Triple

T21846428
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn South E539385 entity
Predicate mainCharacter P1183 FINISHED
Object Officer Jimmy Doyle 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 Jimmy Doyle | Statement: [Brooklyn South, mainCharacter, Officer Jimmy Doyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Officer Jimmy Doyle
Context triple: [Brooklyn South, mainCharacter, Officer Jimmy Doyle]
  • A. Officer Francis Muldoon
    Officer Francis Muldoon is a bumbling yet well-meaning New York City police officer character from the 1960s television sitcom "Car 54, Where Are You?"
  • B. Officer Frank Smith
    Officer Frank Smith is a fictional Los Angeles police officer who serves as Sergeant Joe Friday’s partner in the classic American crime drama series "Dragnet."
  • C. Officer Thomas Burke
    Officer Thomas Burke is a central character in the horror film "Final Destination 2," a police officer who becomes entangled in a deadly chain of premonitions and fatal accidents.
  • D. Officer Pete Malloy
    Officer Pete Malloy is a fictional Los Angeles police officer and one of the two main protagonists in the classic TV series "Adam-12."
  • E. Officer John Hunton
    Officer John Hunton is the main police detective protagonist in the 1995 horror film "The Mangler," who investigates a series of gruesome deaths linked to a possessed industrial laundry machine.
  • 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 Jimmy Doyle
Target entity description: Officer Jimmy Doyle is a fictional New York City police officer known as the tough, rule-bending protagonist in crime dramas centered on Brooklyn’s gritty streets.
  • A. Officer Francis Muldoon
    Officer Francis Muldoon is a bumbling yet well-meaning New York City police officer character from the 1960s television sitcom "Car 54, Where Are You?"
  • B. Officer Frank Smith
    Officer Frank Smith is a fictional Los Angeles police officer who serves as Sergeant Joe Friday’s partner in the classic American crime drama series "Dragnet."
  • C. Officer Thomas Burke
    Officer Thomas Burke is a central character in the horror film "Final Destination 2," a police officer who becomes entangled in a deadly chain of premonitions and fatal accidents.
  • D. Officer Pete Malloy
    Officer Pete Malloy is a fictional Los Angeles police officer and one of the two main protagonists in the classic TV series "Adam-12."
  • E. Officer John Hunton
    Officer John Hunton is the main police detective protagonist in the 1995 horror film "The Mangler," who investigates a series of gruesome deaths linked to a possessed industrial laundry machine.
  • F. None of above. chosen

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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd546fb48190a7b815233650c2e7 completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.