Triple

T21395957
Position Surface form Disambiguated ID Type / Status
Subject Gary Grubbs E527780 entity
Predicate notableWork P4 FINISHED
Object JFK 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: JFK | Statement: [Gary Grubbs, notableWork, JFK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JFK
Context triple: [Gary Grubbs, notableWork, JFK]
  • A. JFK
    JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
  • B. JFK chosen
    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.
  • 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. John F. Kennedy
    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.
  • E. RJFK
    RJFK is the ICAO airport code for Kagoshima Airport, a regional and domestic aviation hub on Japan’s Kyushu island.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b11981388190874b8466400b39fe completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.