Triple

T3821414
Position Surface form Disambiguated ID Type / Status
Subject Kamer Daron Acemoglu E84380 entity
Predicate familyName P18 FINISHED
Object Acemoglu E13823 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: Acemoglu | Statement: [Kamer Daron Acemoglu, familyName, Acemoglu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acemoglu
Context triple: [Kamer Daron Acemoglu, familyName, Acemoglu]
  • A. Daron Acemoglu chosen
    Daron Acemoglu is a prominent Turkish-American economist known for his influential work on political economy, institutions, and economic development, and as co-author of the book "Why Nations Fail."
  • B. Dani Rodrik
    Dani Rodrik is a prominent Turkish economist known for his influential work on globalization, economic development, and the political economy of policy reform.
  • C. Barro
    Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • D. Ha-Joon Chang
    Ha-Joon Chang is a South Korean institutional economist and author known for his critical views on free-market orthodoxy and influential works on development economics and industrial policy.
  • E. Douglass C. North
    Douglass C. North was an American economist and Nobel laureate known for pioneering the field of new institutional economics and analyzing how institutions shape long-term economic development.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea62cdfc81909a3bf458b73d60e7 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4998248190b4174dd80a8e790c completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.