Triple

T8475076
Position Surface form Disambiguated ID Type / Status
Subject Clifford M. Hardin E200369 entity
Predicate workLocation P7 FINISHED
Object East Lansing, Michigan E52734 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: East Lansing, Michigan | Statement: [Clifford M. Hardin, workLocation, East Lansing, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East Lansing, Michigan
Context triple: [Clifford M. Hardin, workLocation, East Lansing, Michigan]
  • A. East Lansing chosen
    East Lansing is a city in central Michigan best known as the home of Michigan State University.
  • B. Ann Arbor
    Ann Arbor is a vibrant college town in southeastern Michigan best known as the home of the University of Michigan and a center for education, research, and arts.
  • C. Lansing, Michigan
    Lansing, Michigan is the capital city of the U.S. state of Michigan and a historic center of automobile manufacturing and industry.
  • D. Oxford, Michigan
    Oxford, Michigan is a small village in northeastern Oakland County known for its historic downtown and role as a suburban community within the Detroit metropolitan area.
  • E. Berkley, Michigan
    Berkley, Michigan is a small suburban city in Oakland County known for its tree-lined neighborhoods, family-friendly community, and proximity to Detroit.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f89e0081909e74beb7c8f55653 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de1fae48190a1149f639faca147 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:11 p.m.