Triple

T10223680
Position Surface form Disambiguated ID Type / Status
Subject Anne Applebaum E242644 entity
Predicate employer P7 FINISHED
Object The Economist E25741 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 Economist | Statement: [Anne Applebaum, employer, The Economist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Economist
Context triple: [Anne Applebaum, employer, The Economist]
  • A. The Economist chosen
    The Economist is an international weekly news and business publication known for its in-depth analysis and commentary on global politics, economics, and current affairs.
  • B. Financial Times
    The Financial Times is a leading international daily newspaper based in London, renowned for its global business, economic, and financial news coverage.
  • C. The Wall Street Journal
    The Wall Street Journal is a leading American business-focused daily newspaper known for its influential financial reporting and analysis.
  • D. The Economist Group
    The Economist Group is an international media and information company best known for publishing The Economist magazine and providing analysis on global affairs, business, and economics.
  • E. The Sunday Times
    The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa84a9ac819093d551005a1c8f3d completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a8457e9c819085f222bb002be892 completed April 8, 2026, 7:11 p.m.
Created at: April 6, 2026, 11:10 a.m.