Triple

T4856088
Position Surface form Disambiguated ID Type / Status
Subject Arnold Harberger E108539 entity
Predicate familyName P18 FINISHED
Object Harberger E108539 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: Harberger | Statement: [Arnold Harberger, familyName, Harberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harberger
Context triple: [Arnold Harberger, familyName, Harberger]
  • A. Thaler
    The Thaler was a large silver coin and monetary unit widely used across various German states and parts of Europe from the 16th to 19th centuries, serving as a precursor to the modern dollar.
  • B. Laffer
    Laffer is a surname most prominently associated with Arthur Laffer, the American economist known for the Laffer curve concept in supply-side economics.
  • C. Arthur Laffer
    Arthur Laffer is an American economist best known for the "Laffer Curve" theory linking tax rates to government revenue and for shaping conservative supply-side economic policy.
  • D. Tobin
    Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
  • E. Arnold Harberger chosen
    Arnold Harberger is an influential American economist known for his work on welfare economics, cost-benefit analysis, and the measurement of deadweight loss, and as a prominent figure of the Chicago School of economics.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3df75c8190830e2c927cc5a4f8 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cec638481909a3345f348116bbc completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.