Triple

T15884868
Position Surface form Disambiguated ID Type / Status
Subject Matilda Jeffries E385165 entity
Predicate worksFor P5820 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: [Matilda Jeffries, worksFor, Time magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time magazine
Context triple: [Matilda Jeffries, worksFor, 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. Chance magazine
    Chance magazine is a popular statistics-focused publication that presents statistical ideas, applications, and case studies to a broad audience, often highlighting real-world data and current events.
  • E. Newsweek magazine
    Newsweek magazine is a long-running American weekly news publication known for its national and international news coverage, analysis, and commentary.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95651f88190a9aac72a667b999f completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.