Triple

T886158
Position Surface form Disambiguated ID Type / Status
Subject Glenn D. Lowry E19134 entity
Predicate name P16 FINISHED
Object Glenn D. Lowry E19134 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: Glenn D. Lowry | Statement: [Glenn D. Lowry, name, Glenn D. Lowry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenn D. Lowry
Context triple: [Glenn D. Lowry, name, Glenn D. Lowry]
  • A. Glenn D. Lowry chosen
    Glenn D. Lowry is an American art historian and museum director best known for leading New York’s Museum of Modern Art through major expansions and modernization initiatives.
  • B. Alan M. Garber
    Alan M. Garber is an American physician-economist and academic leader known for his work in health policy and for serving in top administrative roles at Harvard University.
  • C. Thomas J. Biersteker
    Thomas J. Biersteker is an American political scientist and international relations scholar known for his work on global governance, sanctions, and international security.
  • D. William K. Reilly
    William K. Reilly is an American environmental leader and former Administrator of the U.S. Environmental Protection Agency known for his influential role in advancing environmental policy and conservation.
  • E. Donald W. Loveland
    Donald W. Loveland is a logician and computer scientist known for his influential contributions to automated theorem proving and logic in computer science.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace714ec81909b0b1deaeac66be5 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89f270a08190927e07dd71652299 completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:39 p.m.