Triple

T4267697
Position Surface form Disambiguated ID Type / Status
Subject Louise Little E96864 entity
Predicate residence P75 FINISHED
Object Lansing, Michigan, United States E16556 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: Lansing, Michigan, United States | Statement: [Louise Little, residence, Lansing, Michigan, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lansing, Michigan, United States
Context triple: [Louise Little, residence, Lansing, Michigan, United States]
  • A. Lansing, Michigan chosen
    Lansing, Michigan is the capital city of the U.S. state of Michigan and a historic center of automobile manufacturing and industry.
  • B. Monroe, Michigan
    Monroe, Michigan is a small city in southeastern Michigan near the western shore of Lake Erie, known for its historic downtown, industrial base, and role in the Battle of Frenchtown during the War of 1812.
  • C. Warren, Michigan
    Warren, Michigan is a large suburban city in Macomb County and a major industrial and automotive manufacturing center in the Detroit metropolitan area.
  • D. Lansing
    Lansing is a surname of English origin borne by various notable individuals, including American statesman Robert Lansing.
  • E. Lansing
    Lansing is a small village located within Tompkins County in central New York State, near the city of Ithaca.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fce710481909d90ed4a3d150fde completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0665b548190b6a26cda97cb7f9b completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:07 p.m.