Triple

T9430217
Position Surface form Disambiguated ID Type / Status
Subject Steven Bochco E227354 entity
Predicate notableWork P4 FINISHED
Object Brooklyn South E539385 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: Brooklyn South | Statement: [Steven Bochco, notableWork, Brooklyn South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn South
Context triple: [Steven Bochco, notableWork, Brooklyn South]
  • A. Brooklyn South chosen
    Brooklyn South is an American police drama television series that follows the lives and cases of officers in a tough Brooklyn precinct.
  • B. Brooklyn Girls
    "Brooklyn Girls" is a breakout hip-hop single by rapper Charles Hamilton that helped establish his underground buzz in the late 2000s.
  • C. Brooklyn North
    Brooklyn North is a policing command area of the New York City Police Department that encompasses several precincts in the northern part of Brooklyn.
  • D. South Siders
    South Siders is a nickname for the Chicago White Sox, referring to the Major League Baseball team based on the South Side of Chicago.
  • E. Brighton Beach Avenue
    Brighton Beach Avenue is a major commercial thoroughfare in the Brighton Beach neighborhood of Brooklyn, New York City, known for its dense concentration of shops, restaurants, and Russian-speaking businesses.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e5ed7408190beda5fb078e9345a completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11038f7b88190bd6b895f5544c63e completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:49 p.m.