Triple

T9732776
Position Surface form Disambiguated ID Type / Status
Subject William Greene E235984 entity
Predicate hasPart P35 FINISHED
Object William Greene (economist) E235984 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: William Greene (economist) | Statement: [William Greene, hasPart, William Greene (economist)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Greene (economist)
Context triple: [William Greene, hasPart, William Greene (economist)]
  • A. William Greene chosen
    William Greene is a relatively common personal name shared by multiple notable individuals across fields such as politics, academia, and the arts.
  • B. Robert P. Murphy
    Robert P. Murphy is an American Austrian School economist, author, and podcaster known for his work on free-market economics, business cycle theory, and critiques of mainstream macroeconomics.
  • C. James Meade
    James Meade was an American military officer after whom Meade County in Kentucky was named, recognized for his service in the early 19th century.
  • D. James Meade
    James Meade was a British economist and Nobel Prize laureate renowned for his influential work on international trade and economic policy.
  • E. Laurence Keen
    Laurence Keen is a British professional golfer known for competing on developmental tours and national circuits.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb3d6e4819090b3c7fb92550c57 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afc4dcc4819096d29c1a0529d272 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.