Triple

T19299818
Position Surface form Disambiguated ID Type / Status
Subject John Leonard E482663 entity
Predicate employer P7 FINISHED
Object New York Magazine — NE NERFINISHED

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 Magazine | Statement: [John Leonard, employer, New York Magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New York Magazine
Context triple: [John Leonard, employer, New York Magazine]
  • A. New York Magazine chosen
    New York Magazine is an American biweekly magazine and digital media outlet known for its coverage of New York City culture, politics, style, and entertainment.
  • B. The New York Observer
    The New York Observer is a New York City–based weekly newspaper and online publication known for its coverage of local politics, media, culture, and real estate.
  • C. The New Yorker
    The New Yorker is an American magazine renowned for its in-depth journalism, literary fiction, cultural commentary, and distinctive cartoons.
  • D. New Yorker
    New Yorker is a nameplate used by Chrysler for a long-running line of full-size luxury automobiles produced primarily in the mid-20th century.
  • E. New Yorker
    A New Yorker is a resident or native of New York, especially New York City, often associated with a fast-paced lifestyle, cultural diversity, and a distinctive direct attitude.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc895c68819096d06746f1b84e06 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.