Triple

T1252920
Position Surface form Disambiguated ID Type / Status
Subject Ragnar Frisch E26916 entity
Predicate influenced P9 FINISHED
Object Trygve Haavelmo E26523 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: Trygve Haavelmo | Statement: [Ragnar Frisch, influenced, Trygve Haavelmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trygve Haavelmo
Context triple: [Ragnar Frisch, influenced, Trygve Haavelmo]
  • A. Trygve Haavelmo chosen
    Trygve Haavelmo was a Norwegian economist and Nobel laureate renowned for his pioneering work in econometrics and the probabilistic foundations of economic theory.
  • B. Ragnar Frisch
    Ragnar Frisch was a Norwegian economist and co-recipient of the first Nobel Memorial Prize in Economic Sciences, recognized as a founder of econometrics and modern macroeconomic analysis.
  • C. Finn E. Kydland
    Finn E. Kydland is a Norwegian economist and Nobel laureate renowned for his work on time consistency in economic policy and the driving forces behind business cycles.
  • D. Tjalling C. Koopmans
    Tjalling C. Koopmans was a Dutch-American economist and Nobel laureate renowned for his contributions to econometrics and optimal resource allocation theory.
  • E. Wassily Leontief
    Wassily Leontief was a Nobel Prize–winning economist best known for developing input–output analysis to study the interdependence of sectors in an economy.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf875cf48190b6781d41097ee39b completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb3bf588190a6d042a01dfa31e5 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:47 p.m.