Triple

T20906494
Position Surface form Disambiguated ID Type / Status
Subject Charles Fillmore E514811 entity
Predicate notableWork P4 FINISHED
Object Prosperity 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: Prosperity | Statement: [Charles Fillmore, notableWork, Prosperity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prosperity
Context triple: [Charles Fillmore, notableWork, Prosperity]
  • A. Prosperity
    Prosperity is a small unincorporated community located in Raleigh County, West Virginia, United States.
  • B. Prosperity chosen
    Prosperity is a 1932 American comedy film starring Marie Dressler and Polly Moran, known for its humorous take on financial hardship during the Great Depression.
  • C. Prosperity
    Prosperity is an Irish television drama series in which Laurence Kinlan played a significant role.
  • D. Peace and Prosperity
    "Peace and Prosperity" was the optimistic campaign slogan used to promote Dwight D. Eisenhower’s successful 1956 U.S. presidential re-election bid, emphasizing stability and economic growth.
  • E. Prosperidad
    Prosperidad is a residential neighborhood in Madrid, Spain, known for its traditional streets, local commerce, and location within the Chamartín district.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e9001a8c81909fa1004b5977d04f completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.