Triple

T4550746
Position Surface form Disambiguated ID Type / Status
Subject Theodore Schultz E110156 entity
Predicate notableWork P4 FINISHED
Object Transforming Traditional Agriculture
Transforming Traditional Agriculture is an influential economic study by Theodore Schultz that analyzes how to increase productivity and modernize subsistence farming in developing countries.
E451837 NE FINISHED

How this triple was built (4 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: Transforming Traditional Agriculture | Statement: [Theodore Schultz, notableWork, Transforming Traditional Agriculture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transforming Traditional Agriculture
Context triple: [Theodore Schultz, notableWork, Transforming Traditional Agriculture]
  • A. Lifelong Learning for Farmers
    Lifelong Learning for Farmers is an educational initiative that provides farmers with continuous access to knowledge, skills, and information and communication technologies to improve their livelihoods and agricultural practices.
  • B. Green Revolution
    The Green Revolution was a mid-20th-century agricultural transformation that dramatically increased global crop yields through high-yield varieties, synthetic fertilizers, and modern farming techniques, significantly reducing hunger in many developing countries.
  • C. evergreen revolution
    The evergreen revolution is an agricultural development concept that seeks to sustainably increase farm productivity without ecological harm, emphasizing environmentally friendly practices and long-term food security.
  • D. National Programs in Natural Resources and Sustainable Agricultural Systems
    National Programs in Natural Resources and Sustainable Agricultural Systems is a U.S. Agricultural Research Service research portfolio focused on conserving natural resources and advancing sustainable agricultural production systems.
  • E. Organic Agriculture Research and Extension Initiative
    The Organic Agriculture Research and Extension Initiative is a U.S. federal grant program that funds research, education, and outreach to improve and expand organic farming systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Transforming Traditional Agriculture
Triple: [Theodore Schultz, notableWork, Transforming Traditional Agriculture]
Generated description
Transforming Traditional Agriculture is an influential economic study by Theodore Schultz that analyzes how to increase productivity and modernize subsistence farming in developing countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Transforming Traditional Agriculture
Target entity description: Transforming Traditional Agriculture is an influential economic study by Theodore Schultz that analyzes how to increase productivity and modernize subsistence farming in developing countries.
  • A. Lifelong Learning for Farmers
    Lifelong Learning for Farmers is an educational initiative that provides farmers with continuous access to knowledge, skills, and information and communication technologies to improve their livelihoods and agricultural practices.
  • B. Green Revolution
    The Green Revolution was a mid-20th-century agricultural transformation that dramatically increased global crop yields through high-yield varieties, synthetic fertilizers, and modern farming techniques, significantly reducing hunger in many developing countries.
  • C. evergreen revolution
    The evergreen revolution is an agricultural development concept that seeks to sustainably increase farm productivity without ecological harm, emphasizing environmentally friendly practices and long-term food security.
  • D. National Programs in Natural Resources and Sustainable Agricultural Systems
    National Programs in Natural Resources and Sustainable Agricultural Systems is a U.S. Agricultural Research Service research portfolio focused on conserving natural resources and advancing sustainable agricultural production systems.
  • E. Organic Agriculture Research and Extension Initiative
    The Organic Agriculture Research and Extension Initiative is a U.S. federal grant program that funds research, education, and outreach to improve and expand organic farming systems.
  • F. None of above. chosen

Provenance (5 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f5a0a081909977ccbb8aba633c completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb954393c8190b6ff6a5faa129d09 completed March 20, 2026, 9:17 p.m.
NEDg Description generation batch_69bdbe8c545881909fd921cc1736f297 completed March 20, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69bdbf4b2a408190b476e5f898605828 completed March 20, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:05 p.m.