Triple

T2772401
Position Surface form Disambiguated ID Type / Status
Subject Don King E61486 entity
Predicate name P16 FINISHED
Object Don King E7360 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: Don King | Statement: [Don King, name, Don King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don King
Context triple: [Don King, name, Don King]
  • A. Don King chosen
    Don King is an American boxing promoter famous for organizing some of the sport’s biggest championship fights and for his flamboyant, controversial public persona.
  • B. Sonny Liston
    Sonny Liston was a dominant American heavyweight boxer of the late 1950s and early 1960s, best known for his powerful punching and his two historic title fights against Muhammad Ali.
  • C. Emile Griffith
    Emile Griffith was a celebrated Puerto Rican-American professional boxer renowned for winning multiple world titles across welterweight and middleweight divisions during the 1960s.
  • D. Ben Elbert Douglas Sr.
    Ben Elbert Douglas Sr. was a longtime mayor of Charlotte, North Carolina, whose leadership and advocacy for aviation led to the city’s main airport being named in his honor.
  • E. Sugar Ray
    Sugar Ray is a central character in the 1989 comedy-crime film "Harlem Nights," portrayed as a savvy nightclub owner navigating the dangers of the 1930s Harlem underworld.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0528304819081ad54a945acd77a completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.