Triple

T945973
Position Surface form Disambiguated ID Type / Status
Subject Peter Benchley E20413 entity
Predicate employer P7 FINISHED
Object Newsweek E10395 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: Newsweek | Statement: [Peter Benchley, employer, Newsweek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newsweek
Context triple: [Peter Benchley, employer, Newsweek]
  • A. Newsweek magazine chosen
    Newsweek magazine is a long-running American weekly news publication known for its national and international news coverage, analysis, and commentary.
  • B. 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.
  • C. New York Post
    The New York Post is a long-running New York City–based daily tabloid newspaper known for its sensational headlines, conservative editorial stance, and focus on celebrity, crime, and political news.
  • D. The New York Times
    The New York Times is a leading American newspaper renowned for its influential journalism, extensive global coverage, and role as a newspaper of record.
  • E. National Journal
    National Journal is an American political journalism and policy analysis publication known for its in-depth coverage of U.S. politics, Congress, and public affairs.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a61b648190b1b6c932e047e161 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e7d55c8190b9b871caead76733 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.