Triple

T21935211
Position Surface form Disambiguated ID Type / Status
Subject The New York Times Economix blog E541668 entity
Predicate contributor P1993 FINISHED
Object Edward Glaeser NE NERFINISHED

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: Edward Glaeser | Statement: [The New York Times Economix blog, contributor, Edward Glaeser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Glaeser
Context triple: [The New York Times Economix blog, contributor, Edward Glaeser]
  • A. Edward Glaeser chosen
    Edward Glaeser is an American economist and Harvard professor renowned for his work on urban economics, cities, and the role of ideas and institutions in economic growth.
  • B. Raj Chetty
    Raj Chetty is an influential American economist known for his empirical research on inequality, social mobility, and public policy using large-scale data.
  • C. Benjamin M. Friedman
    Benjamin M. Friedman is an American economist known for his influential work on monetary policy, economic growth, and the moral dimensions of capitalism.
  • D. Eric Klinenberg
    Eric Klinenberg is an American sociologist and author known for his work on urbanism, social isolation, and contemporary social life.
  • E. Nicholas Tabarrok
    Nicholas Tabarrok is a Canadian film producer known for his work on independent and genre films, including the superhero comedy-drama "Defendor."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124048fe48190987340d5a6945176 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:52 p.m.