Triple

T17617169
Position Surface form Disambiguated ID Type / Status
Subject Samantha Albertson E429112 entity
Predicate storySetting P1957 FINISHED
Object Shelby, Indiana (fictional town) 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: Shelby, Indiana (fictional town) | Statement: [Samantha Albertson, storySetting, Shelby, Indiana (fictional town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelby, Indiana (fictional town)
Context triple: [Samantha Albertson, storySetting, Shelby, Indiana (fictional town)]
  • A. Shelby, Indiana chosen
    Shelby, Indiana is an unincorporated community in Lake County known for its rural character and proximity to the Kankakee River in northwestern Indiana.
  • B. Shirley, Indiana
    Shirley, Indiana is a small rural town in central Indiana that lies partly in Hancock County and is known for its quiet residential character.
  • C. Monroeville, Indiana
    Monroeville, Indiana is a small town in northeastern Indiana known for its rural character and close-knit community.
  • D. Thorntown, Indiana
    Thorntown, Indiana is a small town in Boone County known for its rural Midwestern character and historic downtown.
  • E. Sheridan, Indiana
    Sheridan, Indiana is a small town in central Indiana known for its rural character and location within the Indianapolis metropolitan area.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.