolman who becomes part of the suburban vigilante group in the sci-fi comedy film.
  • C. Officer Anderson
    Officer Anderson is a fictional law enforcement character played by actor Michael Biehn.
  • D. Dragnet
    Dragnet is a 1987 comedy crime film that parodies the classic police procedural TV series, starring Dan Aykroyd and Tom Hanks as mismatched Los Angeles detectives.
  • E. Lieutenant Andrew Bogomil in Beverly Hills Cop
    Lieutenant Andrew Bogomil is the disciplined yet fair Beverly Hills police lieutenant who becomes a key ally to Axel Foley in the Beverly Hills Cop film series.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Officer Anderson in Car 54, Where Are You?
Target entity description: Officer Anderson in *Car 54, Where Are You?* is a supporting police officer character on the 1960s American sitcom about the comedic misadventures of New York City patrolmen.
  • A. Car 54, Where Are You? (TV series) chosen
    Car 54, Where Are You? is an early-1960s American sitcom centered on the comedic misadventures of two bumbling New York City police officers in the Bronx.
  • B. Officer Martinez in The Watch
    Officer Martinez in *The Watch* is a bumbling but well-meaning neighborhood patrolman who becomes part of the suburban vigilante group in the sci-fi comedy film.
  • C. Officer Anderson
    Officer Anderson is a fictional law enforcement character played by actor Michael Biehn.
  • D. Dragnet
    Dragnet is a 1987 comedy crime film that parodies the classic police procedural TV series, starring Dan Aykroyd and Tom Hanks as mismatched Los Angeles detectives.
  • E. Lieutenant Andrew Bogomil in Beverly Hills Cop
    Lieutenant Andrew Bogomil is the disciplined yet fair Beverly Hills police lieutenant who becomes a key ally to Axel Foley in the Beverly Hills Cop film series.
  • F. None of above.

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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520e9c8c8190aa955766bc915d26 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.