Triple

T10604756
Position Surface form Disambiguated ID Type / Status
Subject Frank Rich E275843 entity
Predicate employer P7 FINISHED
Object New York Magazine E96750 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 Magazine | Statement: [Frank Rich, employer, New York Magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New York Magazine
Context triple: [Frank Rich, 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 (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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4992248190b640d743ccf02c82 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eb726bc8190a8db7357bd126016 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:32 p.m.