Triple

T387147
Position Surface form Disambiguated ID Type / Status
Subject Robert F. Kennedy E8803 entity
Predicate alsoKnownAs P39 FINISHED
Object RFK E8803 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: RFK | Statement: [Robert F. Kennedy, alsoKnownAs, RFK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RFK
Context triple: [Robert F. Kennedy, alsoKnownAs, RFK]
  • A. Robert F. Kennedy chosen
    Robert F. Kennedy was a prominent American politician and lawyer who served as U.S. Attorney General and later as a U.S. senator before his assassination during his 1968 presidential campaign.
  • B. Kennedy
    Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
  • C. JFK
    JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
  • D. Rubin
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • E. Bill Graham
    Bill Graham was a legendary rock concert promoter and impresario who played a pivotal role in shaping the San Francisco music scene and the rise of 1960s counterculture.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5828d881909e8810061c02480c completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe9755c08190a6f046ca56531df5 completed March 1, 2026, 8:53 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.