Triple

T15957977
Position Surface form Disambiguated ID Type / Status
Subject Can’t We Be Friends? E386983 entity
Predicate partOfAlbum P35 FINISHED
Object Ella and Louis E82119 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: Ella and Louis | Statement: [Can’t We Be Friends?, partOfAlbum, Ella and Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ella and Louis
Context triple: [Can’t We Be Friends?, partOfAlbum, Ella and Louis]
  • A. Ella and Louis chosen
    "Ella and Louis" is a classic 1956 jazz album featuring vocal duets by Ella Fitzgerald and Louis Armstrong, celebrated for its warm, intimate interpretations of Great American Songbook standards.
  • B. Alexis
    Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
  • C. Marie and Bruce
    Marie and Bruce is a darkly comic play by Wallace Shawn that explores the disintegration of a troubled marriage through sharp, absurdist dialogue.
  • D. Lulu Harcourt
    Lulu Harcourt is the nickname of Lewis Vernon Harcourt, a British Liberal politician who served as Secretary of State for the Colonies in the early 20th century.
  • E. Alexis Maas
    Alexis Maas is an American woman best known as the fourth and final wife of legendary television host Johnny Carson.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fd7ce08190b5db4b486ccb6e40 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.