Triple

T5644052
Position Surface form Disambiguated ID Type / Status
Subject Donny Osmond E124339 entity
Predicate givenName P17 FINISHED
Object Donald E14147 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 | Statement: [Donny Osmond, givenName, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald
Context triple: [Donny Osmond, givenName, Donald]
  • A. Donald
    Donald is the surname of Aaron Donald, the dominant American football defensive tackle widely regarded as one of the greatest defensive players in NFL history.
  • B. Donald
    Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
  • C. Donald
    Donald is the given name of Don Revie, the renowned English football player and manager best known for his successful tenure at Leeds United.
  • D. Donald chosen
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • E. Donald
    Donald III of Scotland was a late 11th-century King of Scots who briefly ruled following the death of his brother Malcolm III.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a7cd9c819087f86f60e8b65fc3 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a1d7af8819092e28ce9fb14d1f1 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:41 p.m.