Triple

T13547272
Position Surface form Disambiguated ID Type / Status
Subject George A. Akerlof E323544 entity
Predicate notableStudent P4838 FINISHED
Object Joseph Stiglitz E6722 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: Joseph Stiglitz | Statement: [George A. Akerlof, notableStudent, Joseph Stiglitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Stiglitz
Context triple: [George A. Akerlof, notableStudent, Joseph Stiglitz]
  • A. Joseph Stiglitz chosen
    Joseph Stiglitz is a Nobel Prize–winning American economist renowned for his work on information asymmetry, inequality, and critiques of unregulated markets.
  • B. Paul Krugman
    Paul Krugman is an American economist, Nobel laureate, and prominent public intellectual known for his work in international trade theory and his influential economic commentary.
  • C. Michael Spence
    Michael Spence is a Nobel Prize–winning American economist best known for his work on signaling theory in markets with asymmetric information.
  • D. Michael Spence
    Michael Spence is an Australian legal scholar and university leader who has served as the head of major universities, including University College London.
  • E. Dani Rodrik
    Dani Rodrik is a prominent Turkish economist known for his influential work on globalization, economic development, and the political economy of policy reform.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdb466881908fb46642dc66849d completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da2c2008190b43a653a349ea0c7 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.