Triple

T23511853
Position Surface form Disambiguated ID Type / Status
Subject Michael Kelso E572446 entity
Predicate livesIn P40 FINISHED
Object Point Place, Wisconsin 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: Point Place, Wisconsin | Statement: [Michael Kelso, livesIn, Point Place, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Place, Wisconsin
Context triple: [Michael Kelso, livesIn, Point Place, Wisconsin]
  • A. Point Place, Wisconsin chosen
    Point Place, Wisconsin is the fictional suburban Midwestern town that serves as the primary backdrop for the television sitcom "That '70s Show."
  • B. Wind Point, Wisconsin
    Wind Point, Wisconsin is a small lakeside village in Racine County known for its scenic Lake Michigan shoreline and historic Wind Point Lighthouse.
  • C. La Pointe, Wisconsin
    La Pointe, Wisconsin is a small town located on Madeline Island in Lake Superior, known for its scenic beauty, tourism, and Ojibwe cultural heritage.
  • D. Schofield, Wisconsin
    Schofield, Wisconsin is a small city in central Wisconsin that forms part of the Wausau metropolitan area along the Wisconsin River.
  • E. De Soto, Wisconsin
    De Soto, Wisconsin is a small village in southwestern Wisconsin situated along the Mississippi River, known for its scenic bluffs, outdoor recreation, and rural charm.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa7f583881909e78e8fe2e6e25fe completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:07 p.m.