Triple

T5711819
Position Surface form Disambiguated ID Type / Status
Subject Michiko Kakutani E125926 entity
Predicate employer P7 FINISHED
Object Time magazine E801 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: Time magazine | Statement: [Michiko Kakutani, employer, Time magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time magazine
Context triple: [Michiko Kakutani, employer, Time magazine]
  • A. Time magazine chosen
    Time magazine is a long-running American weekly news magazine known for its influential coverage of global events, politics, and culture.
  • B. Life magazine
    Life magazine was a hugely influential American weekly publication best known for its pioneering photojournalism and vivid visual coverage of 20th-century events and culture.
  • C. 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.
  • D. Newsweek magazine
    Newsweek magazine is a long-running American weekly news publication known for its national and international news coverage, analysis, and commentary.
  • E. Fortune magazine
    Fortune magazine is a prominent American business publication known for its in-depth reporting on corporate affairs, economics, and its influential rankings such as the Fortune 500.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b386a08190bd2738d93861edc2 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dedffd481909fafd916190b016f completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:46 p.m.