Triple

T654334
Position Surface form Disambiguated ID Type / Status
Subject Marcello Truzzi E11613 entity
Predicate placeOfDeath P21 FINISHED
Object Ann Arbor, Michigan E46153 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: Ann Arbor, Michigan | Statement: [Marcello Truzzi, placeOfDeath, Ann Arbor, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Arbor, Michigan
Context triple: [Marcello Truzzi, placeOfDeath, Ann Arbor, Michigan]
  • A. Ann Arbor chosen
    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.
  • B. East Lansing
    East Lansing is a city in central Michigan best known as the home of Michigan State University.
  • C. Grand Rapids, Michigan
    Grand Rapids, Michigan is a mid-sized city in western Michigan known for its strong Dutch-American heritage, vibrant arts scene, and historic furniture manufacturing industry.
  • D. Lansing, Michigan
    Lansing, Michigan is the capital city of the U.S. state of Michigan and a historic center of automobile manufacturing and industry.
  • E. Ecorse, Michigan
    Ecorse, Michigan is a small industrial city in Wayne County along the Detroit River, historically known for its steel manufacturing and role in the Downriver Detroit region.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bf512bc81908ff403ce87337a0d completed March 7, 2026, 4:01 p.m.
Created at: March 1, 2026, 7:36 p.m.