Triple

T10776803
Position Surface form Disambiguated ID Type / Status
Subject Ronan Farrow E254216 entity
Predicate employer P7 FINISHED
Object The New Yorker E60450 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: The New Yorker | Statement: [Ronan Farrow, employer, The New Yorker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The New Yorker
Context triple: [Ronan Farrow, employer, The New Yorker]
  • A. The New Yorker chosen
    The New Yorker is an American magazine renowned for its in-depth journalism, literary fiction, cultural commentary, and distinctive cartoons.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. The New York Times Magazine
    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.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.