Triple

T21826872
Position Surface form Disambiguated ID Type / Status
Subject Public Law 88-77 E538877 entity
Predicate signedBy P173 FINISHED
Object John F. Kennedy 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: John F. Kennedy | Statement: [Public Law 88-77, signedBy, John F. Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John F. Kennedy
Context triple: [Public Law 88-77, signedBy, John F. Kennedy]
  • A. John F. Kennedy chosen
    John F. Kennedy was the 35th president of the United States, known for his leadership during the Cold War, the Cuban Missile Crisis, and the early stages of the civil rights movement before his assassination in 1963.
  • B. John Kennedy
    John Kennedy is a film director known for his work on the movie "Up in Central Park."
  • C. Presidente Kennedy
    Presidente Kennedy is a small coastal municipality in the Brazilian state of Espírito Santo, known for its beaches and growing oil and gas-related economic activities.
  • D. JFK
    JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
  • E. JFK
    JFK is a 1991 political thriller film directed by Oliver Stone that explores the conspiracy theories surrounding the assassination of U.S. President John F. Kennedy.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f09132ae888190b8c1a8e75b96b5fd completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.