Triple

T20231965
Position Surface form Disambiguated ID Type / Status
Subject Russell Wayne Baker E495546 entity
Predicate wroteFor P1996 FINISHED
Object The New York Times 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: The New York Times Magazine | Statement: [Russell Wayne Baker, wroteFor, The New York Times Magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The New York Times Magazine
Context triple: [Russell Wayne Baker, wroteFor, The New York Times Magazine]
  • A. The New York Times Magazine chosen
    The New York Times Magazine is a weekly long-form journalism and feature magazine known for its in-depth reporting, narrative essays, and distinctive photography and design.
  • B. The New Yorker
    The New Yorker is an American magazine renowned for its in-depth journalism, literary fiction, cultural commentary, and distinctive cartoons.
  • C. New York Magazine
    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.
  • D. Slate magazine
    Slate magazine is an online daily magazine known for its analysis and commentary on politics, news, culture, and technology.
  • E. Time magazine
    Time magazine is a long-running American weekly news magazine known for its influential coverage of global events, politics, and culture.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.