Triple

T14535450
Position Surface form Disambiguated ID Type / Status
Subject Randolph Duke E341031 entity
Predicate businessPartner P282 FINISHED
Object Mortimer Duke E342293 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: Mortimer Duke | Statement: [Randolph Duke, businessPartner, Mortimer Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortimer Duke
Context triple: [Randolph Duke, businessPartner, Mortimer Duke]
  • A. Mortimer Duke chosen
    Mortimer Duke is a wealthy, manipulative commodities broker and one of the scheming Duke brothers in the 1983 comedy film "Trading Places."
  • B. Robert Dukes
    Robert Dukes is an author best known for writing the second installment of the "Bound" series.
  • C. Baron Healey
    Baron Healey is the life peerage title granted to Denis Healey, a prominent British Labour politician and former Chancellor of the Exchequer.
  • D. Geoffrey Mortimer
    Geoffrey Mortimer was a medieval English nobleman and son of Roger Mortimer, 1st Earl of March, belonging to the influential Mortimer family that played a major role in 14th-century English politics.
  • E. Edward D’Oyley
    Edward D’Oyley was a 17th-century English military officer who played a key leadership role in securing and governing Jamaica for England after its capture from Spain.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab414dc8190a233185068cfb8ff completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.