Triple

T17859227
Position Surface form Disambiguated ID Type / Status
Subject Samuel H. Boardman E446021 entity
Predicate familyName P18 FINISHED
Object Boardman 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: Boardman | Statement: [Samuel H. Boardman, familyName, Boardman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boardman
Context triple: [Samuel H. Boardman, familyName, Boardman]
  • A. Boardman chosen
    Boardman is a major suburban community in northeastern Ohio, known for its residential neighborhoods, commercial centers, and role as a key part of the Youngstown metropolitan region.
  • B. Durkee
    Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
  • C. Buhl
    Buhl is a German-language surname most notably associated with Austrian mountaineer Hermann Buhl, famed for his pioneering ascents in the Himalayas.
  • D. Munson
    Munson is an art museum in Utica, New York, known for its diverse collection of American and European works and its role as a regional cultural center.
  • E. Ritchson
    Ritchson is the surname of American actor, model, and filmmaker Alan Ritchson, known for roles in projects like "Reacher" and "Blue Mountain State."
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978e68ec8190a4306f7b7bb058d7 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.