Triple

T17121732
Position Surface form Disambiguated ID Type / Status
Subject Belk E415482 entity
Predicate predecessor P97 FINISHED
Object New York Racket E415482 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: New York Racket | Statement: [Belk, predecessor, New York Racket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York Racket
Context triple: [Belk, predecessor, New York Racket]
  • A. New York Racket chosen
    New York Racket was the original name of the American department store chain that later became known as Belk.
  • B. New York's Boldest
    "New York's Boldest" is the motto and nickname for the New York City Department of Correction, highlighting the courage and professionalism of its officers.
  • C. King of New York
    King of New York is a 1990 neo-noir crime film directed by Abel Ferrara, starring Christopher Walken as a ruthless yet charismatic drug lord seeking to reclaim his power in New York City’s underworld.
  • D. The Racketeer
    The Racketeer is a legal thriller novel by John Grisham that follows a wrongfully imprisoned lawyer who leverages inside knowledge of a federal judge’s murder to bargain for his freedom and revenge.
  • E. Brooklyn's Finest
    Brooklyn's Finest is a 2009 crime drama film that interweaves the stories of three troubled New York City police officers whose lives collide during a dangerous operation in Brooklyn.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e809ee888190a2cf69d59c0b9c20 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014147db18819083e6cfbb597687c1 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.