Triple

T4104248
Position Surface form Disambiguated ID Type / Status
Subject Joel Coen E88411 entity
Predicate placeOfBirth P1 FINISHED
Object St. Louis Park, Minnesota E361971 NE FINISHED

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: St. Louis Park, Minnesota | Statement: [Joel Coen, placeOfBirth, St. Louis Park, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Louis Park, Minnesota
Context triple: [Joel Coen, placeOfBirth, St. Louis Park, Minnesota]
  • A. St. Louis Park chosen
    St. Louis Park is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential neighborhoods and proximity to downtown Minneapolis.
  • B. Burnsville, Minnesota
    Burnsville, Minnesota is a suburban city in the Minneapolis–Saint Paul metropolitan area known for its residential communities, commercial centers, and proximity to major transportation routes.
  • C. Robbinsdale
    Robbinsdale is a small suburban city in Hennepin County, Minnesota, located just northwest of Minneapolis.
  • D. Eden Prairie
    Eden Prairie is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential communities, parks, and corporate offices.
  • E. Eagan, Minnesota
    Eagan, Minnesota is a suburban city in the Minneapolis–Saint Paul metropolitan area known for its major corporate presence and proximity to key regional transportation hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7cdc088190a63f6c6d39ca4350 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.