Triple

T9070751
Position Surface form Disambiguated ID Type / Status
Subject Tjalling C. Koopmans E217358 entity
Predicate influencedBy P9 FINISHED
Object Jan Tinbergen E39667 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: Jan Tinbergen | Statement: [Tjalling C. Koopmans, influencedBy, Jan Tinbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Tinbergen
Context triple: [Tjalling C. Koopmans, influencedBy, Jan Tinbergen]
  • A. Jan Tinbergen chosen
    Jan Tinbergen was a Dutch economist and Nobel laureate renowned as a pioneer of econometrics and modern economic policy modeling.
  • B. 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.
  • C. Lawrence Klein
    Lawrence Klein was an American economist and Nobel laureate renowned for his pioneering work in developing econometric models for forecasting economic trends.
  • D. 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.
  • E. Ragnar Nurkse
    Ragnar Nurkse was an influential Estonian economist known for his work on development economics and the theory of balanced growth in poor countries.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ec5c0819089bb42448edf391e completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05beac7a08190a4e7634bf02ce304 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:11 p.m.