Triple

T19527463
Position Surface form Disambiguated ID Type / Status
Subject Hank Worden E488563 entity
Predicate placeOfBirth P1 FINISHED
Object Rolfe, Iowa, United States 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: Rolfe, Iowa, United States | Statement: [Hank Worden, placeOfBirth, Rolfe, Iowa, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolfe, Iowa, United States
Context triple: [Hank Worden, placeOfBirth, Rolfe, Iowa, United States]
  • A. Rolfe, Iowa chosen
    Rolfe, Iowa is a small rural city in Pocahontas County known for its agricultural surroundings and proximity to recreational trails in north-central Iowa.
  • B. Rowley, Iowa
    Rowley, Iowa is a small rural city in Buchanan County in eastern Iowa, United States.
  • C. Winthrop, Iowa, United States
    Winthrop, Iowa, United States is a small rural city in Buchanan County best known as the hometown of actress Michelle Monaghan.
  • D. Russell, Iowa
    Russell, Iowa is a small rural city located in south-central Iowa within Lucas County.
  • E. Boone, Iowa, United States
    Boone, Iowa, United States, is a small Midwestern city best known as the birthplace of former First Lady Mamie Eisenhower.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363c2660819093a6b9a444ca0ad4 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.