Triple

T18859438
Position Surface form Disambiguated ID Type / Status
Subject Moses H. Grinnell E461269 entity
Predicate familyName P18 FINISHED
Object Grinnell 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: Grinnell | Statement: [Moses H. Grinnell, familyName, Grinnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grinnell
Context triple: [Moses H. Grinnell, familyName, Grinnell]
  • A. Grinnell
    Grinnell is a Johnson Controls brand known for its fire protection and mechanical piping products and systems.
  • B. Grinnell, Iowa chosen
    Grinnell, Iowa is a small city in central Iowa best known as the home of Grinnell College, a highly regarded liberal arts institution.
  • C. Yankton
    Yankton are a Native American group that forms one of the principal divisions of the Dakota (Sioux) people, traditionally living in the Upper Midwest region of the United States.
  • D. Iowa Falls
    Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
  • E. Red Cedar Falls
    Red Cedar Falls is a picturesque waterfall located in Dorrigo National Park, New South Wales, Australia, known for its lush rainforest surroundings and accessible walking track.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05fb800819098951ec134a1fa2a completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.