Triple

T2772402
Position Surface form Disambiguated ID Type / Status
Subject Don King E61486 entity
Predicate birthName P65 FINISHED
Object Donald King E61486 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: Donald King | Statement: [Don King, birthName, Donald King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald King
Context triple: [Don King, birthName, Donald King]
  • A. Donald King chosen
    Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
  • B. Bob King
    Bob King was a prominent American college basketball coach best known for revitalizing the University of New Mexico Lobos program in the 1960s and establishing it as a national contender.
  • C. Cecil King
    Cecil King is a notable British newspaper executive and publisher who played a major role in mid-20th-century media, particularly through his leadership of the Daily Mirror.
  • D. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • E. Perry King
    Perry King is an American actor best known for his roles in films like "The Lords of Flatbush" and the television series "Riptide."
  • 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.