Triple

T10016423
Position Surface form Disambiguated ID Type / Status
Subject Frieda MacTeer E199506 entity
Predicate settingOfLife P3562 FINISHED
Object Lorain, Ohio E20113 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: Lorain, Ohio | Statement: [Frieda MacTeer, settingOfLife, Lorain, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorain, Ohio
Context triple: [Frieda MacTeer, settingOfLife, Lorain, Ohio]
  • A. Lorain
    Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
  • B. Canton, Ohio
    Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
  • C. Lorain, Ohio, United States chosen
    Lorain, Ohio, United States is an industrial city on Lake Erie best known as the birthplace of Nobel Prize–winning author Toni Morrison.
  • D. Clyde, Ohio
    Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
  • E. Milan, Ohio
    Milan, Ohio is a small historic village in northern Ohio best known as the birthplace of inventor Thomas Edison.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4c17848190bf1a8017e755ba75 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e177fcc81908613409c03995ea8 completed April 10, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:53 p.m.