Triple

T5712109
Position Surface form Disambiguated ID Type / Status
Subject Wassily Leontief E125932 entity
Predicate familyName P18 FINISHED
Object Leontief E125932 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: Leontief | Statement: [Wassily Leontief, familyName, Leontief]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leontief
Context triple: [Wassily Leontief, familyName, Leontief]
  • A. Wassily Leontief chosen
    Wassily Leontief was a Nobel Prize–winning economist best known for developing input–output analysis to study the interdependence of sectors in an economy.
  • B. Simon Kuznets
    Simon Kuznets was a Nobel Prize–winning economist best known for his work on economic growth, national income accounting, and the formulation of the Kuznets curve.
  • C. Jacob Viner
    Jacob Viner was a prominent 20th-century economist known for his influential work in international trade theory, public finance, and his role in shaping modern economic thought.
  • D. Gustav Heckscher
    Gustav Heckscher was a prominent member of the influential Heckscher family, known for his role in business and public life in the late 19th and early 20th centuries.
  • E. Lawrence Klein
    Lawrence Klein was an American economist and Nobel laureate renowned for his pioneering work in developing econometric models for forecasting economic trends.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b386a08190bd2738d93861edc2 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a72181081909209a38c3ff7460b completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.