Triple

T23126732
Position Surface form Disambiguated ID Type / Status
Subject Tom Izzo E577050 entity
Predicate workLocation P7 FINISHED
Object East Lansing, Michigan 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: East Lansing, Michigan | Statement: [Tom Izzo, workLocation, East Lansing, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East Lansing, Michigan
Context triple: [Tom Izzo, 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. Lansing campus
    Lansing campus is one of Davenport University's educational locations, offering a range of academic programs and student services in Michigan's capital city.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5482588190b95b36075ecc7f24 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.