Triple

T14218778
Position Surface form Disambiguated ID Type / Status
Subject Des Courtney E352429 entity
Predicate supportsCharacter P16523 FINISHED
Object Jake Doyle E1175763 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: Jake Doyle | Statement: [Des Courtney, supportsCharacter, Jake Doyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Doyle
Context triple: [Des Courtney, supportsCharacter, Jake Doyle]
  • A. Jake Doyle chosen
    Jake Doyle is the wisecracking private investigator protagonist of the Canadian television series "Republic of Doyle," set in St. John’s, Newfoundland.
  • B. Kevin Doyle
    Kevin Doyle is the witty, secretly romantic journalist and love interest of Katherine Heigl’s character in the romantic comedy film "27 Dresses."
  • C. Jack Doolan
    Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
  • D. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • E. Patrick Doherty
    Patrick Doherty was one of the unarmed civil rights marchers shot and killed by British soldiers during the Bloody Sunday massacre in Derry, Northern Ireland, in 1972.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff99742618819083bba63ce9f27895 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 1:06 a.m.