Triple

T19657939
Position Surface form Disambiguated ID Type / Status
Subject Michel Berger E471998 entity
Predicate familyName P18 FINISHED
Object Hamburger NE NERFINISHED

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: Hamburger | Statement: [Michel Berger, familyName, Hamburger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburger
Context triple: [Michel Berger, familyName, Hamburger]
  • A. Burger chosen
    Burger is a common German-origin surname borne by various notable individuals, including former U.S. Chief Justice Warren E. Burger.
  • B. Giant Hamburger
    Giant Hamburger is an alternative title for Claes Oldenburg’s iconic oversized floor sculpture of a hamburger, a pop art work that playfully exaggerates everyday consumer food.
  • C. Quarter Pounder
    The Quarter Pounder is a signature McDonald’s hamburger featuring a beef patty weighing roughly a quarter of a pound before cooking, typically served with cheese, pickles, onions, ketchup, and mustard on a sesame seed bun.
  • D. Sandwich
    Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
  • E. Ratburger
    Ratburger is a children's novel by British comedian and author David Walliams that follows a young girl whose pet rat becomes the target of a sinister burger-making scheme.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641475f408190bd42ef3f8d590719 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.