Triple

T17797362
Position Surface form Disambiguated ID Type / Status
Subject Gordon Tullock E444327 entity
Predicate name P16 FINISHED
Object Gordon Tullock NE NERFINISHED

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: Gordon Tullock | Statement: [Gordon Tullock, name, Gordon Tullock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Tullock
Context triple: [Gordon Tullock, name, Gordon Tullock]
  • A. Gordon Tullock chosen
    Gordon Tullock was an influential economist and one of the founders of public choice theory, known for his work on rent-seeking and the economic analysis of political processes.
  • B. George Stigler
    George Stigler was an American economist and Nobel laureate renowned for his work on industrial organization, the economics of regulation, and the history of economic thought.
  • C. Harold Demsetz
    Harold Demsetz was an influential American economist known for his work on property rights, the theory of the firm, and industrial organization.
  • D. Marion Ruth Hartung Coase
    Marion Ruth Hartung Coase was the wife of Nobel Prize–winning economist Ronald Coase and a long-time partner in his personal and professional life.
  • E. Arnold Harberger
    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 (2 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fbc83481909a30fc7203b64099 completed April 19, 2026, 7:44 a.m.
Created at: April 10, 2026, 10:13 a.m.