Triple

T6738056
Position Surface form Disambiguated ID Type / Status
Subject Engaging the Muslim World E154006 entity
Predicate author P4 FINISHED
Object Juan Cole E28494 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: Juan Cole | Statement: [Engaging the Muslim World, author, Juan Cole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Cole
Context triple: [Engaging the Muslim World, author, Juan Cole]
  • A. Juan Cole chosen
    Juan Cole is an American historian and commentator best known for his expertise on the modern Middle East and U.S. foreign policy.
  • B. Peter Beinart
    Peter Beinart is an American political commentator, journalist, and professor known for his writings on U.S. foreign policy, liberalism, and Middle East politics.
  • C. Paul Berman
    Paul Berman is an American writer and political essayist known for his analyses of liberalism, totalitarianism, and U.S. foreign policy in publications such as The New Republic.
  • D. Alfred W. McCoy
    Alfred W. McCoy is an American historian and author known for his influential work on U.S. foreign policy, empire, and the global drug trade.
  • E. David Sirota
    David Sirota is an American journalist, author, and political commentator who co-wrote the screenplay for the satirical disaster film "Don't Look Up."
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1866dbc81909483fbd5ed6a3ec8 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742444c3081908121fb01c93551f0 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 2:10 p.m.