Triple

T7198704
Position Surface form Disambiguated ID Type / Status
Subject Harvey E168680 entity
Predicate associatedWithPerson P37 FINISHED
Object John F. Kennedy E305 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: John F. Kennedy | Statement: [Harvey, associatedWithPerson, John F. Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John F. Kennedy
Context triple: [Harvey, associatedWithPerson, 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. JFK
    JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
  • C. RJFK
    RJFK is the ICAO airport code for Kagoshima Airport, a regional and domestic aviation hub on Japan’s Kyushu island.
  • D. John Fitzgerald
    John Fitzgerald is a historical frontiersman and fur trapper best known for abandoning the grievously injured Hugh Glass during an 1823 expedition, an event later popularized in books and films such as "The Revenant."
  • E. John Fitzgerald
    John Fitzgerald is the founder of the global financial services firm Cantor Fitzgerald.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e92b8bc08190bfcdd34ce42e3448 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbecb7ec819080b12a63dfa56328 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:52 p.m.