Triple

T20117314
Position Surface form Disambiguated ID Type / Status
Subject Yes! We Have No Bananas E490499 entity
Predicate hasTitle P38 FINISHED
Object Yes! We Have No Bananas 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: Yes! We Have No Bananas | Statement: [Yes! We Have No Bananas, hasTitle, Yes! We Have No Bananas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes! We Have No Bananas
Context triple: [Yes! We Have No Bananas, hasTitle, Yes! We Have No Bananas]
  • A. Yes! We Have No Bananas chosen
    "Yes! We Have No Bananas" is a 1923 novelty song that became a major Tin Pan Alley hit and cultural catchphrase in the United States.
  • B. Going Bananas
    "Going Bananas" is a British comedy film featuring Norman Wisdom in one of his characteristically slapstick, lighthearted roles.
  • C. Hangar à Bananes
    Hangar à Bananes is a former industrial warehouse on the Île de Nantes that has been converted into a popular cultural and nightlife venue with bars, restaurants, and event spaces.
  • D. Take Banana
    "Take Banana" is a popular Nigerian Afropop song by singer D'Prince, known for its catchy hook and playful, dance-oriented style.
  • E. The Banana Question
    The Banana Question is a track by the electronic music producer and DJ known as Accelerator.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673ab4e08190b76ec742605e103b completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.