Triple

T11842523
Position Surface form Disambiguated ID Type / Status
Subject Ali (2001 film) E281687 entity
Predicate character P662 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: [Ali (2001 film), character, Don King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don King
Context triple: [Ali (2001 film), character, 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. Jersey Joe Walcott
    Jersey Joe Walcott was an American heavyweight boxing champion known for his crafty, unorthodox style and late-career success in the 1940s and early 1950s.
  • C. Ron Tyson
    Ron Tyson is an American soul and R&B singer best known as a longtime tenor and falsetto vocalist with The Temptations.
  • D. Wayland Holyfield
    Wayland Holyfield is an American country music songwriter known for penning numerous hits for major artists and contributing significantly to the genre’s modern repertoire.
  • E. Calbert Cheaney
    Calbert Cheaney is a former American college basketball star and NBA player best known as the all-time leading scorer in Big Ten Conference history from his standout career at Indiana University.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65a597c8190b09f57463b279afc completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41798b5888190b615d4e23fe3d55e completed May 1, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:43 p.m.