Triple

T3064598
Position Surface form Disambiguated ID Type / Status
Subject Robert J. Shiller E62073 entity
Predicate familyName P18 FINISHED
Object Shiller E62073 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: Shiller | Statement: [Robert J. Shiller, familyName, Shiller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiller
Context triple: [Robert J. Shiller, familyName, Shiller]
  • A. Robert J. Shiller chosen
    Robert J. Shiller is an American economist and Nobel laureate renowned for his work on asset prices, financial bubbles, and behavioral finance.
  • B. Robert J. Hodrick
    Robert J. Hodrick is an American economist best known for his work in macroeconomics and finance, including the development of the Hodrick–Prescott filter used to analyze business cycles.
  • C. Barro
    Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • 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. Minsky
    Minsky is a surname most notably associated with Marvin Minsky, a pioneering American cognitive scientist and co-founder of the field of artificial intelligence.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea2154c8190ab243feb77170a15 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1402108190a2d24e7eb523f658 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.