Triple

T16445404
Position Surface form Disambiguated ID Type / Status
Subject Wieser E399410 entity
Predicate hasVariant P455 FINISHED
Object von Wieser E90791 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: von Wieser | Statement: [Wieser, hasVariant, von Wieser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Wieser
Context triple: [Wieser, hasVariant, von Wieser]
  • A. Friedrich von Wieser chosen
    Friedrich von Wieser was an Austrian economist of the Austrian School known for his work on marginal utility, opportunity cost, and the theory of imputation.
  • B. Eugen von Böhm-Bawerk
    Eugen von Böhm-Bawerk was an Austrian economist renowned for his influential work on capital and interest theory and as a leading figure of the Austrian School of economics.
  • C. Wilhelm Roscher
    Wilhelm Roscher was a 19th-century German economist and founding figure of the German historical school, known for emphasizing historical and empirical methods in economic analysis.
  • D. Carl Menger
    Carl Menger was an Austrian economist and founder of the Austrian School, best known for developing the theory of marginal utility and subjective value.
  • E. Friedrich List
    Friedrich List was a 19th-century German economist best known for his advocacy of national economic development and protectionist policies against free trade.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdb5d908190bb6c5cb3c794cf4b completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecfd99c8190a4375a0f62aa50d1 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:10 a.m.